awesome-awesomeness/html/computationalneuroscience.md2.html

<h1 id="awesome-computational-neuroscience-awesome">Awesome
Computational Neuroscience <a href="https://awesome.re"><img
src="https://awesome.re/badge.svg" alt="Awesome" /></a></h1>
<p>To contribute, see <a
href="https://github.com/eselkin/awesome-computational-neuroscience/blob/master/contributing.md">:pencil2:
code of contribution</a></p>
<p><a
href="https://en.wikipedia.org/wiki/Computational_neuroscience">Computational
neuroscience</a> is a multidisciplinary science that joins
biology/neuroscience, medicine, biophysics, psychology, computer
science, mathematics, and statistics to study the nervous system using
computational approaches.</p>
<p>This list of schools and researchers in computational neuroscience,
theoretical neuroscience, (and systems neuroscience) aims to give a
global perspective of researchers in the field, make it easier to apply
to the listed institutions, and also provide a reasonable way to find an
advisor.</p>
<p>In addition to names of PIs, excerpts of their academic biographies,
and links to their publications, many of the researchers are qualified
with a small scale “+/=/- computational.” The metric is subjective to
the editor of that material but it generally breaks down as: (+) refers
to a researcher the university identifies as a computational
neuroscientist, their bio consistently identifies a significant
component of their research is in the field, and they have a significant
body of work in the field. (=) refers to the fact that the university
identifies them as practicing computational research and they have
occasionally produced articles in the field. (-) means that the
university identifies them as practicing computational neuroscience,
their bio might also mention it, but articles could not be found that
represent this material. As with ratings, this metric might change for a
researcher over time as they publish more.</p>
<h2 id="contents">Contents</h2>
<ul>
<li><a href="#europe">Europe</a>
<ul>
<li><a href="#germany">Germany</a>
<ul>
<li><a href="#ini">INI</a></li>
</ul></li>
<li><a href="#italy">Italy</a>
<ul>
<li><a href="#sissa">SISSA</a></li>
</ul></li>
<li><a href="#norway">Norway</a>
<ul>
<li><a href="#ntnu">NTNU</a></li>
</ul></li>
<li><a href="#switzerland">Switzerland</a>
<ul>
<li><a href="#epfl">EPFL</a></li>
</ul></li>
</ul></li>
<li><a href="#north-america">North America</a>
<ul>
<li><a href="#canada">Canada</a>
<ul>
<li><a href="#ontario">Ontario</a>
<ul>
<li><a href="#university-of-waterloo">University of Waterloo</a></li>
</ul></li>
</ul></li>
<li><a href="#united-states">United States</a>
<ul>
<li><a href="#us-west">U.S. West</a>
<ul>
<li><a href="#california-institute-of-technology">California Institute
of Technology</a></li>
<li><a href="#stanford-university">Stanford University</a></li>
<li><a href="#university-of-california-berkeley">University of
California, Berkeley</a></li>
<li><a href="#university-of-california-davis">University of California,
Davis</a></li>
<li><a href="#university-of-california-irvine">University of California,
Irvine</a></li>
<li><a href="#university-of-california-los-angeles">University of
California, Los Angeles</a></li>
<li><a href="#university-of-california-san-diego">University of
California San Diego</a></li>
<li><a href="#university-of-california-santa-barbara">University of
California, Santa Barbara</a></li>
<li><a href="#university-of-oregon">University of Oregon</a></li>
<li><a href="#university-of-southern-california">University of Southern
California</a></li>
<li><a href="#university-of-texas-austin">University of Texas,
Austin</a></li>
<li><a href="#university-of-washington-seattle">University of
Washington, Seattle</a></li>
</ul></li>
<li><a href="#us-central">U.S. Central</a>
<ul>
<li><a href="#university-of-chicago">University of Chicago</a></li>
<li><a href="#university-of-illinois">University of Illinois</a></li>
<li><a href="#university-of-iowa">University of Iowa</a></li>
<li><a href="#indiana-university">Indiana University</a></li>
<li><a href="#university-of-minnesota">University of Minnesota</a></li>
</ul></li>
<li><a href="#us-east">U.S. East</a>
<ul>
<li><a href="#boston-university">Boston University</a></li>
<li><a href="#brandeis-university">Brandeis University</a></li>
<li><a href="#brown-university">Brown University</a></li>
<li><a
href="#carnegie-mellon-university-and-university-of-pittsburgh">Carnegie
Mellon University and University of Pittsburgh</a></li>
<li><a href="#columbia-university">Columbia University</a></li>
<li><a href="#johns-hopkins-university">Johns Hopkins
University</a></li>
<li><a
href="#johns-hopkins-university---janelia-joint-graduate-program">Johns
Hopkins University - Janelia Joint Graduate Program</a></li>
<li><a href="#massachussetts-institute-of-technology">Massachussetts
Institute of Technology</a></li>
</ul></li>
</ul></li>
</ul></li>
</ul>
<h2 id="europe">Europe</h2>
<h3 id="germany">Germany</h3>
<h4 id="ini">INI</h4>
<ul>
<li><a
href="https://www.ini.rub.de/research/groups/computational_neuroscience/">Ruhr-Universität
Bochum, Institut für Neuroinformatik (INI)</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table style="width:100%;">
<colgroup>
<col style="width: 1%" />
<col style="width: 85%" />
<col style="width: 10%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Cheng, Sen</td>
<td>Our first approach is modeling, including mathematic models as well
as computer simulation of complex networks. While all models are
simplified, we aim to build biologically realistic models that capture
the essence of the neural circuit mechanism underlying learning and
memory. Our second approach is data-mining. We develop methods for
model-based data analysis and apply such methods to experimental data.
These data include electrophysiological and EEG recordings as well as
behavioral data. We collaborate closely with neuroscientists on the RUB
campus and at other universities in Germany and abroad.</td>
<td><a
href="https://www.ini.rub.de/the_institute/people/sen-cheng/#publications">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h3 id="italy">Italy</h3>
<h4 id="sissa">SISSA</h4>
<ul>
<li><a href="https://phdcns.sissa.it/admission-procedure">International
School for Advanced Studies (SISSA), Trieste</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
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<col style="width: 1%" />
<col style="width: 84%" />
<col style="width: 11%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Treves, Alessandro</td>
<td><a href="https://people.sissa.it/~ale/limbo.html">Hippocampal
Processing: The aim is to understand how the hippocampus contributes to
memory, focusing on modelling coding strategies within each structure of
the hippocampal formation (e.g. self-organization of grid
representations), as well as interactions between different structures.
Neural Basis of Language: The aim is to describe network behaviour that
could subserve Language production. A class of reduced Potts models of
large semantic associative networks, endowed with adaptation, naturally
displays Latching dynamics, i.e. hopping from one attractor to the next.
Such dynamics may be associated with a network capacity for infinite
recursion, which is considered as the core of several higher cognitive
functions.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=I2Y8X5AAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h3 id="norway">Norway</h3>
<h4 id="ntnu">NTNU</h4>
<ul>
<li><a href="https://www.ntnu.edu/kavli">Kavli Institute for Systems
Neuroscience Center for Neural Computation @ Norwegian University of
Science and Technology</a></li>
<li><a href="https://www.ntnu.edu/studies/phmed">Apply to Ph.D. in
Medicine and Health Sciences. Masters degree requirement. Admission is
rolling. Applications to the department with the desired academic
advisor.</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table style="width:100%;">
<colgroup>
<col style="width: 2%" />
<col style="width: 3%" />
<col style="width: 81%" />
<col style="width: 9%" />
<col style="width: 1%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Department</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Moser, Edvard Ingjald</td>
<td>Kavli Institute for Systems Neuroscience</td>
<td><a href="https://www.ntnu.edu/kavli/moser-group#/view/about">The
Moser group implements and develops tools for large-scale brain
recordings using standard tetrode recording as well as recently
introduced high-site-count silicon probes (meaning they can sample from
a particular brain area with high-resolution). In addition, they use
portable two-photon microscopes for high-resolution optical imaging of
neuronal activity. This means they can record the brain signal of many
neurons, while the mice are allowed to freely move through the
environment.</a></td>
<td><a
href="https://www.ntnu.edu/kavli/moser-group#/view/publications">Lab</a></td>
<td>+?</td>
</tr>
<tr class="even">
<td>Moser, May-Britt</td>
<td>Kavli Institute for Systems Neuroscience</td>
<td><a href="https://www.ntnu.edu/kavli/moser-group#/view/about">The
Moser group implements and develops tools for large-scale brain
recordings using standard tetrode recording as well as recently
introduced high-site-count silicon probes (meaning they can sample from
a particular brain area with high-resolution). In addition, they use
portable two-photon microscopes for high-resolution optical imaging of
neuronal activity. This means they can record the brain signal of many
neurons, while the mice are allowed to freely move through the
environment.</a></td>
<td><a
href="https://www.ntnu.edu/kavli/moser-group#/view/publications">Lab</a></td>
<td>+?</td>
</tr>
<tr class="odd">
<td>Witter, Menno P.</td>
<td>Kavli Institute for Systems Neuroscience</td>
<td><a
href="https://www.ntnu.edu/kavli/witter-group#/view/about">Witter’s team
uses genetically engineered animals and non-infectious viral tracers to
fluorescently visualize specific cell types and connections within the
entorhinal cortex. After identifying cell types and connections, the
team can turn specific cells on and off with laser beams (a technique
known as optogenetics) and then study the effect of this manipulation on
the rest of the circuit.</a></td>
<td><a
href="https://www.ntnu.edu/kavli/witter-group#/view/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Kentros, Clifford</td>
<td>Kavli Institute for Systems Neuroscience</td>
<td><a href="https://www.kentroslab.com/research">The Kentros laboratory
uses mouse molecular genetic techniques to address the neural circuitry
underlying learning and memory. Combining the anatomical specificity of
mouse molecular genetics with in vivo recordings from awake, behaving
animals gives an edge to analyzing the functional circuitry of
memory.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=YtdZeFgAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Roudi, Yasser</td>
<td>Kavli Institute for Systems Neuroscience</td>
<td><a href="https://www.ntnu.edu/kavli/roudi-group#/view/about">Roudi’s
team uses mathematical tools from the field of theoretical physics to
analyse big datasets, to develop models that draw out neural mechanisms
in big datasets, and to identify and describe universal principles in
biological systems.</a></td>
<td><a href="https://www.spinorkavli.org/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Whitlock, Jonathan</td>
<td>Kavli Institute for Systems Neuroscience</td>
<td><a href="https://www.whitlocklab.org/">The Whitlock group uses
several tools to tackle their research questions: (1) a tracking and
visualization software (developed in-house), which follows and records a
rat’s movement through three-dimensional space and (2)
electrophysiological recordings of the rat’s brain while it moves
through that three-dimensional space. These two pieces of information
(behavior and neural activity) are then analyzed using statistical
methods. The parallel anatomical work in mice used tracers and markers
to map out the circuits of the PPC.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=OFVqZ6IAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Yakse, Emre</td>
<td>Kavli Institute for Systems Neuroscience</td>
<td><a href="https://yaksilab.com">The Yaksi group uses two-photon
microscopy, electrophysiology, genetic and applied mathematical tools to
measure and analyze neural activity across the whole brain of awake,
behaving juvenile zebrafish in naturalistic and virtual reality
environments.</a></td>
<td><a href="https://yaksilab.com/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Doeller, Christian</td>
<td>Medicine and Neuroscience</td>
<td><a href="https://doellerlab.com/research/">The Doeller and Kaplan
group uses neuroimaging techniques such as functional magnetic resonance
imaging (fMRI) and magnetoencephalography (MEG) to investigate brain
systems that support learning, memory, and decision making. The former
technique boasts relatively good “spatial resolution” (the ability to
detect where a signal is coming from) while the latter boasts good
“temporal resolution” (the ability to detect when a signal occurs). By
combining this data with electrophysiological recordings from rodents,
the team is able to paint a more comprehensive picture of the link
between entorhinal brain signals and general cognition. … Our framework
is concerned with the key idea that this navigation system in the
brain—potentially as a result of evolution—provides a fundamental neural
metric for human cognition.</a></td>
<td><a href="https://doellerlab.com/publications/">Lab</a></td>
<td>+?</td>
</tr>
<tr class="odd">
<td>Kaplan, Raphael Samuel Matthew</td>
<td>Kavli Institute for Systems Neuroscience</td>
<td><a href="https://doellerlab.com/research/">See Doeller lab</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=NHhnjsIAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+?</td>
</tr>
</tbody>
</table>
</div>
<h3 id="switzerland">Switzerland</h3>
<h4 id="epfl">EPFL</h4>
<ul>
<li><a
href="https://www.epfl.ch/education/phd/edne-neuroscience/">Neuroscience
(EDNE)</a></li>
<li><a
href="https://www.epfl.ch/education/phd/edic-computer-and-communication-sciences/">Computer
and Communication Sciences (EDIC)</a></li>
<li><a
href="https://www.epfl.ch/education/phd/edcb-computational-and-quantitative-biology/">Computational
and Quantitative Biology (EDCB)</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 1%" />
<col style="width: 84%" />
<col style="width: 11%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Gerstner, Wulfram</td>
<td><a href="https://people.epfl.ch/wulfram.gerstner">As director of the
Laboratory of Computational Neuroscience LCN at the EPFL, Wulfram
Gerstner conducts research in computational neuroscience with special
emphasis on models of spiking neurons, spike-timing dependent
plasticity, and reward-based learning in spiking neurons. The questions
on learning in spiking neurons are linked to the problem of neuronal
coding in single neurons and populations. His teaching concentrates on
learning in formal models and biological systems.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=vSd2RnEAAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Mathis, Mackenzie</td>
<td><a href="https://www.epfl.ch/labs/mackenziemathis-lab/">The goal of
the laboratory is to reverse engineer the neural circuits that drive
adaptive motor behavior by studying artificial and natural intelligence.
We hope that by understanding the neural basis of adaptive motor control
we can open new avenues in therapeutic research for neurological
disease, help build better machine learning tools, and crucially,
provide fundamental insights into brain function.</a></td>
<td><a
href="https://scholar.google.com/citations?user=IhqY9XgAAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Mathis, Alexander</td>
<td><a href="https://www.mathislab.org/people">My work strives to
understand how the brain creates complex behavior. To achieve that goal,
in part, I develop tools for accurate measurement of behavior and make
sure that they are broadly accessible for the community. Secondly, I
make models and theories to elucidate how the brain gives rise to
adaptive behaviors with a specific focus on motor control and
sensorimotor learning.</a></td>
<td><a
href="https://scholar.google.com/citations?user=Y1xCzE0AAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Blanke, Olaf</td>
<td><a href="https://www.epfl.ch/labs/lnco/research/">The Blanke Lab has
three missions – the neuroscientific study of consciousness, the
adaptation and development of technologies for human neuroscience, and
the development of cognitive neuroprostheses in clinical
research.</a></td>
<td><a
href="https://scholar.google.com/citations?user=x-VifU4AAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Herzog, Michael</td>
<td><a href="https://www.epfl.ch/labs/lpsy/">In the Laboratory of
Psychophysics, we investigate visual information processing in human
observers with psychophysical methods, TMS, EEG, and mathematical
modelling. Main topics of research are: feature integration, contextual
modulation, time course of information processing, and perceptual
learning. In clinical studies, deficits of visual information processing
are investigated in schizophrenic patients.</a></td>
<td><a
href="https://scholar.google.com/citations?user=2ZOV3rIAAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Lacour, Stéphanie</td>
<td><a href="https://people.epfl.ch/stephanie.lacour/">Bioelectronics
integrates principles of electrical engineering to biology, medicine and
ultimately health. My lab challenges and seeks to advance our
fundamental concepts in man-made electronic systems applied to biology.
Specifically, the focus is on designing and manufacturing electronic
devices with mechanical properties close to those of the host biological
tissue so that long-term reliability and minimal perturbation are
induced in vivo and/or truly wearable systems become possible. We use
fabrication methods borrowed from the MEMS and microelectronics
industries and adapt them to soft substrates like elastomers. We develop
novel characterization tools adapted to mechanically compliant
bioelectronic circuits. We evaluate in vitro, in animal models and
ultimately on humans our soft bioelectronic interfaces</a></td>
<td><a
href="https://scholar.google.com/citations?user=1K-jygEAAAAJ">Google</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>Hummel, Friedhelm</td>
<td><a href="https://www.epfl.ch/labs/hummel-lab/research/">The research
focus of the Hummel Lab is on systems and translational neuroscience.
The main research topics are targeted towards neuroplasticity, neuronal
control of sensorimotor function, motor skill acquisition and learning,
healthy aging and especially on functional reorganization and recovery
after focal Brain lesions by using multimodal systems neurosciences
approaches including modern neuroimaging, brain stimulation and
psychophysical and clinical evaluations. We are especially interested in
the understanding of underlying mechanism of healthy aging and of
functional regeneration after focal brain lesions, such as after stroke
or traumatic brain injury and how they can be modulated, e.g. by
non-invasive brain stimulation with overarching goal to translate the
knowledge from “bench” to daily life clinical “bedside”. One of our main
characteristics is the multimodal methodological expertise in our lab.
As such we use modern neuroimaging and neurostimulation.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=7pTiJewAAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Shoaran, Mahsa</td>
<td><a href="https://people.epfl.ch/mahsa.shoaran/">Our research at INL
lies at the intersection of circuit design, machine learning, and
neuroscience, and our mission is to develop new diagnostic and
therapeutic devices for neurological and neuropsychiatric disorders. We
use advanced circuit design techniques to build low-power and
miniaturized system-on-chips (SoCs) that can record neural activity,
detect brain dysfunction in real time, and respond by therapeutic
intervention such as neurostimulation. We use machine learning
techniques for accurate detection of neurological symptoms in
closed-loop neural implants, and for motor decoding in brain-machine
interface systems.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=9tu1zw4AAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Markram, Henry</td>
<td><a href="https://www.epfl.ch/labs/markram-lab/">The Laboratory of
Neural Microcircuitry (LNMC), headed by Professor Henry Markram, is
dedicated to understanding the structure, function and plasticity of the
neural microcircuits, with emphasis on the neocortex.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=W3lyJF8AAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Fua, Pascal</td>
<td><a href="https://people.epfl.ch/pascal.fua/">The research activities
of the Computer Vision Laboratory focus on shape and motion recovery
from images, object and people detection and tracking in video
sequences, and analysis of brain microscopy image-stacks. CVLab also
provides undergraduate and graduate teaching and performs technology
transfer to both established and start up companies.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=kzFmAkYAAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Hess Bellwald, Kathryn</td>
<td><a href="https://people.epfl.ch/kathryn.hess/">Her research focuses
on algebraic topology and its applications, primarily in the life
sciences, but also in materials science. She has published extensively
on topics in pure algebraic topology including homotopy theory, operad
theory, and algebraic K-theory. On the applied side, she has elaborated
methods based on topological data analysis for high-throughput screening
of nanoporous crystalline materials, classification and synthesis of
neuron morphologies, and classification of neuronal network dynamics.
She has also developed and applied innovative topological approaches to
network theory, leading to a powerful, parameter-free mathematical
framework relating the activity of a neural network to its underlying
structure, both locally and globally.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=pJYDrPgAAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Van De Ville, Dimitri</td>
<td><a href="https://miplab.epfl.ch/index.php/people/vandeville">I want
to advance our understanding of the human body, in particular of brain
function in health and disorder using non-invasive imaging techniques.
To that aim, I pursue the development of methodological tools in signal
and image processing to probe into network organization and dynamics, at
various stages of the acquisition, processing, and analysis
pipeline.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=kFz4LNMAAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Courtine, Grégoire</td>
<td><a href="https://people.epfl.ch/gregoire.courtine">Our mission is to
design innovative interventions to restore sensorimotor functions after
CNS disorders, especially spinal cord injury, and to translate our
findings into effective clinical applications capable of improving the
quality of life of people with neuromotor impairments.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=Jvd6Y1UAAAAJ">Google</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Ramdya, Pavan P</td>
<td><a href="https://people.epfl.ch/pavan.ramdya">We use genetics,
microscopy, modeling, and quantitative behavioral analysis to understand
how the brain works.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=VGOSUXMAAAAJ">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h2 id="north-america">North America</h2>
<h3 id="canada">Canada</h3>
<h4 id="ontario">Ontario</h4>
<h5 id="university-of-waterloo">University of Waterloo</h5>
<ul>
<li><a
href="https://uwaterloo.ca/centre-for-theoretical-neuroscience/graduate-students/apply-admissions">Theoretical
Neuroscience</a></li>
<li>Apply: Apply to established graduate department
(e.g. <a href="https://uwaterloo.ca/graduate-studies-academic-calendar/mathematics/department-applied-mathematics/doctor-philosophy-phd-applied-mathematics#admission_requirements
      ">Applied Math</a>,
<a href="https://uwaterloo.ca/graduate-studies-academic-calendar/mathematics/david-r-cheriton-school-computer-science/doctor-philosophy-phd-computer-science">Computer
science</a>,
<a href="https://uwaterloo.ca/graduate-studies-academic-calendar/arts/department-psychology/doctor-philosophy-phd-psychology">Psychology</a>,
<a href="https://uwaterloo.ca/graduate-studies-academic-calendar/mathematics/department-statistics-and-actuarial-science/doctor-philosophy-phd-statistics">Statistics</a>)</li>
<li>For CS a GRE is required if you have not completed a Bachelor’s
degree in a North American university with English as a primary
language.</li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 9%" />
<col style="width: 72%" />
<col style="width: 15%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Anderson, Britt</td>
<td><a
href="https://uwaterloo.ca/centre-for-theoretical-neuroscience/people-profiles/britt-anderson">Dr. Anderson
combines computational and empirical approaches in the study of spatial
attention and general cognitive ability.</a></td>
<td><a href="https://brittlab.uwaterloo.ca/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Campbell, Sue Ann</td>
<td><a
href="https://uwaterloo.ca/centre-for-theoretical-neuroscience/people-profiles/sue-ann-campbell">Her
main research interest is in the mathematical modelling of neural
systems at the single cell and small network level.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=KgioDk8AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Danckert, James</td>
<td><a
href="https://uwaterloo.ca/danckert-attention-group/">Dr. Danckert’s
research explores the role of parietal cortex in the control of visually
guided actions and examines the consequences of injury to this part of
the brain.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=Bb2jD2QAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Eliasmith, Chris</td>
<td><a
href="https://uwaterloo.ca/centre-for-theoretical-neuroscience/people-profiles/chris-eliasmith">With
Charles Anderson, I have developed a general method for building
large-scale, biologically detailed models of neural systems. I have
applied this method in a variety of contexts, including rat navigation,
working memory, lamprey swimming, hemineglect, and language-based
reasoning.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=KOBO-6QAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Fugelsang, Jonathan</td>
<td><a
href="https://uwaterloo.ca/psychology/people-profiles/jonathan-fugelsang">To
understand the mechanisms underlying these processes, I use both
behavioural and functional brain imaging (e.g., ERP, Functional Magnetic
Resonance Imaging [fMRI]) methodologies.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=FD3P_78AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>-</td>
</tr>
<tr class="even">
<td>Ingalls, Brian (More computational biology than neuroscience)</td>
<td><a href="https://uwaterloo.ca/scholar/bingalls/">We use mathematical
models and experimental methods to investigate the behaviour of
intracellular molecular networks and cell-to-cell interactions. This
work ranges from fundamental studies of biology to applications in
biotechnology and health</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=Td4gEp0AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Kapre, Nachiket (CS only, unrelated)</td>
<td><a
href="https://uwaterloo.ca/electrical-computer-engineering/profile/nachiket">Digital
systems, Embedded computing systems, Reconfigurable computing, FPGA
Architecture, Applications, Compilers</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=JxwwXHMAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Marriott, Paul (Applied math, some NS)</td>
<td><a
href="https://uwaterloo.ca/centre-for-theoretical-neuroscience/people-profiles/paul-marriott">His
interests focus on using geometric ideas, for example differential or
convex geometry in statistics. He has recently been working on geometric
methods to understand mixture models.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=hX40SzUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Orchard, Jeff</td>
<td><a href="https://cs.uwaterloo.ca/~jorchard/UWaterloo/Home.html">My
research aim is to uncover mechanisms that underlie the computational
and organizational aspects of the brain. For example, what function does
feedback play in our brains, and how do our expectations influence our
perceptions? I study these questions by modelling neural
networks.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=cAfBytAAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Spafford, J. David</td>
<td><a
href="https://uwaterloo.ca/centre-for-theoretical-neuroscience/people-profiles/j-david-spafford">Major
projects in Dr. Spafford’s lab focus on the: a) cellular and molecular
mechanisms underlying calcium channel expression and localization in
developing synapses; b) modulation of calcium channel function by G
proteins, phosphorylation and synaptic proteins; c) isolation and
characterization of anti-calcium channel toxins for caveolin 1 (Cav1),
Cav2 and Cav3 calcium channels.</a></td>
<td></td>
<td>-</td>
</tr>
<tr class="odd">
<td>Tripp, Bryan</td>
<td><a
href="https://uwaterloo.ca/centre-for-theoretical-neuroscience/people-profiles/bryan-tripp">The
central goal of the lab is to develop increasingly realistic
computer/robotic models of the dorsal visual pathways and the networks
that control eye and limb motion.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=OUMJw3oAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h3 id="united-states">United States</h3>
<h4 id="u.s.-west">U.S. West</h4>
<h5 id="california-institute-of-technology">California Institute of
Technology</h5>
<ul>
<li><a
href="http://www.cns.caltech.edu/admissions/index.html">CNS</a></li>
<li><a
href="http://www.gradoffice.caltech.edu/admissions/applyonline">General
Graduate application, multidisciplinary program.</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 84%" />
<col style="width: 11%" />
<col style="width: 1%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Abu-Mostafa, Yaser</td>
<td><a
href="http://www.cns.caltech.edu/people/faculty/abu-mostafa.html">The
Learning Systems group at Caltech works on the theory, implementation,
and application of automated learning, pattern recognition, and neural
networks. We are an interdisciplinary group with students coming from
Electrical Engineering, Computer Science, Mathematics, and Physics. We
work on a variety of projects analyzing and synthesizing systems that
can be trained to perform their task.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Abu-mostafa,+yasser+caltech&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Adolphs, Ralph</td>
<td><a href="http://emotion.caltech.edu/">The Emotion and Social
Cognition Lab (aka “The Adolphs Lab”) investigates the neural
underpinnings of human social behavior. We are pursuing questions such
as: How do we recognize emotion from facial expressions? How do we make
social judgments about other people? How do we look at people’s faces
(how do we move our eyes when looking at them)? How do we make decisions
that are influenced by emotion? How do we remember emotional events in
our lives? How do we make moral judgments about what is right and
wrong?</a></td>
<td><a href="http://emotion.caltech.edu/?page_id=12470">Lab</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>Allman, John</td>
<td><a href="http://www.cns.caltech.edu/people/faculty/allman.html">We
are using a variety of histological methods to visualize the complex
structure of these cells and will be performing computer simulations of
the cells activity in living brain. We are also pursuing several lines
of research investigating evolutionary pressures and scaling
relationships in mammalian brains. We have performed computer-assisted
imaging of living and fixed brains of modern species as well as
subfossil and fossil samples of extinct species.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=allman,+john+M+caltech&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Ames, Aaron</td>
<td><a href="http://ames.caltech.edu/research.html">Bipedal robotics,
hybrid systems, Zeno behavior, prosthetic devices. Theoretical
foundations with practical applications to human inspired bipedal
walking, Hybrid mechanical systems with a special emphasis on bipedal
robots;Hybrid stability theory and its relationship to Zeno
behavior;Hybrid geometric mechanics with a focus on hybrid geometric
reduction and geometric control; Hybrid topology, geometry and homology;
Novel Applications such as Prosthetics</a></td>
<td><a href="http://ames.caltech.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Anandkumar, Anima</td>
<td><a href="http://tensorlab.cms.caltech.edu/users/anima/">Tensors
(seminal work). Democratizing ML. Fairness. PhD students and
postdoctoral candidates with strong foundation in machine learning,
statistics, and algorithms.</a></td>
<td><a
href="http://tensorlab.cms.caltech.edu/users/anima/publications.html">Lab</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Andersen, Richard</td>
<td><a
href="http://www.cns.caltech.edu/people/faculty/andersen.html">One
project in the lab is to develop a cognitive-based neural prosthesis for
paralyzed patients;We have been examining the coordinate frame for
coordinated movements of the hand and eyes;We have been examining
decision making in parietal-frontal circuits;A 4.7 Tesla vertical magnet
for monkey imaging has recently been installed at Caltech. We are using
this magnet, combined with neural recordings, to examine the correlation
between neural activity and fMRI signals.</a></td>
<td><a href="http://www.vis.caltech.edu/papers">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Anderson, David</td>
<td><a href="http://davidandersonlab.caltech.edu/">Research in this
laboratory is aimed at understanding the neurobiology of emotion. We
seek to elucidate how fundamental properties common to emotional states,
such as arousal, are encoded in the circuitry and chemistry of the brain
and how these internal states combine with sensory stimuli to elicit
specific emotional behaviors, such as fear or aggression</a></td>
<td><a
href="http://davidandersonlab.caltech.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Barr, Alan</td>
<td><a href="http://www.cns.caltech.edu/people/faculty/barr.html">A
source of motivation and long term goal for the research is the creation
of tools for simulation and behavioral prediction of mechanical and
biophysical structures. The methods are intended to eventually be
applied to simulating the behavior of cellular organelles, but also to
self-assembling robotic structures as potentially needed for human
colonization of space; the same modeling technology can be used for both
applications.</a></td>
<td></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Bruck, Jehoshua</td>
<td><a href="http://www.paradise.caltech.edu/index.html">We attempt to
prove this conjecture by evaluating string replication systems from an
information theory perspective, as well as study tandem duplication and
interspersed duplication mechanisms.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=HgaNy9kAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Burdick, Joel W.</td>
<td><a href="http://robotics.caltech.edu/wiki/index.php/Robotics">Our
research group pursues both Robotics and BioEngineering related to
spinal cord injury</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Joel+W.+Burdick&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Camerer, Colin F.</td>
<td><a
href="http://www.cns.caltech.edu/people/faculty/camerer.html">Neuroeconomics.
Psychology and economics, decision making, business administration, game
theory.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=8udO65kAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Dickinson, Michael</td>
<td><a href="https://dickinsonlab.caltech.edu/">studies the neural and
biomechanical basis of behavior in the fruit fly, Drosophila. We strive
to build an integrated model of behavior that incorporates an
understanding of morphology, neurobiology, muscle physiology, physics,
and ecology</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=kc3snaQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Elowitz, Michael</td>
<td><a href="http://www.elowitz.caltech.edu/">The Elowitz Lab is
interested in how genetic circuits, composed of interacting genes and
proteins, enable individual cells to make decisions, oscillate, and
communicate with one another</a></td>
<td><a
href="http://www.elowitz.caltech.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Gradinaru, Viviana</td>
<td><a href="http://glab.caltech.edu/">The Gradinaru Lab studies the
mechanism of action for deep brain stimulation (DBS), a therapeutical
option for motor and mood disorders such as Parkinson’s and depression.
Our previous work highlighted the importance of selectively controlling
axons and not local cell bodies in modulating behavior, a principle that
might play a generalized role across many effective deep brain
stimulation paradigms. We are now particularly interested in the
long-term effects of DBS on neuronal health, function, and ultimately
behavior.</a></td>
<td><a href="http://glab.caltech.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Hong, Betty (E.J.)</td>
<td><a href="http://www.ejhonglab.org/team/">Our goal is to understand
how molecular diversity at synapses gives rise to useful variation in
synaptic physiology, and how this may reflect the specialization of
synapses to perform specific useful computations in their respective
circuits.</a></td>
<td><a href="http://www.ejhonglab.org/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Konishi, Masakazu</td>
<td><a
href="http://www.cns.caltech.edu/people/faculty/konishi.html">Owls.
Preditors. The work over the past twenty years has led to a reasonably
good understanding of the algorithm for the computation of sound
locations in 2 dimensions</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2016&amp;q=Konishi,+Masakazu++caltech&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Lester, Henry A.</td>
<td><a href="http://henrylesterresearchgroup.caltech.edu/">The Lester
lab uses techniques at the intersection of biophysics, single-molecule
imaging, chemistry, mouse genetics, and neuroscience to understand the
biophysical basis of ligand-gated ion channels including the nicotinic
acetylcholine receptor.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=8KbzXvoAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Lois, Carlos</td>
<td><a href="http://www.cns.caltech.edu/people/faculty/lois.html">Our
laboratory is interested in the assembly of brain circuits and the
mechanisms by which the activity of neurons in these circuits give rise
to behavior. We focus on the process of neuron addition into the
vertebrate brain, and seek to understand how new neurons integrate into
the circuits of the adult brain, and their role in information
processing and storage</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=BO4a37QAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Mead, Carver (emeritus)</td>
<td><a href="http://www.carvermead.caltech.edu/">Very diverse history of
research spanning gravitation to analog silicon retinas…</a></td>
<td><a
href="http://www.carvermead.caltech.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Meister, Markus</td>
<td><a href="http://www.cns.caltech.edu/people/faculty/meister.html">My
goal is to understand the function of neuronal circuits. By “circuit” I
mean a brain structure with many neurons that has some anatomical and
functional identity, and exchanges signals with other brain
circuits</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=QKhjs2YAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Mobbs, Dean</td>
<td><a href="https://www.deanmobbslab.com/">The Mobbs Lab is inspired by
insights from the fields of behavioral ecology, social, evolutionary and
clinical psychology. Our lab’s main endeavor is to understand the neural
and behavioral dynamics of human social and emotional experiences and
consequently build new theoretical models that merge multiple fields. We
employ brain imaging (e.g. fMRI) and novel behavioral techniques to
examine the neurobiological systems that coordinate fear and anxiety in
humans. My lab also investigates the proximate and ultimate value of
social behavior.</a></td>
<td><a href="https://www.deanmobbslab.com/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Murray, Richard</td>
<td><a href="http://www.cds.caltech.edu/~murray/wiki/Main_Page">Current
projects include integration of control, communications, and computer
science in multi-agent systems, information dynamics in networked
feedback systems, analysis of insect flight control systems, and
synthetic biology using genetically-encoded finite state
machines.</a></td>
<td><a
href="http://www.cds.caltech.edu/~murray/wiki/index.php?title=Papers">Lab</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>O’Doherty, John</td>
<td><a href="http://olab.caltech.edu/">The ability to make decisions
requires neural machinery that has been honed through evolution to
enable animals to learn about the structure of their environment and
uncover causal links between their own behavior and the probability of
obtaining rewards. A deeper understanding of how the brain does this
will not only inspire new theories of decision making, it will also
contribute to the development of genuine “artificial intelligence”, and
it will enable us to understand why some humans are better than others
at making decisions, why humans with certain psychiatric disorders or
brain lesions are less capable of doing so, and why under some
circumstances humans systematically fail to make “rational” decisions.
The goal of our research is to unravel the neural computations
underlying this process in the human brain.</a></td>
<td><a href="http://olab.caltech.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Oka, Yuki</td>
<td><a href="http://www.okalab.caltech.edu/">Our goal is to understand
where and how appetites are encoded in the brain… With these
thirst-controlling neurons in hand, we are now exploring the downstream
and upstream neural circuits to decipher how motivational signals are
translated into behavioral outputs.</a></td>
<td><a
href="http://www.okalab.caltech.edu/Publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Perona, Pietro</td>
<td><a href="http://www.vision.caltech.edu/">We are interested in the
computational foundations of vision. This knowledge helps us design
machine vision systems with applications to science, consumer products,
entertainment, manufacturing and defense</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=j29kMCwAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Prober, David A.</td>
<td><a href="https://www.proberlab.caltech.edu/">We are using zebrafish
as a new model to discover and understand genetic and neuronal circuits
that regulate sleep.</a></td>
<td><a
href="https://www.proberlab.caltech.edu/Publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Quartz, Steven</td>
<td><a
href="http://www.cns.caltech.edu/people/faculty/quartz.html">Impact of
neuroscience advances for many of the traditional problems of mind,
ranging from a neurally plausible theory of mental representation, the
origin of knowledge, to the formal learning properties of neurally
constrained developing systems.</a></td>
<td></td>
<td>=</td>
</tr>
<tr class="even">
<td>Rangel, Antonio</td>
<td><a href="http://www.rnl.caltech.edu/">We study the neural basis of
economic decision-making using tools from cognitive neuroscience and
experimental economics. The tools that we use include functional
magnetic resonance imaging, transcranial magnetic stimulation, and eye
tracking. The research team includes neuroscientists, psychologists, and
economists.</a></td>
<td><a
href="http://www.rnl.caltech.edu/publications/index.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Shimojo, Shinsuke</td>
<td><a href="https://neuro.caltech.edu/">We would like to understand how
the brain adapts real-world constraints to resolve perceptual ambiguity
and to reach ecologically valid, unique solutions</a></td>
<td><a href="http://neuro.caltech.edu/page/publications/">Lab</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Siapas, Thanos</td>
<td><a href="http://www.cns.caltech.edu/people/faculty/siapas.html">Our
research focuses on the study of information processing across networks
of neurons, with emphasis on the neuronal mechanisms that underlie
learning and memory formation.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=xDF_m1EAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Sternberg, Paul</td>
<td><a href="http://wormlab.caltech.edu/">We measure gene expression by
RNA-seq and transgenic reporters; we measure behavior using automated
systems and optogenetics. We focus on intercellular signals and their
transduction by the responding cell into transcriptional outputs. Many
of the genes we have identified are the nematode counterparts of human
genes, and we expect that some of our findings will apply to human genes
as well.</a></td>
<td><a href="http://wormlab.caltech.edu/Publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Tsao, Doris</td>
<td><a href="https://www.tsaolab.caltech.edu/">Segmentation (Our lab is
pursuing the neural mechanisms underlying segmentation through a variety
of approaches including mathematical modeling and development of new
experimental models for study of visual segmentation), Recognition,
Consciousness, Space, Tools such as ultrasonic neuromodulation,
ultrasonic chemogenetics, and high-channel count
electrophysiology.</a></td>
<td><a href="https://www.tsaolab.caltech.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Winfree, Erik</td>
<td><a href="http://www.dna.caltech.edu/~winfree/">Biomolecular
computation, DNA based computation, algorithmic self-assembly, in vitro
biochemical circuits, noise and fault-tolerance, DNA and RNA folding,
evolution.</a> <a href="http://molecular-programming.org/">or</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=5GQF2FwAAAAJ&amp;pagesize=100&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Yue, Yisong</td>
<td><a href="http://www.yisongyue.com/">Yisong Yue’s research interests
lie primarily in the theory and application of statistical machine
learning. He is more generally interested in artificial intelligence.
Currently, he is particularly interested in learning with humans in the
loop, interactive learning systems, and spatiotemporal
reasoning</a></td>
<td><a href="http://www.yisongyue.com/">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="stanford-university">Stanford University</h5>
<ul>
<li><a href="https://neuroscience.stanford.edu/mbct/home">MBCT</a></li>
<li><a
href="https://med.stanford.edu/neurogradprogram/prospective_students.html">Neurosciences
Ph.d., GREs no longer used.</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 4%" />
<col style="width: 75%" />
<col style="width: 16%" />
<col style="width: 3%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Airan, Raag</td>
<td><a href="http://airan-lab.stanford.edu/">precisely deliver drugs to
the brain, to mediate more precise control of neural activity, in
addition to other therapeutic effects</a></td>
<td><a href="http://airan-lab.stanford.edu/publications/">Lab</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Baccus, Stephen A.</td>
<td><a href="https://baccuslab.sites.stanford.edu/">(Brain-Machine
Interfaces,Neuro-circuit interventional research consortium for
understanding the brain and improving treatment) We study how the
circuitry of the retina translates the visual scene into electrical
impulses in the optic nerve…experimental data is used to create
mathematical models to predict and explain the output of the retinal
circuit.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2017&amp;q=baccus+stephen+a&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Chichilnisky, E.J.</td>
<td><a
href="http://med.stanford.edu/neurosurgery/research/chichilnisky.html">The
goal of our research is to understand how the neural circuitry of the
retina encodes visual information, and to use this knowledge in the
development of artificial retinas for treating incurable
blindness</a></td>
<td><a
href="http://med.stanford.edu/neurosurgery/research/chichilnisky/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Clandinin, Thomas</td>
<td><a href="https://flyvisionlab.weebly.com/">My lab seeks to
understand how the brain computes at the cellular and molecular
level</a></td>
<td><a
href="https://flyvisionlab.weebly.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Druckmann, Shaul</td>
<td><a href="https://www.druckmannlab.com/">We seek to relate circuit
dynamics to computation by understanding the unique computational style
used by the brain</a></td>
<td><a
href="https://www.druckmannlab.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Etkin, Amit</td>
<td><a href="http://www.etkinlab.stanford.edu/research-1">we collaborate
with neuroscientists, engineers, psychologists, physicians and others to
establish a new intellectual, scientific and clinical paradigm for
understanding and manipulating human brain circuits in healthy
individuals and for treating psychiatric disease</a></td>
<td><a href="http://www.etkinlab.stanford.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Ganguli, Surya</td>
<td><a href="http://ganguli-gang.stanford.edu/index.html">we exploit and
extend tools and ideas from a diverse array of disciplines, including
statistical mechanics, dynamical systems theory, machine learning,
information theory, control theory, and high-dimensional statistics, as
well as collaborate with experimental neuroscience laboratories
collecting physiological data from a range of model organisms, from
flies to humans</a></td>
<td><a href="http://ganguli-gang.stanford.edu/pubs.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Gardner, Justin</td>
<td><a href="http://gru.stanford.edu/doku.php/shared/research">Using
knowledge of the visual system and decision theoretical models of how
behavior is linked to cortical activity, we seek to understand the
cortical computations that construct human vision</a></td>
<td><a
href="http://gru.stanford.edu/doku.php/shared/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Ghajar, Jashmid MD, FACS</td>
<td><a href="https://www.braintrauma.org/research">improve the diagnosis
and treatment of TBI. To do this, we lead the way in cutting-edge
clinical research spanning the spectrum from concussion to coma</a></td>
<td><a
href="https://www.braintrauma.org/pages/publications">Lab</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Giocomo, Lisa</td>
<td><a href="https://giocomolab.weebly.com/">Giocomo Lab integrates
electrophysiology, behavior, imaging, gene manipulations, optogenetics
and computational modeling to study how single-cell biophysics and
network dynamics interact to mediate spatial memory and
navigation</a></td>
<td><a
href="https://giocomolab.weebly.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Grill-Spector, Kalanit</td>
<td><a href="http://vpnl.stanford.edu/">Our research utilizes functional
imaging (fMRI), computational techniques, and behavioral methods to
investigate visual recognition and other high-level visual
processes</a></td>
<td><a href="http://vpnl.stanford.edu/publications.htm">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Gross, James</td>
<td><a href="https://spl.stanford.edu/projects-0">(Psychology) The goal
of this project is to create a computational model that will help us
understand the unfolding of emotions at the group level (collective
emotion) and to correlate this model with real life events</a></td>
<td><a
href="https://spl.stanford.edu/selected-publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Holmes, Susan</td>
<td><a href="http://statweb.stanford.edu/~susan/LabIndex.html">We use
computational statistics, multitable and nonparametric methods such as
the bootstrap and MCMC computation of complex posterior distributions to
draw inferences about complex biological phenomena</a></td>
<td><a
href="http://statweb.stanford.edu/~susan/papers.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Huguenard, John</td>
<td><a href="https://huguenard-lab.stanford.edu/wp1/">Our approach is an
analysis of the discrete components that make up thalamic and cortical
circuits, and reconstitution of components into both in vitro biological
and in silico computational networks</a></td>
<td><a
href="https://huguenard-lab.stanford.edu/wp1/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Knutson, Brian</td>
<td><a
href="http://stanford.edu/group/spanlab/Projects/projects.html">(NeuroChoice),
Neural circuit dynamics of drug action</a></td>
<td><a
href="http://stanford.edu/group/spanlab/Publications/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Lee, Jin Hyung</td>
<td><a href="https://neuroscience.stanford.edu/people/jin-hyung-lee">The
Lee Lab uses interdisciplinary approaches from biology and engineering
to analyze, debug, and manipulate systems-level brain circuits</a></td>
<td><a
href="https://profiles.stanford.edu/jin-hyung-lee?tab=publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Luo, Liqun</td>
<td><a
href="http://web.stanford.edu/group/luolab/Research.shtml">Organization
and function of neural circuits in the mouse and Developing genetic
tools to probe neural circuit assembly and organization</a></td>
<td><a
href="http://web.stanford.edu/group/luolab/Publications.shtml">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>McClelland, Jay</td>
<td><a href="https://stanford.edu/~jlmcc/">…the primary current focus is
on mathematical cognition from Parallel and Distributed Processing
site</a></td>
<td><a href="https://stanford.edu/~jlmcc/papers/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Newsome, William</td>
<td><a href="http://monkeybiz.stanford.edu/index.html">Computer
modelling techniques are then used to develop more refined hypotheses
concerning the relationship of brain to behavior that are both rigorous
and testable. This combination of behavioral, electrophysiological and
computational techniques provides a realistic basis for
neurophysiological investigation of cognitive functions such as
perception, memory and motor planning</a></td>
<td><a href="http://monkeybiz.stanford.edu/pubs.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Norcia, Anthony</td>
<td><a href="https://svndl.stanford.edu/research">Brain mechanisms
underlying face and text processing…methods for exploiting the temporal
resolution of the EEG to study the dynamics of brain
processing…</a></td>
<td><a
href="https://svndl.stanford.edu/research/publications">Lab</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>Poldrack, Russell</td>
<td><a href="https://poldracklab.stanford.edu/">Our lab uses the tools
of cognitive neuroscience to understand how decision making, executive
control, and learning and memory are implemented in the human brain. We
also develop neuroinformatics tools and resources to help researchers
make better sense of data.</a></td>
<td><a
href="https://scholar.google.com/citations?user=RbmLvDIAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Raymond, Jennifer L.</td>
<td><a href="http://raymondlab.weebly.com/">The goal of our research is
to understand the algorithms the brain uses to learn</a></td>
<td><a
href="http://raymondlab.weebly.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Schnitzer, Mark J.</td>
<td><a href="http://pyramidal.stanford.edu/">Development of
high-throughput, massively parallel imaging techniques for studying
brain function in large numbers of Drosophila concurrently</a></td>
<td><a
href="http://pyramidal.stanford.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Shenoy, Krishna</td>
<td><a href="https://shenoy.people.stanford.edu/overview">(BMIs),
conducts neuroscience, neuroengineering and translational research to
better understand how the brain controls movement, and to design medical
systems to assist people with paralysis</a></td>
<td><a
href="https://shenoy.people.stanford.edu/journal-papers">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Soltesz, Ivan</td>
<td><a href="http://med.stanford.edu/ivansolteszlab/front-page.html">We
are interested in how brain cells communicate with each other in the
normal brain, and how the communication changes in epilepsy … highly
realistic large-scale supercomputational modeling approaches</a></td>
<td><a
href="http://med.stanford.edu/ivansolteszlab/front-page.html#publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Wagner, Anthony D</td>
<td><a href="https://memorylab.stanford.edu/">Current research
directions – which combine behavior, brain imaging, virtual reality, and
computational approaches</a></td>
<td><a
href="https://memorylab.stanford.edu/publications/2010-current">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Williams, Leanne</td>
<td><a href="http://williamspanlab.com/">…Biomedical data sciences and
informatics are also essential, not only because of the amount of data
we generate, but also because we rely on increasingly sophisticated
computational models to understand such complex phenomena as the brain
and depression</a></td>
<td><a href="http://williamspanlab.com/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Yamins, Daniel</td>
<td><a href="http://neuroailab.stanford.edu/">Our research lies at
intersection of neuroscience, artificial intelligence, psychology and
large-scale data analysis. We seek to “reverse engineer” the algorithms
of the brain, both to learn about how our minds work and to build more
effective artificial intelligence systems</a></td>
<td><a
href="http://neuroailab.stanford.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-california-berkeley">University of California,
Berkeley</h5>
<ul>
<li><a href="https://redwood.berkeley.edu/people/">Theoretical
Neuroscience</a></li>
<li><a
href="http://neuroscience.berkeley.edu/ph-d-program/">Neuroscience
Ph.D., GRE: Institution: 4833, Department: 0213</a></li>
<li><a href="https://vision.berkeley.edu/admissions">Vision Science
Ph.D., Apply, GRE: Institution: 4833, Department: 0611</a></li>
<li><a
href="https://eecs.berkeley.edu/academics/graduate/research-programs/admissions">Electrical
Engineering and Computer Sciences, Ph.D., GRE: Institution(4833),
Department(Not required)</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 3%" />
<col style="width: 74%" />
<col style="width: 18%" />
<col style="width: 3%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Banks, Martin</td>
<td><a href="http://bankslab.berkeley.edu/">Visual space perception and
sensory combination</a></td>
<td><a
href="http://bankslab.berkeley.edu/publications/index.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Bouchard, Kristofer</td>
<td><a
href="https://redwood.berkeley.edu/people/kristofer-bouchard/">How
distributed neural circuits give rise to coordinated behaviors and
perception</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=mDvGOLkAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Carmena, Jose</td>
<td><a href="https://neuroscience.berkeley.edu/faculty/">Neural basis of
motor skill learning. Application to neural prostheses and development
of neural dust technology</a></td>
<td><a
href="https://scholar.google.com/citations?user=qyF6UhQAAAAJ&amp;hl=en&amp;oi=ao">Google</a></td>
<td></td>
</tr>
<tr class="even">
<td>Collins, Anne</td>
<td><a href="https://www.ocf.berkeley.edu/~acollins/">Computational
modeling of human learning, decision-making, and executive functions….
Computational modeling lets us precisely and quantitatively define
theories, make explicit predictions, and investigate how well different
information representations work in different environments.
Computational modeling may also provide a link to the mechanistic
implementation of processes.</a></td>
<td><a
href="https://www.ocf.berkeley.edu/~acollins/pages/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Cooper, Emily</td>
<td><a href="http://www.emilyacooper.org/research.html">Computational
modeling of visual perception…We study the statistics of natural images
and examine their relevance for visual coding and perception</a></td>
<td><a href="http://www.emilyacooper.org/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Dan, Yang</td>
<td><a href="http://mcb.berkeley.edu/faculty/NEU/dany">Neural circuits
controlling sleep; mechanisms of executive control…</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=8dea7mQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>DeWeese, Mike</td>
<td><a
href="https://redwood.berkeley.edu/people/mike-deweese/">experimental
and theoretical neuroscience</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=DZ9-LmkAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Feinberg, David</td>
<td>MRI technology development, mapping columnar and visual circuitry,
modeling neurovascular coupling.</td>
<td></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Gallant, Jack</td>
<td><a href="http://gallantlab.org/">Identifying cortical maps to
discover how the brain represents information about the world and its
own mental states… To address this problem, our laboratory makes heavy
use of an inductive scientific approach called system identification.
System identification is a systematic approach for discovering the
computational principles of an unknown system such as the
brain.</a></td>
<td><a
href="https://scholar.google.com/citations?user=nSZG-vcAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Li, Lexin</td>
<td><a href="http://lexinli.biostat.berkeley.edu/">Neuroimaging data
analysis: brain connectivity and network analysis, imaging causal
inference, imaging genetics, longitudinal imaging analysis,
multi-modality analysis, tensor analysis; Statistical genetics,
computational biology; Dimension reduction, variable selection, high
dimensional regressions; Statistical machine learning, data mining,
computational statistics</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=JTwOVhEAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Maharbiz, Michel</td>
<td><a href="maharbizgroup.wordpress.com">Building micro- and nano-
scale machine interfaces to cells and organisms, including development
of neural dust technology.</a></td>
<td><a
href="https://maharbizgroup.wordpress.com/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Olshausen, Bruno</td>
<td><a
href="https://redwood.berkeley.edu/people/bruno-olshausen/">Developing
new theoretical frameworks and models of vision</a></td>
<td><a href="http://www.rctn.org/bruno/papers/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Sommer, Friedrich</td>
<td><a
href="http://www.rctn.org/wiki/Fritz_Sommer#Research_Interests">Theoretical
principles of learning and perception.My lab investigates the
theoretical principles of learning and perception and their biological
bases in the circuit dynamics of the brain. To study these issues we
develop computational models of the brain, as well as advanced
techniques of data analysis</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=lA-oLkgAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Theunissen, Frédéric</td>
<td><a href="http://theunissen.berkeley.edu/">The overarching goal of
our laboratory is to understand how complex natural sounds such as human
speech, music and animal vocalizations are detected and recognized by
the brain…We use computational methods in neuroscience to generate
theories of audition, to study sounds and to analyze our neural
data</a></td>
<td><a
href="http://theunissen.berkeley.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-california-davis">University of California,
Davis</h5>
<ul>
<li><a
href="https://neuroscience.ucdavis.edu/computational">Computational
Neuroscience</a></li>
<li><a href="https://grad.neuroscience.ucdavis.edu/apply">Neuroscience,
GRE: Institution(4834), Dept(None specified), GRE Subject test
encouraged (…)</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 6%" />
<col style="width: 62%" />
<col style="width: 26%" />
<col style="width: 4%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Antzoulatos, Evangelos</td>
<td><a
href="https://neuroscience.sf.ucdavis.edu/people/evangelos-antzoulatos">large-scale
neural networks that implement cognitive functions</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=cMIRlNwAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>DeBello, William</td>
<td><a
href="https://neuroscience.ucdavis.edu/people/william-debello">complete
wiring diagram of local circuits in the barn owl auditory localization
pathway</a></td>
<td></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Ditterich, Jochen</td>
<td><a
href="https://neuroscience.ucdavis.edu/people/jochen-ditterich">bridging
this gap by utilizing both behavioral and neurophysiological methods and
by using mathematical models for exploring potential neural
mechanisms</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Ditterich,+Jochen&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Goldman, Mark</td>
<td><a href="https://neuroscience.ucdavis.edu/people/mark-goldman">wide
variety of systems and seek to address questions ranging from cellular
and network dynamics to sensory coding to memory and plasticity</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Goldman,+Mark+uc+davis&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Hanks, Tim</td>
<td><a href="https://neuroscience.ucdavis.edu/people/tim-hanks">We use
the knowledge gained from these experiments to develop and constrain
circuit-level descriptions of the computations that underlie decision
making.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=a2nnsrAAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Nord, Alex</td>
<td><a href="https://neuroscience.ucdavis.edu/people/alex-nord">(Brain
Disease, Disorders), To that end, I perform both experimental work and
computational analysis to reveal function of primary DNA sequence,
epigenomic modifications, and chromatin structure</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=_FbUThYAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Usrey, W. Martin (Chair)</td>
<td><a
href="https://neuroscience.ucdavis.edu/people/w-martin-usrey">Structure,
Function and Development of Neural Circuits for Vision</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Usrey+uc+davis&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-california-irvine">University of California,
Irvine</h5>
<ul>
<li><a
href="https://www.cogsci.uci.edu/graduate/program.php#apply">Admission
to UCI Cognitive Sciences Ph.D. program. GRE general test required to:
4859</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table style="width:100%;">
<colgroup>
<col style="width: 1%" />
<col style="width: 4%" />
<col style="width: 82%" />
<col style="width: 8%" />
<col style="width: 1%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Department</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Bornstein, Aaron M.</td>
<td>Cognitive Sciences</td>
<td><a href="http://aaron.bornstein.org">The lab’s ongoing research
investigates the influence of memories on behavior. Specific projects in
progress examine the roles of episodic and working memory in decisions
for reward, perceptual inference, drug choice and addiction, and
intertemporal choice, using computational model-driven analysis of
behavior and brain activity (via fMRI, but with plans for EEG and other
methods).</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=ltlh6LQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Brewer, Alyssa</td>
<td>Cognitive Sciences</td>
<td><a href="http://www.socsci.uci.edu/~aabrewer">Our primary areas of
research are fundamental visual system organization, visual adaptation
and plasticity, and neurodegeneration. The tools we use for our
investigations include magnetic resonance imaging (MRI), functional MRI
(fMRI), diffusion tensor imaging (DTI), psychophysics, genetic assays,
psychopharmacology, mathematical modeling, and surveys.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=00yn31kAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Chernyak, Nadia</td>
<td>Cognitive Sciences</td>
<td><a href="https://www.dosclab.com/">Our specific research topics
include the development of fairness and prosocial behavior, how we learn
from choice and agency, the development of prospection (future-oriented
thinking), and how our social contexts and cognitive competencies shape
our emerging world views. We typically conduct behavioral studies with
young children and adults.</a></td>
<td><a href="https://www.dosclab.com/publications">Lab</a></td>
<td>-</td>
</tr>
<tr class="even">
<td>Chubb, Charlie</td>
<td>Cognitive Sciences</td>
<td><a href="https://cwlab.ss.uci.edu/research-areas/">Research
analyzing camouflage: strategies in nature, how to make it and how to
break it; A technique to compare the effects of stimulus salience across
sensory properties and tasks; Research exploring how and why the time to
initiate a response increases with the number of possible choices;
Research that explores two functions relating movement speed and
accuracy, their generality, and the mechanisms that underlie them;
Visual and auditory experiments aimed at figuring out what sorts of
variations in physical energy are spontaneously discriminated by human
observers.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=OlFlu1oAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>D’Zmura, Michael</td>
<td>Cognitive Sciences</td>
<td><a href="http://cnslab.ss.uci.edu/">The Cognitive NeuroSystems Lab
at UC Irvine conducts research on vision, hearing and EEG studies of
speech and attention; past work includes studies of search and
navigation in 4D virtual environments.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=eci4MtQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Dosher, Barbara</td>
<td>Cognitive Sciences</td>
<td><a href="https://www.socsci.uci.edu/maplab/index.html">Memory in
humans, with emphasis on forgetting and retrieval in explicit and
implicit memory; Attention processes and their consequences for
perceptual efficiency in information processing; How training in
perceptual tasks improves visual performance and its use in cognitive
rehabilitation</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2015&amp;q=%22BA+Dosher%22&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Grossman, Emily</td>
<td>Cognitive Sciences</td>
<td><a href="https://vpnl.ss.uci.edu/">The VPNL uses a combination of
functional magnetic resonance imaging (fMRI), transcranial magnetic
stimulation (TMS), concurrent TMS and electroencephalography (EEG), and
psychophysical techniques to isolate the neural correlates of visual
perception.</a></td>
<td><a href="https://vpnl.ss.uci.edu/publications/pubs/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Hickok, Gregory</td>
<td>Cognitive Sciences</td>
<td><a href="https://sites.uci.edu/alns/">Our interests include
psycholinguistics, neuropsychology (aphasia, lesion, Wada, developmental
disorders), MEG, and fMRI. Recent work has focused on developing an
integrative neurocomputational model of speech production, drawing on
constructs from (psycho) linguistics, motor control, neuropsychology,
and cognitive neuroscience.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=wdxCzXoAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Hoffman, Donald D.</td>
<td>Cognitive Sciences, Logic and Philosophy of Science</td>
<td><a href="http://www.cogsci.uci.edu/~ddhoff/">machine and human
vision, visual recognition, artificial intelligence, virtual reality,
consciousness and cognition, shape from motion</a></td>
<td><a href="http://cogsci.uci.edu/~ddhoff/publications.pdf">CV</a></td>
<td>+?</td>
</tr>
<tr class="even">
<td>Krichmar, Jeffrey</td>
<td>Cognitive Sciences</td>
<td><a href="https://www.socsci.uci.edu/~jkrichma/CARL/">In the
Cognitive Anteater Robotics Laboratory (CARL) at the University of
California, Irvine, we are designing robotic systems whose behaviors are
guided by large-scale simulations of the mammalian brain. Because these
simulated nervous systems are embodied on a robot, they provide a
powerful tool for studying brain function. Moreover, because these
cognitive robots are embedded in the real-world, the system’s behavior
and function can be tested similarly to that of an animal under
experimental conditions.</a></td>
<td><a
href="https://www.socsci.uci.edu/~jkrichma/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Lee, Michael</td>
<td>Cognitive Sciences</td>
<td><a href="https://faculty.sites.uci.edu/mdlee/">My research involves
the development, evaluation, and application of models of cognition
including representation, memory, learning, and decision making, with a
special focus on individual differences and collective cognition. Much
of my research uses naturally occurring behavioral data, and tries to
pursue a solution-oriented approach to empirical science, in which the
research questions are generated from real-world problems. My methods
involve probabilistic generative modeling, and Bayesian methods of
computational analysis.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=gbY_w1IAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Liljeholm, Mimi</td>
<td>Cognitive Sciences</td>
<td><a href="https://faculty.sites.uci.edu/LDNLab/">Our approach is
multidisciplinary, drawing on a wide range of methods from psychology,
neuroscience, economics, statistics and machine learning. In particular,
we combine innovative experimental designs with computational cognitive
modeling and functional MRI, to develop formal accounts of neural and
psychological processes.</a></td>
<td><a
href="https://faculty.sites.uci.edu/LDNLab/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Mednick, Sara</td>
<td>Cognitive Sciences</td>
<td><a href="http://sleepandcognitionlab.org/">We are specifically
interested in translational research questions that lead to improving
the lives of people with cognitive impairments. To accomplish this work,
we utilize electroencephalography (EEG) and functional magnetic
resonance imaging (fMRI) to measure brain activity during sleep and
wake. We also use pharmacology and brain stimulation during sleep to
improve waking performance. In addition, we use signal processing and
computational modeling to reveal patterns in the data not available to
the naked eye.</a></td>
<td><a href="http://sleepandcognitionlab.org/#publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Narens, Louis</td>
<td>Cognitive Sciences, Logic and the Philosophy of Science</td>
<td><a href="http://www.imbs.uci.edu/~lnarens/narens.html">measurement,
logic, metacognition</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=4wB25lAAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Neftci, Emre</td>
<td>Cognitive Sciences</td>
<td><a href="http://www.nmi-lab.org/research-topics/">Bridge ML and
neuroscience (Lifelong learning machines); Extracting information from
unlabeled data; scalable neuromorphic learning machines; On-line,
spike-based deep learning and Stochastic Spiking Neural
Networks</a></td>
<td><a href="http://www.nmi-lab.org/pubs_by_name/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Pearl, Lisa</td>
<td>Language Science, Cognitive Sciences</td>
<td><a href="https://www.socsci.uci.edu/~lpearl/CoLaLab/index.html">The
main technique of investigation we use is empirically-grounded
computational modeling, drawing on constraints from realistic examples
of human language and what we know about how humans process language
information. Complementary techniques include psycholinguistic
methodologies to assess knowledge in children and adults, and human
computation methodologies for gathering realistic samples of language
use and interpretation.</a></td>
<td><a
href="https://www.socsci.uci.edu/~lpearl/CoLaLab/publications.html">Lab
– winner of most organized publications</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Peters, Megan</td>
<td>Cognitive Sciences</td>
<td><a href="https://neurocomp.engr.ucr.edu/">we use neuroimaging and
computational modeling to study how brains represent and use uncertain
information and uncertainty itself</a></td>
<td><a
href="https://neurocomp.engr.ucr.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Pizlo, Zygmunt</td>
<td>Mathematical Psychology, Cognitive Sciences</td>
<td><a href="http://bigbird.psych.purdue.edu/index.html">Our group is
studying mental mechanisms (algorithms) involved in cognitive functions.
More precisely, we study those cognitive functions that are
computationally difficult. A cognitive function is computationally
difficult if there is currently no algorithm that can perform this
function equally well as the human mind does. This definition includes a
lot: perception of shape, motion, color, depth, language understanding,
speech recognition, reading, motor control, visuomotor coordination,
learning, thinking, problem solving. By studying computationally
difficult cognitive functions, we hope to contribute to both:
psychology, by understanding cognitive mechanisms, and artificial
intelligence, by formulating smart algorithms.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=63Oe0c8AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Richards, Virginia</td>
<td>Cognitive Sciences</td>
<td><a href="http://hearlab.ss.uci.edu/">My research interests include
human perception, cognition, and mathematical psychology as applied to
the perception of complex sounds. Using psychophysical techniques, we
study the rules governing low-level auditory processing and the possible
mechanisms by which multiple sound sources are segregated. Recent work
has been aimed at the development and testing of multiple-channel models
of masking that depend on both energetic and temporal aspects of complex
sounds. At present, the goal is to extend this work into the realm of
perceptual organization, including “auditory streaming” and the
detection of a target pattern of sounds against a background of
distracter sounds. Both psychophysical experiments and the allied
processing models depend on digital signal processing techniques in
which acoustical features are independently varied, allowing the
determination of the relative contribution of the different cues as well
as the underlying combination rules.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2015&amp;q=%22VM+Richards%22&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Rouder, Jeffrey</td>
<td>Mathematical Psychology (chair), Cognitive Sciences</td>
<td><a href="https://sites.uci.edu/specl/">We develop new statistical
methods to address long-standing questions in cognitive psychology. Our
substantive interests are in attention, cognitive control, perception,
intelligence, and learning; our methodological interests are in Bayesian
hierarchical statistical and process models.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=W5inQnkAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Saberi, Kourosh</td>
<td>Cognitive Sciences</td>
<td><a href="http://www.conscioussystemslab.com/">We draw from a number
of scientific disciplines that include cognitive sciences, neuroscience,
computer science, physics, and philosophy. This interdisciplinary
approach allows us to capture converging expertise in exploring
fundamental questions in the study of consciousness and the nature of
reality. We use empirical, theoretical, and computational techniques in
our investigations.</a></td>
<td><a
href="https://scholar.google.com/scholar?hl=en&amp;as_sdt=0%2C5&amp;as_ylo=2015&amp;q=Kourosh+Saberi&amp;btnG=">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Sarnecka, Barbara</td>
<td>Cognitive Sciences</td>
<td><a
href="https://sites.google.com/uci.edu/sarneckalab/people/barbara-w-sarnecka?authuser=0">Much
of my work over the past 20 years has been about how young children
acquire number concepts. But in recent years, I’ve branched out to work
on social cognitive development, the development of judgment and
decision making, adult moral psychology, and most recently, scientific
writing. (Developing and testing ways to help PhD students and other
scientists increase their productivity and write more clearly.)</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=sH0pY84AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+?</td>
</tr>
<tr class="odd">
<td>Srinivasan, Ramesh</td>
<td>Cognitive Sciences</td>
<td><a href="http://hnl.ss.uci.edu/">Our working hypothesis is that
cognition involves the interaction between local processes in specific
regions of the cortex and global brain networks. We carry out
experimental studies using EEG, MEG, TMS, and fMRI on visual and
auditory perception and attention, and we use volume conduction and
dynamic models to elucidate the neural mechanisms underlying our
findings.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=opgkEvkAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Steyvers, Mark</td>
<td>Cognitive Sciences</td>
<td><a href="https://steyvers.socsci.uci.edu/">Learning &amp; Memory;
Cognitive Skill Acquisition; Metacognition; Hybrid human-machine
algorithm systems; Wisdom of crowds; Bayesian computational modeling;
Machine learning; Joint models for behavior and neuroimaging
data</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=szUb_isAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Vandekerckhove, Joachim</td>
<td>Cognitive Sciences</td>
<td><a href="http://www.cidlab.com/research-topics.php">Current projects
include quantitative modeling of cognition and individual differences,
Bayesian statistics, and implementation and deployment of useful
computational algorithms. I am also interested in quantitative
approaches of detecting and undoing some of the societal challenges
currently faced by psychological science (such as publication bias,
fraud detection, and closed access to scientific literature) and in new
design and analysis methods.</a></td>
<td><a href="http://www.cidlab.com/publications.php">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Wright, Charles E. (Ted)</td>
<td>Cognitive Sciences</td>
<td><a href="https://cwlab.ss.uci.edu/research-areas/">See Chubb,
Charlie</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=EvHWeysAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-california-los-angeles">University of California,
Los Angeles</h5>
<ul>
<li><a href="http://neuroscience.ucla.edu/admissions">Admission to UCLA
Interdepartmental Ph.D. program in Neuroscience. GRE general test
required to: R4837 Field code: 0213</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 5%" />
<col style="width: 80%" />
<col style="width: 9%" />
<col style="width: 1%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Department</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Adhikari, Avishek</td>
<td>Psychology, Brain Reasearch Institute</td>
<td><a href="https://adhikarilab.psych.ucla.edu/">We have discovered
neural circuits in mice that control specific symptoms of high anxiety
states, such as avoidance of risk and increases in heart rate. We also
showed how the flow of neural activity in brain circuits control
anxiety.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed/?term=avishek+adhikari">PubMed</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Basso, Michele A.</td>
<td>Semel Institute for Neuroscience and Human Behavior, BRI</td>
<td><a
href="http://neuroscience.ucla.edu/profile/basso-michele">Dr. Basso’s
work is aimed at understanding how the brain combines memory and sensory
information to guide decisions and how these processes are impaired in
diseases.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=YmmvnoYAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Bisley, James</td>
<td>Neurobiology, BRI</td>
<td><a
href="http://neuroscience.ucla.edu/profile/bisley-james">Dr. Bisley’s
research interests revolve around the cognitive processing of visual
information, with particular foci on understanding the neural mechanisms
underlying the guidance of visual attention, the guidance of eye
movements and spatial stability. His lab has also studied visual working
memory and he has been involved in implementing haptic feedback for
surgical robotics.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=james+bisley&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Buonomano, Dean</td>
<td>Behavioral Neuroscience, Neurobiology, BRI</td>
<td><a href="http://www.buonomanolab.com">Our research focuses on how
neural circuits learn and perform complex computations–such as telling
time and temporal processing. Towards this goal our lab uses
electrophysiological, optogenetic, computational, and psychophysical
techniques.</a></td>
<td><a href="http://www.buonomanolab.com/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Golshani, Peyman</td>
<td>Neurology, BRI</td>
<td><a href="https://golshanilab.neurology.ucla.edu/">The mission of our
laboratory is to discover how changes in the excitability and
connectivity of neuronal ensembles results in autism and developmental
epilepsies.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=H-e-YNUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Hong, Weizhe</td>
<td>Biological Chemistry, Neurobiology</td>
<td><a href="http://www.hong-lab.com/">We aim to understand how social
behavior is regulated at the molecular and circuit level and how social
behavior and social experience lead to molecular and circuit level
changes in the brain</a></td>
<td><a href="http://www.hong-lab.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Kao, Jonathan</td>
<td>Electrical Engineering, BRI</td>
<td><a href="https://seas.ucla.edu/~kao/">Our research group studies
questions at the intersection of neuroscience and computation. In
particular, we develop and apply statistical signal processing and
machine learning techniques to elucidate how populations of neurons
carry out computations in the brain. Further, we also develop
experimental and algorithmic techniques for neural engineering
applications, including brain-machine interfaces.</a></td>
<td><a href="https://seas.ucla.edu/~kao/pubs.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Masmanidis, Sotiris</td>
<td>Neurobiology, BRI</td>
<td><a href="https://masmanidislab.neurobio.ucla.edu/">Key questions:
What are the dynamics of neural microcircuits during reward-conditioned
behavior? What role does the activity of specific microcircuits play in
reward-conditioned behavior? How is neural activity and information
processing disrupted in models of brain disorders?</a></td>
<td><a
href="https://masmanidislab.neurobio.ucla.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Mehta, Mayank</td>
<td>Physics and Astronomy, Neurology,Neurobiology, BRI</td>
<td><a href="http://www.physics.ucla.edu/~mayank/">Key techniques:
Develop hardware to measure and manipulate neural activity and behavior;
Measure the activity of ensembles of well isolated neurons from many
hippocampal and neocortical areas simultaneously during learning and
during sleep; Develop data analysis tools to decipher the patterns of
neural activity and field potentials, and their relationship to
behavior; Develop biophysical theories of synapses, neurons and neuronal
networks that can explain these experimental findings, relate them to
the underlying cellular mechanisms, and make experimentally testable
predictions.</a></td>
<td><a
href="http://www.physics.ucla.edu/~mayank/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Portera-Cailliau, Carlos</td>
<td>Neurology, Neurobiology, BRI</td>
<td><a href="https://porteralab.dgsom.ucla.edu/pages/">Autism; How are
cortical circuits assembled during typical brain development? What are
the underlying circuit defects in autism and intellectual disability?
What are the best ways to model neuropsychiatric symptoms?</a></td>
<td><a
href="https://porteralab.dgsom.ucla.edu/pages/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Ringach, Dario</td>
<td>Psychology, Behavioral Neuroscience, Neurobiology, BRI</td>
<td><a href="http://neuroscience.ucla.edu/profile/ringach-dario">Our
research focuses on visual perception and neurophysiology. In
particular, we are interested in cortical dynamics, circuitry, function,
and mathematical modeling of the visual system. The main methods in the
laboratory include multi-electrode recordings from single neurons, as
well as intrisic and voltage senstive dye imaging of visual
cortex.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=V6xKYw4AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Sharpe, Melissa J.</td>
<td>Psychology</td>
<td><a href="https://sharpelab.psych.ucla.edu/">The lab has a particular
interest in how this model building goes awry in schizophrenia. People
with schizophrenia are known to exhibit failures in associative
learning, characteristically learning to associate events that are not
really related or may be irrelevant. This is thought to contribute to
the positive symptoms of the disorder, such as hallucinations and
delusions, as patients attempt to cognitively rationalize their aberrant
learning experience. As a lab, we want to uncover how dysfunction in
particular neural circuits contribute to these associative learning
deficits, which ultimately lead to positive symptoms of the disorder.
The hope is that this work will provide the impetus to develop novel
therapeutic compounds targeting these neural circuits to improve quality
of life in patients.</a></td>
<td><a
href="https://sharpelab.psych.ucla.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Suthana, Nanthia</td>
<td>Neurosurgery</td>
<td><a href="http://mentalhealth.ucla.edu/lonn/">We focus on development
of invasive and non-invasive methodologies to restore cognitive
functions such as learning, memory and spatial navigation. This research
program utilizes methods of deep brain stimulation combined with
intracranial recordings of single-unit and local field potentials to
characterize and develop neuromodulatory methods of memory restoration
in individuals with debilitating memory impairments.</a></td>
<td><a href="http://lonn.semel.ucla.edu/?page_id=53">Lab</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Trachtenberg, Joshua</td>
<td>Neurobiology, BRI</td>
<td><a
href="https://www.neurobio.ucla.edu/people/joshua-trachtenberg-phd">But
how do novel sensory experiences embed themselves in the fabric of the
brain to form memories? This question drives the research in my
laboratory, which examines the cellular and synaptic mechanisms of
experience-dependent plasticity in the neocortex</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=7KQc7SMAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="odd">
<td>Wikenheiser, Andrew</td>
<td>Psychology</td>
<td><a href="https://wikenheiserlab.psych.ucla.edu/">Our lab studies how
neural representations support behaviors like decision making. We
approach this question by recording the electrical activity of neurons
as rats perform behavioral tasks. Electrophysiological techniques are
augmented with optogenetics and computational analyses.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=W1fYwRMAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-california-san-diego">University of California San
Diego</h5>
<ul>
<li><a
href="https://medschool.ucsd.edu/education/neurograd/prospective-students/Pages/default.aspx">Neurograd
program, GRE: Institution(4836) Department(0213), Specify interest in
Computational Neuroscience specialization</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 11%" />
<col style="width: 70%" />
<col style="width: 15%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Abarbanel, Henry</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/henry-abarbanel.aspx">(physics)
electrophysiological properties of neurons</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=GutIbK0AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Albright, Thomas</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/thomas-albright.aspx">neural
structures and events underlying the perception of motion, form, and
color</a></td>
<td><a
href="https://www.salk.edu/scientist/thomas-albright/publications/">Lab</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>Asahina, Kenta</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/kenta-asahina.aspx">…
employing … CRISPR/Cas9 genome editing, manipulation of specific neural
populations, 2-photon functional imaging, and machine vision-assisted
behavioral analyses</a></td>
<td><a
href="https://www.salk.edu/scientist/kenta-asahina/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Bazhenov, Maksim</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/Maksim-Bazhenov.aspx">we
apply a variety of methods – quantitative experimental techniques,
sophisticated mathematical analysis and large-scale computer modeling –
to a variety of problems to reveal common features</a></td>
<td><a href="https://www.bazhlab.ucsd.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Cauwenberghs, Gert</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/gert-cauwenberghs.aspx">VLSI
microsystems for adaptive neural computation</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=KZQz_7AAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Chalasani, Sreekanth</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/sreekanth-chalasani.aspx">…interested
in understanding how neural circuits sense and process information to
generate behaviors</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=chalasani+sreekanth&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Coleman, Todd</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/todd-coleman.aspx">Flexible
bio-electronics, systems neuroscience, quantitative approaches to
understand and augment brain function.</a></td>
<td><a href="http://coleman.ucsd.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>de Sa, Virginia</td>
<td><a href="http://www.cogsci.ucsd.edu/~desa/">We study the
computational properties of machine learning algorithms and also
investigate what physiological recordings and the constraints and
limitations of human performance tell us about how our brains
learn</a></td>
<td><a
href="http://www.cogsci.ucsd.edu/academicPubs/desa/Publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Gentner, Timothy</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/timothy-gentner.aspx">(Acoustic)
We want to know how the brain represents behaviorally important,
complex, natural stimuli</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=s9_46JoAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Gilja, Vikash</td>
<td><a href="http://neuro.eng.ucsd.edu/people">brain-machine
interfaces</a></td>
<td><a href="http://neuro.eng.ucsd.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Kleinfeld, David</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/david-kleinfeld.aspx">network
and computational issues within nervous systems</a></td>
<td><a
href="http://neurophysics.ucsd.edu/journal_articles.php">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Komiyama, Takaki</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/takaki-komiyama.aspx">neuronal
ensembles in behaving animals, BCI, two-photon in vivo</a></td>
<td><a
href="http://labs.biology.ucsd.edu/komiyama/html/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Kristan, William</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/william-klristan.aspx">study
vector calculations, coding/decoding, and control of gain</a></td>
<td><a
href="https://scholar.google.com/scholar?hl=en&amp;as_sdt=0%2C5&amp;as_ylo=2018&amp;q=Kristan%2C+William&amp;btnG=">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Mishra, Jyoti</td>
<td><a href="http://neatlabs.ucsd.edu/index.html">Neurotechnology
engineering studies in humans and animals to advance experimental
diagnostics and therapeutics for neuropsychiatric disorders.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=ZUFLEBIAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Mukamel, Eran A.</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/eran-mukamel.aspx">(Epigenomics)
Research in our lab uses computational modeling and analysis of
large-scale data sets to understand complex biological networks, from
the genome to brain circuits</a></td>
<td><a href="https://brainome.ucsd.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Navlakha, Saket</td>
<td><a href="http://www.algorithmsinnature.org/">Algorithms in
nature</a></td>
<td><a href="http://www.snl.salk.edu/~navlakha/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Reinagel, Pamela</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/pamela-reinagel.aspx">computational
models to explain reward-motivated choice behavior</a></td>
<td><a href="http://www.ratrix.org/Publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td></td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/terrence-sejnowski.aspx">(One
of the founders of Deep Learning)… To uncover linking principles from
brain to behavior using computational models…New techniques have been
developed for modeling cell signaling using Monte Carlo methods
(MCell)…new methods for analyzing sources for electrical and magnetic
signals… from functional brain imaging by blind separation using
independent components analysis (ICA)</a></td>
<td><a
href="http://papers.cnl.salk.edu/index.php?SearchText=Type=Article">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Serences, John</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/john-serences.aspx">To
investigate the influence of behavioral goals and previous experiences
on perception and cognition, we employ a combination of psychophysics,
computational modeling, and neuroimaging techniques</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=mSaemJkAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Sharpee, Tatyana</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/tatyana-sharpee.aspx">Our
approaches are often derived from methods in statistical physics,
mathematics, and information theory</a></td>
<td><a
href="http://papers.cnl-t.salk.edu/index.php?SearchText=Type=Article">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Silva, Gabriel</td>
<td><a href="http://www.silva.ucsd.edu/">(Ophthlmology) In particular,
we are interested in the mechanisms that underlie signal and information
propagation in biological cellular neural networks, and the
computational potential of such networks in the brain</a></td>
<td><a href="http://www.silva.ucsd.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Stevens, Charles F.</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/charles-stevens.aspx">mechanisms
responsible for synaptic transmission</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2017&amp;q=Charles+stevens+salk&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Störmer, Viola</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/viola-stormer.aspx">…Cognitive
and neural mechanisms of human perception, selective attention, and
multisensory processing…to understand the computations and processes
involved to process these diverse inputs, it is important to consider
the full breadth of incoming information</a></td>
<td><a href="http://stoermerlab.ucsd.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Voytek, Bradley</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/bradley-voytek.aspx">focused
on combining large scale data-mining and machine-learning techniques
with hypothesis-driven experimental research to understand the
relationships between the human frontal lobes, cognition, and
disease</a></td>
<td><a href="https://voyteklab.com/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Yeo, Gene</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/gene-yeo.aspx">leader
in developing the molecular and cellular resources and robust
technologies required for truly large-scale studies of hundreds of RNA
binding proteins and their RNA targets</a></td>
<td><a href="http://yeolab.github.io/papers/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Yu, Angela J.</td>
<td><a
href="https://medschool.ucsd.edu/education/neurograd/faculty/Pages/angela-yu.aspx">Computational
modeling and psychophysics of attention, learning, and
decision-making</a></td>
<td><a href="http://www.cogsci.ucsd.edu/~ajyu/">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-california-santa-barbara">University of
California, Santa Barbara</h5>
<ul>
<li><a href="https://www.dyns.ucsb.edu/people">DYNS</a></li>
<li><a href="https://www.graddiv.ucsb.edu/eapp/Login.aspx">Graduate
School application. Regardless of degree, preference will be given to
applicants with undergraduate coursework in biology, chemistry, physics,
and mathematics</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 4%" />
<col style="width: 66%" />
<col style="width: 24%" />
<col style="width: 1%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Department</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Ashby, Greg</td>
<td>Psychological &amp; Brain Sciences</td>
<td><a href="https://www.dyns.ucsb.edu/people/ashby">Dr. Ashby’s
approach is to collect a wide varity of empirical data (e.g., from
cognitive behavioral experiments, fMRI experiments, and studies with
various neuropsychological patient groups), and use these data to
develop and test neurobiologically detailed mathematical models</a></td>
<td><a
href="https://labs.psych.ucsb.edu/ashby/gregory/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Carlson, Jean</td>
<td>Physics</td>
<td><a href="http://web.physics.ucsb.edu/~complex/">The Complex Systems
group at UCSB, headed by Physics professor Jean Carlson, investigates
robustness, tradeoffs, and feedback in complex, highly connected
systems, and develops multi-scale models to capture important
small-scale details and predict large-scale behavior.</a></td>
<td><a
href="http://web.physics.ucsb.edu/~complex/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Chrastil, Liz</td>
<td>Geography</td>
<td><a href="https://www.dyns.ucsb.edu/people/chrastil">The focus of our
research is understanding how the brain supports spatial navigation. We
use virtual reality, fMRI, and EEG methods to test questions about the
nature of our spatial geometry, why individuals differ so much in their
navigational abilities, and how we acquire and use spatial
knowledge.</a></td>
<td><a href="https://chrastil.geog.ucsb.edu/node/9">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Eckstein, Miguel</td>
<td>Psychological &amp; Brain Sciences</td>
<td><a href="https://labs.psych.ucsb.edu/eckstein/miguel/">The Vision
and Image Understanding Laboratory at the University of California,
Santa Barbara pursues computational modeling of behavioral, cognitive
neuroscience and physiological data with the aim of elucidating the
mechanisms and neural substrates mediating perception, attention and
learning.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=G5dQztgAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Gazzaniga, Michael</td>
<td>Psychological &amp; Brain Sciences</td>
<td><a href="https://www.sagecenter.ucsb.edu/about">The Center
integrates a wide range of scholarly endeavors and technologies in the
humanities, social sciences and the sciences. These will include, for
example, the metaphysics and the philosophy of the mind; methodologies
in the social and behavioral sciences; and the relatively recent tools
that have been developed in the sciences such as functional
neuro-imaging, genetic techniques, computational modeling and immersive
virtual environment technology.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=jpVab-AAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Giesbrecht, Barry</td>
<td>Psychological &amp; Brain Sciences</td>
<td><a href="https://www.dyns.ucsb.edu/people/giesbrecht">We use a
combination of behavioral and neuroimaging techniques (EEG, fMRI)
coupled with advanced analytical methods to systematically investigate
the dynamics of the perceptual, cognitive, and neural mechanisms of
selective attention.</a></td>
<td><a
href="https://labs.psych.ucsb.edu/giesbrecht/barry/Attention_Lab/Publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Goard, Michael</td>
<td>Molecular, Cellular, and Developmental Biology</td>
<td><a href="https://www.dyns.ucsb.edu/people/goard">To this end, my lab
employs large-scale two-photon calcium imaging, multi-unit
electrophysiology, and optogenetic manipulation of neural activity in
behaving mice. We then use computational approaches to analyze and
interpret the data collected from large populations of neurons.</a></td>
<td><a
href="https://labs.mcdb.ucsb.edu/goard/michael/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Grafton, Scott</td>
<td>Psychological &amp; Brain Sciences</td>
<td><a href="https://www.dyns.ucsb.edu/people/grafton">Our research
emphasizes experiments that elucidate the underlying cognitive
architecture that represents action and transforms intentions and goals
into specific movements…Data modeling approaches include conventional
multivariate methods, machine learning and representational similarity.
We also characterize functional data using dynamic community detection
algorithms.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=7yJze9oAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Jacobs, Emily</td>
<td>Psychological &amp; Brain Sciences</td>
<td><a href="https://jacobs.psych.ucsb.edu/">he Jacobs Lab is focused on
understanding the extent to which sex steroid hormones shape the neural
circuitry underlying higher order cognitive functions…</a></td>
<td><a href="https://jacobs.psych.ucsb.edu/publications">Lab</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Janusonis, Skirmantas</td>
<td>Psychological &amp; Brain Sciences</td>
<td><a href="https://www.dyns.ucsb.edu/people/janusonis">The brain
serotonin matrix and its interaction with other cellular elements;
Stochastic processes driving the formation of the ascending reticular
activating system; The architectures of early vertebrate brains</a></td>
<td><a
href="https://labs.psych.ucsb.edu/janusonis/skirmantas/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Kosik, Kenneth</td>
<td>Molecular, Cellular, and Developmental Biology</td>
<td><a href="https://ken-kosik.mcdb.ucsb.edu/">The lab is interested in
the underlying molecular basis of plasticity, particularly how protein
translation at the synapse affects learning and how impairments of
plasticity lead to neurodegenerative diseases.</a></td>
<td><a href="https://ken-kosik.mcdb.ucsb.edu/publications">Lab</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Louis, Matthieu</td>
<td>Molecular, Cellular, and Developmental Biology</td>
<td><a href="https://www.dyns.ucsb.edu/people/louis">My lab seeks to
reveal building blocks of neural computation underlying sensory
perception and adaptive decision making…Combining neuronal imaging and
perturbation analysis through optogenetics, we generate mechanistic
hypothesis about the neural implementation of navigational
decisions.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=UX3e9O0AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Madhow, Upamanyu</td>
<td>Electrical and Computer Engineering</td>
<td><a href="https://wcsl.ece.ucsb.edu/people/upamanyu-madhow">Examples
of ongoing projects include multiGigabit millimeter wave communication
networks, novel architectures and hardware prototypes for very large
scale sensor networks, and target tracking using very simple
sensors.</a></td>
<td><a href="https://wcsl.ece.ucsb.edu/publications">Lab</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>B.S. Manjunath</td>
<td>Electrical and Computer Engineering</td>
<td><a href="https://vision.ece.ucsb.edu/">Current research focus is on
(a) integration of human and contextual information in analyzing images
and video, leading to bio-inspired methods for computer vision;</a></td>
<td><a
href="https://vision.ece.ucsb.edu/publications/by-year?field_subject_tid=All&amp;field_author_value=&amp;field_grant_tid=All&amp;field_project_tid=All&amp;field_lab_value=All&amp;field_target_value=All&amp;nid=&amp;field_pubid_value=&amp;field_vrlid_value=&amp;sortby=by-year&amp;viewtype=">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Miller, Michael</td>
<td>Psychological &amp; Brain Sciences</td>
<td><a href="https://labs.psych.ucsb.edu/miller/michael/index.html">His
research employs a variety of techniques, including functional magnetic
resonance imaging (fMRI), event-related potentials (ERP), transcranial
magnetic stimulation (TMS), split-brain studies, and signal detection
analysis</a></td>
<td><a
href="https://labs.psych.ucsb.edu/miller/michael/publications.html">Lab</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Moehlis, Jeff</td>
<td>Mechanical Engineering</td>
<td><a href="https://www.dyns.ucsb.edu/people/moehlis">We have been
developing procedures for determining an optimal electrical deep brain
stimulus which desynchronizes the activity of a group of neurons by
maximizing the Lyapunov exponent associated with their phase dynamics,
work that could lead to an improved “brain control” method for treating
Parkinson’s disease…Other research interests include the applications of
dynamical systems and control techniques to other neuroscience systems,
cardiac dynamics, energy harvesting, and collective behavior.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=qDFqGPQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Montell, Craig</td>
<td>Molecular, Cellular, and Developmental Biology</td>
<td><a href="https://labs.mcdb.ucsb.edu/montell/craig/">Using molecular
genetic, optogenetic, thermogenetic, electrophysiological, biochemical
and cell biological approaches in the fruit fly, Drosophila
melanogaster, our laboratory is decoding the receptors, ion channels and
neuronal circuits that are critically important in allowing flies to
sense the outside world, and impact on decisions ranging from food
selection to choosing the ideal thermal landscape, mate selection and
others.</a></td>
<td><a
href="https://labs.mcdb.ucsb.edu/montell/craig/publications">Lab</a></td>
<td>+?</td>
</tr>
<tr class="even">
<td>Simpson, Julie</td>
<td>Molecular, Cellular, and Developmental Biology</td>
<td><a href="https://labs.mcdb.ucsb.edu/simpson/julie/">How does the
brain control behavior? We study the neural circuits that organize a
flexible sequence of movements that remove dust from fruit
flies.</a></td>
<td><a
href="https://labs.mcdb.ucsb.edu/simpson/julie/publications">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Smith, Spencer L.</td>
<td>Electrical and Computer Engineering</td>
<td><a href="http://slslab.org/">We are exploring population dynamics
with single cell resolution to elucidate principles of circuit
architecture, dynamics, and computation. We are currently using this
technology to explore activity in primary and higher visual cortical
areas in mice…To explore cellular and population activity in a context
in which behaviorally relevant mechanisms are engaged, we have developed
and optimized insturmentation to explore quantitative psychophysical
behavior guided by complex visual stimuli…We are exploring the
technological headroom in several domains for developing new tools and
techniques for neuroscience and other biological applications.</a></td>
<td><a href="http://slslab.org/#publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Turk, Matthew</td>
<td>Computer Science</td>
<td><a href="http://ilab.cs.ucsb.edu/">My primary research interests are
in computer vision and imaging, human-computer interaction, machine
learning, and augmented reality. I’m also interested in computation
models of, and tools for, neuroscience.</a></td>
<td><a href="http://ilab.cs.ucsb.edu/publications">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-oregon">University of Oregon</h5>
<ul>
<li><a
href="http://ion.uoregon.edu/content/cognitive-computational-and-systems-neuroscience-training-program">Computational
and Systems Neuroscience</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 81%" />
<col style="width: 13%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Ahmadian, Yashar</td>
<td><a
href="http://ion.uoregon.edu/content/yashar-ahmadian">(Theoretical
Neuroscience)…understanding how large networks of neurons…process
sensory inputs and give rise to higher-level cognitive functions through
their collective dynamics on multiple time scales</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=ZDaThWgAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Doe, Chris</td>
<td><a href="http://ion.uoregon.edu/content/chris-doe-0">Assembly and
function of neural circuits driving larval locomotion in Drosophila…
interested in (1) temporal identity programs used to generate an ordered
series of neural progeny from a single progenitor, (2) how spatial
patterning and temporal identity are integrated to generate heritable
neuronal identity, (3) how neuronal progenitors change competence to
respond to intrinsic and extrinsic cues over time, and (4) the
developmental mechanisms driving neural circuit assembly, with a focus
on larval locomotor circuits and adult central complex
circuits.</a></td>
<td><a href="http://www.doelab.org/recent-pubs.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Huxtable, Adrianne</td>
<td><a href="http://ion.uoregon.edu/content/adrianne-huxtable">neural
control of breathing (the central brainstem and spinal cord networks),
with a specific focus on how inflammation … undermines
breathing</a></td>
<td><a href="https://huxtable.uoregon.edu/publications/">Lab</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Lockery, Shawn</td>
<td><a href="http://ion.uoregon.edu/content/shawn-lockery">nervous
system controls behavior by analyzing the neural networks for decision
making, focusing on spatial exploration behaviors, and food choice
involving trade-offs that mimic human economic decisions</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=x4paaz0AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Mazzucato, Luca</td>
<td><a href="https://www.mazzulab.com">Computational models of cortical
network function.</a></td>
<td><a href="https://www.mazzulab.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Miller, Adam C.</td>
<td><a href="http://ion.uoregon.edu/content/adam-miller">Neural circuit
wiring, synapse formation, and electrical synaptogenesis in
zebrafish</a></td>
<td><a href="http://millerlab.brainbuild.org/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Niell, Cris</td>
<td><a href="http://ion.uoregon.edu/content/cris-niell">Function and
development of neural circuits for visual processing</a></td>
<td></td>
<td>+</td>
</tr>
<tr class="even">
<td>Smear, Matt</td>
<td><a href="http://ion.uoregon.edu/content/matt-smear">will pursue
general principles of how neural circuits generate behavior</a></td>
<td><a
href="https://scholar.google.com/citations?user=nU455D0AAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Swann, Nicki</td>
<td><a href="http://ion.uoregon.edu/content/nicki-swann">Studies the
motor system in healthy people as well as patients with movement
disorders (e.g. Parkinsons), using a combination of invasive and
non-invasive electrophysiology.</a></td>
<td><a href="https://swannlab.uoregon.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Sylwestrak, Emily</td>
<td><a href="http://ion.uoregon.edu/content/emily-sylwestrak">understand
how heterogeneous, molecularly-defined neuronal populations work
together to drive behavior</a></td>
<td><a href="https://www.sylwestraklab.com/papers">Lab</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>Washbourne, Philip</td>
<td><a href="http://ion.uoregon.edu/content/philip-washbourne">Molecular
mechanisms of synapse formation</a></td>
<td><a
href="https://blogs.uoregon.edu/washbournelab/publications/">Lab</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Wehr, Michael</td>
<td><a href="http://ion.uoregon.edu/content/michael-wehr">How local
circuits in the auditory cortex encode and transform sensory
information</a></td>
<td><a
href="http://uoneuro.uoregon.edu/wehr/publications.html">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-southern-california">University of Southern
California</h5>
<ul>
<li><a href="https://ngp.usc.edu/admissions/">USC Neuroscience Graduate
Program. GRE Average: 155(Verbal), 167(Quant), Institution(4852),
Department(0213)</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 80%" />
<col style="width: 14%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Brocas, Isabelle</td>
<td><a href="https://dornsife.usc.edu/label/home/">I combine economic
theoretical modeling (optimization based, game theoretic based),
computational approaches, and a large variety of experimental
methods.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=isabelle+brocas&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Coricelli, Giorgio</td>
<td><a href="https://ngp.usc.edu/faculty/?faculty-profile=159">Our
objective is to apply robust methods and findings from behavioral
decision theory to study the brain structures that contribute to forming
judgments and decisions, both in an individual and a social
context</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=nEVZSJUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>Duncan, Dominique</td>
<td>Epilepsy, EEG, MRI, Traumatic Brain Injury, Alzheimer’s Disease,
Applied Harmonic Analysis, Diffusion Geometry, Biomedical Signal
Processing, Nonlinear Filtering, Analysis and Modeling of Signals,
Statistical Signal Processing, Virtual Reality</td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=zMF-ELoAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Finley, James M.</td>
<td><a href="http://lcl.usc.edu/">Dr. Finley’s lab develops theoretical
models and experiments based on principles of neuroscience,
biomechanics, and exercise physiology to identify the factors that guide
learning and rehabilitation. Ultimately, the goal of his work is to
design novel and effective interventions to improve locomotor control in
individuals with damage to the nervous system.</a></td>
<td><a href="http://lcl.usc.edu/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Humayun, Mark S.</td>
<td><a href="https://ngp.usc.edu/faculty/?faculty-profile=45">Electrical
stimulation of the retina,Retinal prosthesis, Retinal disease,
Instrumentation for vitreoretinal surgery</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=humayun+mark+s&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Irimia, Andrei</td>
<td><a href="http://www.andrei-irimia.com/index.html">My research
involves the use of multimodal neuroimaging (MRI, MRA, PET, CT, EEG,
MEG) to understand how traumatic brain injury (TBI) alters brain aging…
We integrate brain mapping techniques with machine intelligence and
computational biology approaches to investigate how brain connectivity
alterations…</a></td>
<td><a
href="http://www.andrei-irimia.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Kalluri, Radha</td>
<td><a href="https://ngp.usc.edu/faculty/?faculty-profile=156">First, we
study how the hydromechanical properties of the inner ear form the
place-frequency map by using non-invasive measurements of inner ear
physiology combined with mechanical modeling. Second, using whole-cell
patch clamping techniques combined with neuroanatomy and modeling we
study the biophysical processes underlying sensory signalling at the
first synapse between cochlear sensory cells and the primary auditory
neuron.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Radha+Kalluri&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Kim, Hosung</td>
<td><a
href="https://sites.google.com/usc.edu/nidll/research?authuser=0">NIDLL’s
research is focused on developing an analytic platform that assesses
aging of brain structures and their structural and functional networks.
Our scientific mission lies in predicting the eventual long-term outcome
for neurodevelopment and quantifying the progression of
neurodegeneration.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=y2YSIGgAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Kutch, Jason J</td>
<td><a href="http://ampl.usc.edu/">he AMPL performs basic science and
translational research focused on the neural mechanisms for muscle
activation, engineering of non-invasive systems to study human motor
function, and neuromuscular chronic pain disorders. Of particular
interest to the lab are adaptive and maladaptive motor adaptations in
individuals with chronic pain, and the brain mechanism of these
adaptations.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=QOeSn50AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Mel, Bartlett W.</td>
<td><a href="https://ngp.usc.edu/faculty/?faculty-profile=12">Using
computer models to study brain function at single cell and systems
levels. Role of active dendritic processing in the sensory and
memory-related functions of pyramidal neurons. Neuromorphic models of
visual cortex; neurally-inspired approaches to image processing
problems.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=OXkq-Z8AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Narayanan, Shrikanth</td>
<td><a href="https://sail.usc.edu/">SAIL conducts fundamental and
applied research in human-centered information processing. Our emphasis
is on speech, audio, language, biomedical and multi-modal signal
processing, machine learning and pattern recognition.</a></td>
<td><a href="https://sail.usc.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Quadrato, Giorgia</td>
<td><a href="https://quadratolab.usc.edu/research/">The goal of our lab
is to improve emerging brain-region specific models of the human brain,
including pluripotent stem cell derived 3D organoids and human chimeric
mice…</a></td>
<td><a href="https://quadratolab.usc.edu/publications/">Lab</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>Read, Stephen J.</td>
<td><a href="https://dornsife.usc.edu/labs/sandlab/">Neuroscience of
Decision-making; Computational models of motivated decision-making;
Computational models of personality; Pavlovian Instrumental Transfer in
human social behavior</a></td>
<td><a
href="https://dornsife.usc.edu/labs/sandlab/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Smith, Beth A.</td>
<td><a href="https://sites.usc.edu/inclab/">Current projects are focused
on understanding the relationship between movement experience, movement
outcomes and underlying neural control. We are using Opal movement
sensors (small, lightweight, synchronized accelerometer /gyroscope
/magnetometers) to analyze infant movement experience and movement
outcomes through full-day, in-home monitoring</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=97mrgpYAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Song, Dong</td>
<td><a href="https://ngp.usc.edu/faculty/?faculty-profile=783">My main
research interests are in the fields of computational neuroscience and
neural engineering. The overarching goal of my research is to develop
brain-like, biomimetic devices that can mimic and restore cognitive
functions</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=noJkQ7wAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Swanson, Larry</td>
<td><a href="http://larrywswanson.com/">We are interested in the
organization of neural networks that control motivated behavior in
mammals. The approach is mostly structural, and to display and model
results we are developing computer graphics and database
approaches</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=CsQTBwsAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Tao, Huizhong W.</td>
<td><a href="https://ngp.usc.edu/faculty/?faculty-profile=84">We are
interested in the architecture of visual cortical circuits. To dissect
the circuits that consist of excitatory and inhibitory neurons, we will
apply in vivo electrophysiology, in particular two-photon imaging guided
recording, to target different types of neurons in rodent visual cortex.
From the response properties of individual neurons and the pattern of
synaptic inputs to these neurons, we will be able to deduce the
connectivity rules governing the construction of cortical
circuits</a></td>
<td><a
href="https://ngp.usc.edu/faculty/?faculty-profile=84">Lab</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Zhang, Li I</td>
<td><a href="https://sites.usc.edu/zhanglab/">As a systems
neuroscientist, our ultimate research goal is to decipher the brain
circuits, and to understand how perception and behaviors are generated
and controlled, how the brain’s cortex adapts in response to changes in
the dynamic external environment, and how specific changes in cortical
functions result in neurological and psychiatric disorders. To address
these highly challenging questions, our approach is to resolve the
neural circuitry (how neurons are wired in the brain), i.e. the
structural basis underlying the brain functions.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=LI+Zhang+USC&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-texas-austin">University of Texas, Austin</h5>
<ul>
<li><a href="http://ctcn.utexas.edu/apply-students/">Apply through: GRE:
Institutional(6882), Mathematics (GRE: self report on application),
Computer Science (No minimum, but high quant), Physics, ECE,
Neuroscience, Psychology…</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 5%" />
<col style="width: 65%" />
<col style="width: 24%" />
<col style="width: 4%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Goris, Robbe</td>
<td><a href="http://ctcn.utexas.edu/member/robbe-goris/">He uses
behavioral experiments, computational theory, and monkey
electrophysiology to study representation and computation in the primate
visual system</a></td>
<td><a href="http://ctcn.utexas.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Fiete, Ila</td>
<td><a href="http://ctcn.utexas.edu/member/ila-fiete/">uses
computational and theoretical approaches to understand the nature of
distributed coding, error correction, and dynamical mechanisms that
underlie representation and computation in the brain</a></td>
<td><a
href="http://clm.utexas.edu/fietelab/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Geisler, Bill</td>
<td><a href="http://ctcn.utexas.edu/member/bill-geisler/">research
combines behavioral studies, neurophysiological studies, studies of
natural stimuli, and mathematical analysis</a></td>
<td><a
href="https://liberalarts.utexas.edu/cps/faculty/wsg8#publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Huth, Alex</td>
<td><a href="https://www.cs.utexas.edu/~huth/">Our lab uses
quantitative, computational methods to try to understand how the human
brain processes the natural world. In particular, we are focused on
understanding how the meaning of language is represented in the
brain</a></td>
<td><a
href="https://www.cs.utexas.edu/~huth/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Soloveichik, David</td>
<td><a
href="http://ctcn.utexas.edu/member/david-soloveichik/">(molecular
programming), theoretical connections between distributed computing and
molecular information processing. David is also interested in
understanding how neural networks can execute distributed computing
algorithms</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=dSPQHDoAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Taillefumier, Thibaud</td>
<td><a href="https://mathneuro.cns.utexas.edu/research">We develop novel
analytical and algorithmic tools to address questions at the interface
of Systems Neuroscience and Applied Mathematics</a></td>
<td><a href="https://mathneuro.cns.utexas.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Tran, Ngoc Mai</td>
<td><a href="http://ctcn.utexas.edu/member/ngoc-mai-tran/">probabilistic
and combinatorial questions arising from tropical geometry and
neuroscience</a></td>
<td><a
href="https://web.ma.utexas.edu/users/ntran/publications.html">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-washington-seattle">University of Washington,
Seattle</h5>
<ul>
<li><a
href="https://cneuro-web01.s.uw.edu/training-programs/graduate-training-program/">Computational
Neuroscience Center</a></li>
<li>Apply to Computer Science and Engineering, Applied Mathematics,
Neurobiology and Behavior, Psychology, Physics…</li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 78%" />
<col style="width: 16%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Bair, Wyeth</td>
<td><a
href="http://depts.washington.edu/neurogrd/people/faculty/wyeth-bair/">understand
neural circuitry and neural coding in the cerebral cortex with a major
emphasis on the primate visual system. We approach this problem by
recording directly from neurons in the functioning brain in vivo and by
creating and refining large scale spiking neural network models that run
on parallel computers</a></td>
<td><a
href="https://scholar.google.com/scholar?hl=en&amp;as_sdt=0%2C5&amp;as_ylo=2017&amp;q=W+bair+washington&amp;btnG=">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Brunton, Bing</td>
<td><a href="https://www.bingbrunton.com/research">Data-driven dynamic
models of large-scale neural data; Neural computations underlying
long-term, naturalistic behavior; Efficient algorithms for closed-loop
neuroengineering; Sparse sensors for biological and engineered
systems</a></td>
<td><a
href="https://scholar.google.com/citations?user=UftAYPkAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Buice, Michael</td>
<td><a
href="https://alleninstitute.org/what-we-do/brain-science/about/team/staff-profiles/michael-buice/">identifying
and understanding the mechanisms and principles that the nervous system
uses to perform the inferences which allow us to perceive the world. I
am particularly interested in neural implementations of Bayesian
inference and mechanisms by which prior knowledge is encoded as well as
the implications that coding efficiency has on the structure of neural
circuits</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Buice+Michael%5BAuthor%5D">PubMed</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Chizeck, Howard Jay</td>
<td><a
href="https://www.ece.uw.edu/people/howard-jay-chizeck/">(telerobotics
and neural engineering). His telerobotic research includes haptic
navigation and control for robotic surgery and for underwater devices,
as well as security of telerobotic systems. His neural engineering work
involves the design and security of brain-machine interfaces, and the
development of assistive devices to restore hand and locomotion
capabilities</a></td>
<td><a href="http://brl.ee.washington.edu/eprints/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Koch, Christof</td>
<td><a
href="https://alleninstitute.org/what-we-do/brain-science/about/team/staff-profiles/christof-koch/">biophysical
mechanisms underlying neural computation, understanding the mechanisms
and purpose of visual attention, and uncovering the neural basis of
consciousness and the subjective mind</a></td>
<td><a
href="https://scholar.google.com/citations?user=JYt9T_sAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Fairhall, Adrienne</td>
<td><a href="https://fairhalllab.com/">theoretical approaches to
understand processing in nervous systems. We collaborate closely with
experimental labs to uncover algorithms of information processing in a
range of systems, from single neurons to foraging mosquitoes to
navigating primates</a></td>
<td><a href="https://fairhalllab.com/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Fox, Emily B.</td>
<td><a href="https://homes.cs.washington.edu/~ebfox/">large-scale
Bayesian dynamic modeling and computations</a></td>
<td><a
href="https://homes.cs.washington.edu/~ebfox/publications/">Lab</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Kutz, Nathan</td>
<td><a
href="https://faculty.washington.edu/kutz/page2/page8/">Theoretical
Methods for Characterizing the Brain and Sensory-Motor
Processing</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=kfT42KEAAAAJ&amp;view_op=list_works">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Mihalas, Stefan</td>
<td><a
href="https://alleninstitute.org/what-we-do/brain-science/about/team/staff-profiles/stefan-mihalas/">he
works to build a series of models of increasing complexity for both
individual components, i.e., neurons, synapses, and microcircuits, as
well as for large portions of the entire system</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Mihalas+Stefan%5BAuthor%5D">NCBI</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Rao, Rajesh</td>
<td><a href="http://www.csne-erc.org/content/projects">Neural networks
implemented on Neurochip FPGA; A dynamical systems approach to
understanding cortical microcircuits, adaptation and plasticity
induction</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=02nHF0gAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Rokem, Ariel</td>
<td><a
href="https://escience.washington.edu/people/ariel-rokem/">development
of data science tools, techniques and methods and their application to
the analysis of neural data</a></td>
<td><a
href="https://scholar.google.com/citations?user=hrBeLVYAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Shea-Brown, Eric</td>
<td><a href="http://faculty.washington.edu/etsb/">nonlinear dynamics of
neurons, neural networks, and neural populations</a></td>
<td><a
href="http://faculty.washington.edu/etsb/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Stocco, Andrea</td>
<td><a
href="http://ilabs.washington.edu/institute-faculty/bio/i-labs-andrea-stocco-phd">research
concerns how human use abstract mental representations (like, rules,
instructions, and plans) to perform complex tasks. He uses computational
and mathematical models, neuroimaging techniques, and brain stimulation
methods determine and predict how these mental representations are
encoded in the brain, how they are transformed into behavior, and how
this knowledge can be used to improve learning and skill
acquisition</a></td>
<td><a href="http://depts.washington.edu/ccdl/?page_id=63">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Shlizerman, Eli</td>
<td><a href="http://faculty.washington.edu/shlizee/">development of
generic computational approaches and modeling actual biological and
physical systems</a></td>
<td><a
href="http://faculty.washington.edu/shlizee/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Witten, Daniela</td>
<td><a
href="https://faculty.washington.edu/dwitten/research.html">statistical
machine learning techniques for problems in genomics and
neuroscience</a></td>
<td><a
href="https://faculty.washington.edu/dwitten/research.html">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h4 id="u.s.-central">U.S. Central</h4>
<h5 id="university-of-chicago">University of Chicago</h5>
<ul>
<li><a
href="https://neuroscience.uchicago.edu/faculty">Neuroscience</a></li>
<li><a
href="https://biosciences.uchicago.edu/admissions/how-to-apply">Apply to
biosciences. Optional GRE @ Institution(1832).</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 83%" />
<col style="width: 11%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Amit, Yali</td>
<td><a href="https://galton.uchicago.edu/faculty/amit.shtml">The main
focus of my research is the formulation of statistical models for
objects. Although not extensively used in computer vision these emerge
as a powerful tool in developing recognition algorithms which allow for
proper modeling of object and data variability.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=yali+amit&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>?+</td>
</tr>
<tr class="even">
<td>Awh, Edward</td>
<td><a href="https://awhvogellab.com/people/">We study the interactions
between visual working memory and selective attention using
psychophysical and electrophysiological methods.</a></td>
<td><a href="https://awhvogellab.com/publications/">Lab</a></td>
<td>?+</td>
</tr>
<tr class="odd">
<td>Bensmaia, Sliman</td>
<td><a href="http://bensmaialab.org/">we record neuronal responses,
measure the elicited percepts, and develop mathematical models to link
the neuronal representations to behavior</a></td>
<td><a href="http://bensmaialab.org/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Bezanilla, Francisco</td>
<td><a href="http://nerve.bsd.uchicago.edu/FB/">search for the dynamics
of the molecular correlates of the function in membrane transport
proteins. This is being approached with physical techniques such as
temperature effects and complex capacitance measurements in the
frequency domain combined with mutations of the molecule and assessed by
gating currents, macroscopic currents and single molecule recordings.
The correlation with structural changes are being monitored with optical
techniques using real time fluorescence spectroscopy including
lifetimes, changes in intensity and fluorescence resonance energy
transfer from probes attached to strategic sites in the molecule of
interest while being functional in the membrane.</a></td>
<td><a
href="http://nerve.bsd.uchicago.edu/FB/project.htm#Publication">Lab</a></td>
<td>+?</td>
</tr>
<tr class="odd">
<td>Cacioppo, Stephanie</td>
<td><a href="https://braindynamics.uchicago.edu/">Combining
high-performance electrical neuroimaging, algorithms integrating brain
source localization, noise suppression and boostrapping with high
performance computing, and other methods the Brain dynamics laborator
offers cutting edge tools for the study of brain dynamics in social
species…Fields: High Performance Computing (HPC), Psychology,
Psychiatry, Neurology, and Cognitive and Social Neuroscience.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=Qm3akmwAAAAJ&amp;pagesize=100&amp;view_op=list_works">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Carillo, Robert</td>
<td><a href="https://www.carrillolab.com/research-1/">…to understand the
molecules and developmental programs that regulate neuronal development
and wiring</a></td>
<td><a href="https://www.carrillolab.com/publications/">Lab</a></td>
<td>?+</td>
</tr>
<tr class="odd">
<td>Dawson, Glyn</td>
<td><a href="https://glyndawsonlab.uchicago.edu/">…understand the role
of sphingolipids in how our brains work. Our techniques include
chromatography, mass-spectrometry, confocal microscropy, DNA
manipulation and a range of biochemical and genetic approaches.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Dawson+g+AND+Chicago%5Bad%5D+not+autism+not+psychiatric">PubMed</a></td>
<td>?=</td>
</tr>
<tr class="even">
<td>Decety, Jean</td>
<td><a href="https://voices.uchicago.edu/childneurosuite/">To
characterize the neural underpinnings of fairness and distributive
justice, and how they differ or not by cultural environment, we are
conducting EEG/ERP studies in the US, France, Mexico and
Taiwan.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=fbNxH6UAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>?=</td>
</tr>
<tr class="odd">
<td>Freedman, David L</td>
<td><a href="https://monkeylogic.uchicago.edu/">We use sophisticated
neurophysiological techniques to monitor the activity of neuronal
ensembles during behavioral tasks which require visual recognition,
decision making, and learning. To identify key computational mechanisms
used by the brain, we also employ advanced quantitative approaches such
as neural network modeling and machine learning.</a></td>
<td><a
href="https://monkeylogic.uchicago.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Hatsopoulos, Nicholas G.</td>
<td><a
href="https://pondside.uchicago.edu/oba/faculty/Hatsopoulos/lab/index.html">Our
approach has been to simultaneously record neural activity from large
groups of neurons using multi-electrode arrays while performing detailed
kinematic, kinetic, and muscle measurements of goal-directed, motor
behaviors, and to develop mathematical models that relate neural
activity with behavior. These mathematical models provide insights as to
what aspects of motor behavior are being encoded in cortical neurons,
but also can be used to decipher or “decode” neural activity in order to
predict movement which has practical implications for brain-machine
interface development.</a></td>
<td><a
href="https://pondside.uchicago.edu/oba/faculty/Hatsopoulos/lab/#publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Maunsell, John</td>
<td><a href="https://neurobiology.uchicago.edu/page/john-maunsell">Our
research is aimed at understanding how neuronal signals in visual
cerebral cortex generate perceptions and guide behavior. Our approach is
to record from individual neurons in trained, behaving monkeys and mice
while they perform visual tasks.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=4U1F6tcAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Palmer, Stephanie</td>
<td><a href="https://pondside.uchicago.edu/oba/faculty/palmer_s.html">I
study how populations of neurons collectively encode information present
in their inputs and how they perform computations on these signals. The
brain performs several classes of computation including signal
comparison, prediction, error correction, and learning. To investigate
these phenomena, I work with experimentalists on a variety of systems:
predictive coding in the retina and visual cortex of the rodent, motion
coding in area MT, and temporal coding in the zebra finch song
system.</a></td>
<td><a
href="https://scholar.google.com/citations?user=0gtvj54AAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Sheffield, Mark</td>
<td><a href="https://sheffieldlab.org/">The main goal of our lab is to
establish an empirically well-supported unifying model of the
neurobiology of complex memory formation and recall from the level of
synapses and dendrites to large-scale ensembles of neurons that is based
on data obtained from behaving animals engaged in memory-related
tasks.</a></td>
<td><a href="https://sheffieldlab.org/publications/">Lab</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>van Drongelen, Wim</td>
<td><a href="https://epilepsylab.uchicago.edu/">Epilepsy is a serious
neurological disease that affects a large population. To understand the
mechanisms underlying this disease we apply an interdisciplinary
approach that includes clinical studies from patients with epilepsy,
experimental models, computer simulations and mathematical
modeling.</a></td>
<td><a
href="https://epilepsylab.uchicago.edu/page/publications">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-illinois">University of Illinois</h5>
<ul>
<li><a
href="https://neuroscience.illinois.edu/research/research-overview/computational-neuroscience">Computational
Neuroscience</a></li>
<li><a
href="https://neuroscience.illinois.edu/admissions/graduate-school-application-0">No
school or department code for GRE, but GRE required for Neuroscience
admission.</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table style="width:100%;">
<colgroup>
<col style="width: 3%" />
<col style="width: 79%" />
<col style="width: 14%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Allen, Jont</td>
<td><a href="?">hearing/acoustics</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=sGfS_aUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Fuller, Rebecca (Becky)</td>
<td>My lab is broadly interested in ecology and evolution as it applies
to fishes.</td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=Y1cDGKYAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>-?</td>
</tr>
<tr class="odd">
<td>Gillette, Rhanor</td>
<td><a href="https://neuroscience.illinois.edu/profile/rhanor">Neuronal
mechanisms of decision in circuit, cell, metabolism, and genome;
Directed evolution of brain circuits for cognition and sociality;
Computational simulations of choice, esthetic sense, and emerging
behavioral complexity; Comparative neurobiology of the predatory
sea-slug Pleurobranchaea and the octopus</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Rhanor+Gillette&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Llano, Daniel</td>
<td><a href="https://neuroscience.illinois.edu/profile/d-llano">One
specific set of issues that we address concerns the role of different
cortical subnetworks in complex sound processing. For example, neurons
in both cortical layer 5 and cortical layer 6 project to subcortical
structures, and the neurons in these layers have very different
intrinsic, integrative and synaptic properties. Our work explores the
different roles that these groups of neurons play in the processing of
complex sound</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=wDfcEWIAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Lopez-Ortiz, Citlali</td>
<td><a href="http://danceneuroscience.kch.illinois.edu/">Our research is
interdisciplinary and involves the areas of dance, biomechanics,
mathematical modeling, motor control, motor learning, physics,
body-environment interfaces, mixed media, computational neuroscience,
neurophysiology, and rehabilitation</a></td>
<td><a
href="http://danceneuroscience.kch.illinois.edu/research">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Nelson, Mark E.</td>
<td><a
href="https://mcb.illinois.edu/faculty/profile/m-nelson/">Research in
the lab is focused on active sensory acquisition. We seek to understand
neural mechanisms and computational principles that animals use to
actively acquire sensory information in complex, dynamic
environments</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=wr4PHUUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Vlasov, Yurii</td>
<td><a
href="https://neuroscience.illinois.edu/profile/yvlasov">Behaviorial
paradigms in virtual reality to study neural circuits in almost natural
environment while mice are engaged in goal-directed behavior. Virtual
reality systems allow full control over behaviorial tasks and
quantitative measurements of resulting behavior. Neuroanatomy leveraging
new viral, genetic, and computational tools to provide insights into
brain circuits functionality. Machine learning based analytical methods
to extract dynamical patterns of neural activity that are correlated
with animal behavior and choice</a></td>
<td><a
href="https://www.integratedneurotech.com/neuro-informatics">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-iowa">University of Iowa</h5>
<ul>
<li><a
href="https://grad.admissions.uiowa.edu/academics/neuroscience-phd">Neuroscience
Ph.D.</a></li>
<li><a
href="https://neuroscience.grad.uiowa.edu/prospective-students">Apply to
joint graduate program in neuroscience. No GRE requirement?</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 1%" />
<col style="width: 10%" />
<col style="width: 73%" />
<col style="width: 11%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Department</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Abel, Ted</td>
<td>Molecular Physiology and Biophysics</td>
<td><a href="https://tedabel.lab.uiowa.edu/research">The primary focus
of research in the Abel lab is to understand the cellular and molecular
mechanisms of long-term memory storage with a focus on the mammalian
hippocampus.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=ubOEBGYAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Baek, Stephen</td>
<td>Mechanical &amp; Industrial Engineering</td>
<td><a href="http://user.engineering.uiowa.edu/~sbaek//about.html">I’m
interested in mathematical representations and algorithms for learning
trends and patterns in geometric objects. For my research, I have a lot
of fun with photographs, videos, depth images, 3D models/scans, and
medical images.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=dr2krBsAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+ (not so much neuroscience)</td>
</tr>
<tr class="odd">
<td>Boes, Aaron</td>
<td>Neurology</td>
<td><a
href="https://boes.lab.uiowa.edu/neuroimaging-and-noninvasive-brain-stimulation-lab">Our
laboratory is interested in the link between brain structure and
function across the lifespan, particularly network-based localization of
neurological and psychiatric symptoms. We approach this topic using
multi-modal neuroimaging methods that include lesion mapping, resting
state functional connectivity MRI, and structural MRI.</a></td>
<td><a href="https://boes.lab.uiowa.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Carmichael, Gregory</td>
<td>Chemical and Biochemical Engineering</td>
<td><a
href="https://www.engineering.uiowa.edu/faculty-staff/gregory-carmichael">Air
quality and atmospheric chemistry modeling; Data assimilation; Chemical
weather forecasting</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=MHbvpzAAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="odd">
<td>Casavant, Thomas</td>
<td>Biomedical Engineering</td>
<td><a
href="https://www.engineering.uiowa.edu/faculty-staff/thomas-casavant">Bioinformatics;
Computational biology; Genome sequence analysis; Software tools for
human disease mutation identification; Computer architecture; Parallel
processing; Distributed computing; Software engineering</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=4uiMIaEAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+?</td>
</tr>
<tr class="even">
<td>Chipara, Octav</td>
<td>Mathematics</td>
<td><a
href="https://sites.google.com/site/ochipara/research">Context-Sensitive
Assessment of Real-World Listening Situations via Integrated Smartphones
and Hearing Aids; Contents and Contexts of Cyberbullying: An
Epidemiologic Study using Electronic Detection and Social Network
Analysis</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=uBbYp8gAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="odd">
<td>Christensen, Gary E.</td>
<td>Electrical and Computer Engineering</td>
<td><a
href="https://www.engineering.uiowa.edu/faculty-staff/gary-e-christensen">My
research involves developing new image registration methods for
customizing electronic anatomical atlases, automatic segmentation,
modeling anatomical shape for the characterization of normalcy and
disease, and brain mapping.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=7h--HFoAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+?</td>
</tr>
<tr class="even">
<td>Cromwell, John W.</td>
<td>Surgery, Informatics</td>
<td><a
href="https://medicine.uiowa.edu/surgery/profile/john-cromwell">Dr. Cromwell’s
research group focuses on the application of artificial intelligence,
machine learning, predictive analytics, and medical devices to improving
the quality and safety of surgical care. Non-invasive devices for
predicting postoperative ileus and for screening for delirium are
currently undergoing commercialization.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=c4UXAk8AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Darbro, Benjamin</td>
<td>Pediatrics</td>
<td><a
href="https://medicine.uiowa.edu/pediatrics/profile/benjamin-darbro">My
research concerns the emerging field of genomic medicine. In the
clinical laboratory we are interested in how new high throughput
technologies can be applied in a clinically appropriate fashion. We are
particularly interested in the clinical laboratory application and
quality control of whole genome single nucleotide polymorphism (SNP)
arrays, comparative genomic hybridization (CGH) arrays and whole genome
and/or exome high throughput DNA sequencing. In the research laboratory
our focus is on discovering genetic determinants of intellectual
disability/cognitive developmental delay as well as recurrent genomic
aberrations in both solid tumors and hematopoietic malignancies that can
aid in diagnosis, prognosis, and therapeutic decision making.</a></td>
<td><a
href="https://scholar.google.com/scholar?hl=en&amp;as_sdt=0,5&amp;q=%22benjamin+darbro%22&amp;scisbd=1">Google</a></td>
<td>-?</td>
</tr>
<tr class="even">
<td>Darcy, Isabel K.</td>
<td>Mathematics</td>
<td>Knot theory, DNA Knots, Modelling?</td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=isabel+k+darcy&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>=?</td>
</tr>
<tr class="odd">
<td>Dietrich, Bryce</td>
<td>Political Science</td>
<td><a href="https://clas.uiowa.edu/polisci/people/bryce-dietrich">Bryce
Dietrich’s research uses novel quantitative, automated, and machine
learning methods to analyze non-traditional data sources such as audio
(or speech) data and video data. He uses these techniques to understand
the causes and consequences of elite emotional expressions in a variety
of institutional settings, with a particular emphasis on non-verbal
cues, such as vocal pitch</a></td>
<td><a href="http://www.brycejdietrich.com/research.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Freeman, John</td>
<td>Psychological and Brain Sciences</td>
<td><a
href="https://psychology.uiowa.edu/neuroscience-learning-lab/research">A
major focus of our research is to identify neural circuit interactions
that contribute to motor learning in rats. We are currently examining
interactions between the prefrontal cortex, amygdala, and cerebellum
during motor learning. Techniques used in our lab include multiple
tetrode recording, multisite recording, optogenetics, DREADDs,
functional imaging, various neuroanatomy methods, electrical
stimulation, and localized drug infusions in the brain.</a></td>
<td><a
href="https://psychology.uiowa.edu/neuroscience-learning-lab/publications">Lab</a></td>
<td>+?</td>
</tr>
<tr class="odd">
<td>Jacob, Mathews</td>
<td>Electrical and Computer Engineering</td>
<td><a
href="http://research.engineering.uiowa.edu/cbig/content/research">Model
Based Deep Learning (We introduce a model-based image reconstruction
framework with a convolution neural network (CNN) based regularization
prior). Continuous domain compressed sensing (In particular, we
reformulate sparse recovery of continuous domain signal as a low-rank
matrix completion problem in the spectral domain, thus providing the
benefit of sparse recovery with performance guarantees.). Learned image
representations for multidimensional imaging. Free breathing &amp;
ungated cardiac MRI using manifold models….</a></td>
<td><a
href="http://research.engineering.uiowa.edu/cbig/content/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Johnson, Hans</td>
<td>Electrical and Computer Engineering</td>
<td><a href="https://medicine.uiowa.edu/psychiatry/sinapse/">SINAPSE is
an interdisciplinary team of computer scientists, software engineers,
and medical investigators who develop computational tools for the
analysis and visualization of medical image data. The purpose of the
group is to provide the infrastructure and environment for the
development of computational algorithms and open-source technologies,
and then oversee the training and dissemination of these tools to the
medical research community.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=QOjKEt0AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Koylu, Caglar</td>
<td>Geographical and Sustainability Sciences, Geoinformatics</td>
<td><a
href="https://clas.uiowa.edu/geography/people/caglar-koylu">GIScience,
spatial data science, information visualization, human-computer
interaction, mobility and geo-social networks</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=sYeUuDQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Magnotta, Vincent A.</td>
<td>Radiology, Psychiatry, Biomedical Engineering</td>
<td><a
href="https://medicine.uiowa.edu/radiology/profile/vincent-magnotta">I
am interested in the development of novel imaging approaches and
analysis strategies to better understand psychiatric and neurological
brain disorders. My work in image acquisition focuses on diffusion
tensor imaging and chemical shift imaging. I am also working on methods
to automate the analysis of brain morphology and incorporating these
tools into diffusion tensor and chemical shift imaging.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=EguIOioAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+?</td>
</tr>
<tr class="odd">
<td>Michaelson, Jacob J.</td>
<td>Psychiatry, Neuroscience, Computational and Molecular Psychiatry,
Communication Sciences and Disorders, Biomedical Engineering</td>
<td><a href="https://michaelson.lab.uiowa.edu/">We are interested in the
use of computing to improve the understanding, diagnosis, monitoring,
and treatment of neuropsychiatric and neurodevelopmental conditions. To
do this, we build predictive models that draw on a wide variety of data
types: including genomics, medical records, imaging, body movement, and
standardized test scores, among many others. We have
extramurally-supported research programs involving computational
methodology, human subjects research, and animal models.</a></td>
<td><a href="https://michaelson.lab.uiowa.edu/publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Nopoulos, Peggy C.</td>
<td>Psychiatry, Neurology, Pediatrics</td>
<td><a href="https://nopoulos.lab.uiowa.edu/">The Peg Nopoulos
Laboratory conducts research that is designed to evaluate brain
development and its relationship to long term behavioral, cognitive, and
emotional outcome. Our studies investigate the impact of various medical
conditions throughout the lifespan – from shortly after birth to mature
adulthood. In particular, much of our work focuses on inherited brain
disease with adult onset.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2019&amp;q=Peggy+C.+Nopoulos&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>-?</td>
</tr>
<tr class="odd">
<td>O’Leary, Daniel</td>
<td>Psychiatry, Psychology</td>
<td><a
href="https://medicine.uiowa.edu/psychiatry/profile/daniel-oleary">Current
research explores the neural basis of the genetic vulnerability of
children (ages 13 - 18 of alcoholics). Another project assesses the
effects of marijuana on brain blood flow and cognition. Both research
areas involve purely behavioral assessment of cognitive functions such
as attention and memory, as well as neuroimaging studies performed
during cognitive task performance. We are assessing blood flow with
positron emission tomography (PET) during cognitive task performance in
schizophrenic patients, normal volunteers, and marijuana users.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=bVmokLUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>-?</td>
</tr>
<tr class="even">
<td>Parker, Krystal L.</td>
<td>Psychiatry</td>
<td><a href="https://parker.lab.uiowa.edu/">My long-term goal is to
understand the cerebellar contribution to cognitive and affective
processes. In pursuit of this goal, I combine neurophysiology,
pharmacology and optogenetics in animals performing behavioral tasks to
dissect cerebellar neural circuitry. I study the potential for
cerebellar stimulation to rescue cognitive impairments and mood in
humans using EEG but also in animals with pharmacologically- and
genetically-induced phenotypes of disease. My training in psychology,
systems neurophysiology, and clinical psychiatry allows me to target the
cerebellum for novel treatments of diseases involving cognitive and
affective dysfunction.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=KlAGhpIAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Paulsen, Jane</td>
<td>Psychiatry, Neurology, Psychological &amp; Brain Sciences</td>
<td><a
href="https://psychology.uiowa.edu/people/jane-paulsen">Huntington’s
disease, Alzheimer’s disease, schizophrenia, dementia, psychoses,
tardive dyskinesia, neuropsychological features and correlates of the
above.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=mzO_jcQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Schnieders, Michael J.</td>
<td>Biomedical Engineering</td>
<td><a
href="https://www.engineering.uiowa.edu/sites/www.engineering.uiowa.edu/files/person/cv/michael_j_schnieders_cv.pdf">My
research interests are focused on the molecular biophysics theory and
high performance computational algorithms that are essential to reducing
the time and cost of engineering new pharmaceuticals. A complementary
goal is to understand patient specific responses to pharmaceuticals by
integrating genetic information and molecular phenotypes.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=sXWbF2sAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Shinozaki, Gen</td>
<td>Psychiatry, Neurosurgery</td>
<td><a href="https://shinozaki.lab.uiowa.edu/">The Shinozaki Laboratory
studies the molecular influence of environmental factors such as trauma,
stress, and inflammation on individual susceptibility to psychiatric
conditions including major depressive disorder (MDD), post-traumatic
stress disorder (PTSD), and delirium using epigenetic/genetic approaches
as well as a medical engineering approach through device development and
machine learning.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Shinozaki+G">PubMed</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Sonka, Milan</td>
<td>Electrical and Computer Engineering</td>
<td><a
href="http://user.engineering.uiowa.edu/~sonka/research.php">Research
interests include medical imaging, image segmentation, and automated
knowledge-based image analysis in a variety of applications and in
various image modalities.</a></td>
<td><a
href="https://scholar.google.co.in/citations?hl=en&amp;user=ve3AkSIAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Srinivasan, Padmini</td>
<td>Computer Science</td>
<td><a
href="http://homepage.cs.uiowa.edu/~psriniva/newsite/index.html">Information
Retrieval &amp; NLP - Text Mining - Web Mining - Biomedical Text Mining
- Privacy/Security &amp; Censorship - Social Media Analytics (Politics,
Health Beliefs) - Crowdsourcing &amp; Games</a></td>
<td><a
href="http://homepage.cs.uiowa.edu/~psriniva/newsite/papers-page.html">Lab</a></td>
<td>-?</td>
</tr>
<tr class="even">
<td>Stewart, David</td>
<td>Mathematics</td>
<td><a
href="http://homepage.divms.uiowa.edu/~dstewart/index.html">Numerical
Analysis, Mathematical Modeling, Scientific Computing, Optimization,
Optimal Control</a></td>
<td><a
href="http://homepage.divms.uiowa.edu/~dstewart/des_publns.html">Lab</a></td>
<td>-?</td>
</tr>
<tr class="odd">
<td>Strathearn, Lane</td>
<td>Behavioral Pediatrics</td>
<td><a
href="https://medicine.uiowa.edu/pediatrics/profile/lane-strathearn">My
lab aims to explore the neurobiology of early attachment relationships
using functional MRI and other neurophysiological and endocrine
measures. This includes projects examining brain and behavioral
responses of drug addicted mothers, and how intranasal oxytocin may
impact maternal responses. This research has been funded by the National
Institute of Child Health and Human Development and the National
Institute of Drug Abuse. We have also published on the effects of
intranasal oxytocin on children and adolescents with autism.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/sites/myncbi/lane.strathearn.1/bibliography/41163872/public/?sort=date&amp;direction=descending">NIH</a></td>
<td>-?</td>
</tr>
<tr class="even">
<td>Vaidya, Jatin</td>
<td>Psychiatry</td>
<td><a href="https://cognitive-brain.lab.uiowa.edu/">The laboratory uses
state-of-the-art functional imaging tools such as functional magnetic
resonance imaging (fMRI) and positron emission tomography (PET) as well
as advanced structural imaging protocols (e.g., diffusion weighted
imaging) in conjunction with neuropsychological tests and personality
assessments.</a></td>
<td><a
href="https://scholar.google.co.in/scholar?as_ylo=2019&amp;q=Jatin+Vaidya&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>-?</td>
</tr>
<tr class="odd">
<td>Wemmie, John</td>
<td>Psychiatry, Molecular Physiology and Biophysics, Neurosurgery</td>
<td><a href="https://wemmie.lab.uiowa.edu/">John Wemmie, MD, PhD,
professor in the Department of Psychiatry at the University of Iowa, is
interested in the role of brain pH and acid-sensing ion channels in
brain function and behavior. This work has led to the discovery of
critical roles for brain pH in synaptic plasticity, anxiety, and
depression-related behaviors in mice. Current projects include
investigating the synaptic mechanisms for acid-sensing ion channel
action and also translating these discoveries to human behavior and
brain function. For example, his laboratory is using non-invasive
pH-sensitive magnetic resonance imaging to investigate the roles of
brain pH in psychiatric illnesses such as panic disorder and bipolar
affective disorder.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=HEr04BQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Williams, Aislinn</td>
<td>Psychiatry</td>
<td><a href="https://williams.lab.uiowa.edu/">The Williams lab is
interested in understanding the molecular and cellular mechanisms by
which genetic risk factors contribute to psychiatric disease from a
developmental perspective. Our current projects focus on voltage-gated
calcium channel genes, which have been linked to the risk of developing
bipolar disorder, schizophrenia, depression, and autism. We use induced
pluripotent stem cells and transgenic mouse models to study how calcium
channel gene SNPs alter neuronal development, neural circuit function,
and affective behavior. We employ a wide range of approaches, including
molecular biology, live cell imaging, neuropathology, and animal
behavioral assessments, to try to unravel the developmental pathways
involved in neuropsychiatric disease, in the hope of identifying novel
treatment targets.</a></td>
<td><a href="https://williams.lab.uiowa.edu/publications">Lab</a></td>
<td>=?</td>
</tr>
</tbody>
</table>
</div>
<h5 id="indiana-university">Indiana University</h5>
<p><a
href="https://neuroscience.indiana.edu/research/core-research-areas/cognitive-computational.html">Cognitive
and Computational Neuroscience</a></p>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table style="width:100%;">
<colgroup>
<col style="width: 2%" />
<col style="width: 84%" />
<col style="width: 10%" />
<col style="width: 1%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Beer, Randall D.</td>
<td><a href="http://mypage.iu.edu/~rdbeer/">I work on the evolution and
analysis of dynamical “nervous systems” for model agents,
neuromechanical modeling of animals, biologically-inspired robotics, and
dynamical systems approaches to behavior and cognition. More generally,
I am interested in computational and theoretical biology, including
models of metabolism, gene regulation and development</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=F_J8QyAAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Beggs, John M.</td>
<td><a href="http://www.beggslab.com/">Our work focuses on understanding
how groups of brain cells work together to process information. We
approach this topic by using advanced arrays with hundreds of tiny wires
to eavesdrop on electrical signals within small pieces of brain tissue.
To try and explain how networks of interacting brain cells give rise to
patterns of signals, we borrow ideas from statistical physics, where the
self-organized patterns of multiple interacting particles have been
well-studied.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=y9X4_AkAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Bertenthal, Bennett I.</td>
<td><a
href="https://psych.indiana.edu/directory/faculty/bertenthal-bennett.html">My
research focuses on the origins, development, and basic processing
mechanisms involved in the perception and representation of actions by
social and non-social stimuli.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=RoPQHxEAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Betzel, Richard</td>
<td><a href="https://www.brainnetworkslab.com/">Our work involves
analysis of network data at different spatial, temporal, and topological
scales. Our goal is to understand the underlying principles that shape
the organization and function of biological neural networks.</a></td>
<td><a
href="https://www.brainnetworkslab.com/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Brown, Joshua W.</td>
<td><a href="https://ccsrv1.psych.indiana.edu/cclab/">The mission of the
Cognitive Control Lab is to identify and characterize the neural
mechanisms of goal directed behavior. To this end, we focus on the
frontal lobes, and especially the medial prefrontal cortex. Our research
involves a tight integration of computational neural modeling,
functional MRI, and cognitive psychology.</a></td>
<td><a
href="https://ccsrv1.psych.indiana.edu/cclab/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Busey, Thomas</td>
<td><a href="http://cognitrn.psych.indiana.edu/busey/HomePage/">visual
perception; recognition memory; face recognition EEG analysis of face
and object perception; mathematical modeling techniques applied to above
domains</a></td>
<td><a
href="http://cognitrn.psych.indiana.edu/busey/HomePage/pubs.htm">Personal</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Farley, Joseph</td>
<td><a
href="https://psych.indiana.edu/directory/faculty/farley-joseph.html">cellular
and molecular mechanisms of learning and memory; neurobiology of
behavior; excitable membranes/ion channels; neurobiology of nicotine
abuse and addiction; molecular bases of signal transduction;
computational models of neuronal excitability</a></td>
<td><a
href="https://scholar.google.com/scholar?hl=en&amp;as_sdt=0%2C5&amp;as_ylo=2018&amp;q=Joseph+Farley&amp;btnG=">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Garyfallidis, Eleftherios</td>
<td><a href="https://grg.sice.indiana.edu/">Prof. Garyfallidis is
leading a new lab for Neuroengineering at ISE specializing in the
developing of new methods and intelligent algorithms for medical imaging
and brain mapping with applications to research, clinic and
industry.</a></td>
<td><a href="https://grg.sice.indiana.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Izquierdo, Eduardo</td>
<td><a href="http://mypage.iu.edu/~edizquie/">My research interest is in
understanding the neural basis of behavior, as it arises from the
interaction between the organism’s nervous system, its body, and its
environment. I combine connectome graph analysis, neural network
simulations, evolutionary algorithms for optimization, taking into
account experimental observations, and mathematical analysis, including
information theory and dynamical systems theory, to generate and
understand complete brain-body-environment models of simple but
biologically and cognitively interesting behaviors.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=KWCQjl0AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>James, Thomas W.</td>
<td><a
href="https://psych.indiana.edu/directory/faculty/james-thomas.html">Object
recognition and categorization; Perceptual decision making; Functional
neuroimaging; Sensory integration; Visual, somatosensory and auditory
perception; Priming, adaptation, and perceptual learning</a></td>
<td><a
href="https://scholar.google.com/scholar?hl=en&amp;as_sdt=0%2C5&amp;as_ylo=2018&amp;q=Thomas+W.+James&amp;btnG=">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Jones, Michael</td>
<td><a href="https://www.compcog.com/">Large-Scale Semantic Modeling;
Large-Scale Automated Synthesis of Human Functional Neuroimaging Data;
Integrating Linguistic and Perceptual Information in Models of Lexical
Semantics; Model-Based Guided Retrieval Practice Systems; Understanding
linguistic and semantic development via naturalistic child-directed
data; Retrieval Operations from Episodic and Semantic Memory…</a></td>
<td><a href="https://www.compcog.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td></td>
<td><a href="https://mandymejia.wordpress.com/research/">I am interested
in the development of statistical methods for the analysis of brain
imaging data. My recent or ongoing projects include: High-dimensional
outlier detection methods for artifact removal in fMRI data; Empirical
Bayes shrinkage estimation of subject-level resting-state functional
connectivity; Bayesian spatial modeling in task activation studies using
cortical surface fMRI; Empirical Bayesian techniques to account for
spatial dependence in fMRI task activation studies; Leveraging big fMRI
datasets for estimation of subject-level and group-level resting-state
networks through “template” independent component analysis (ICA);
Synthesis of quantitative structural MR images (e.g. quantitative T1
maps, DTI, MTR) using conventional sequences (e.g. T1-weighted and
FLAIR)</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=HS9XWtAAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Newman, Ehren</td>
<td><a href="http://www.iu.edu/~memlab/">How do neural circuits give
rise to human memory? To answer this question, our group combines
optogenetics, pharmacology and behavioral manipulations with
high-density tetrode and depth-probe recordings of neural activity in
awake behaving rats. We are most interested in areas known as the
hippocampus, medial septum, and entorhinal cortex which have all been
shown to play important roles in memory in humans and animals. We use
computational modeling to bridge this experimental work and human memory
processing. Our work suggests that neural rhythms allow the brain to
code, manipulate and store information and that these dynamics are
regulated by acetylcholine.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed?term=Newman%20EL%5BAuthor%5D">PubMed</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Pisoni, David P.</td>
<td><a href="http://www.iu.edu/~srlweb/">Our long-term goal is to
provide broad interdisciplinary research training in the Communication
Sciences and Disorders and to encourage novel and creative approaches to
basic and clinical research problems in Speech, Hearing and Sensory
Communication.</a></td>
<td></td>
<td>=</td>
</tr>
<tr class="odd">
<td></td>
<td><a
href="https://psych.indiana.edu/directory/faculty/shiffrin-richard.html">Cognition
and modeling of cognition; Machine learning; Computational Statistics;
Learning; Memory; Sensory coding; Information retrieval; Attention and
automatism; Organization and structore of memory; Control processes in
memory; Decision theory; Optimal decision making; Rationality and
reasoning; Vision processing and visual features; Psychological
representation, mathematical and computer models of the various content
areas listed above.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Richard+Shiffrin&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Sporns, Olaf</td>
<td><a href="http://www.indiana.edu/~cortex/">To make sense of the brain
as a complex system we employ a broad range of analysis and modeling
techniques, particularly methods coming from computational neuroscience,
graph theory, time series analysis, complexity and information
theory.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=gzPWwdIAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Swanson, William H.</td>
<td><a
href="https://optometry.iu.edu/people-directory/swanson-william.html">Need
detailed info</a></td>
<td><a
href="https://scholar.google.com/scholar?hl=en&amp;as_sdt=0%2C5&amp;as_ylo=2018&amp;q=WH+Swanson&amp;btnG=">Google</a></td>
<td>?</td>
</tr>
</tbody>
</table>
</div>
<h5 id="university-of-minnesota">University of Minnesota</h5>
<ul>
<li><a
href="http://www.neuroscience.umn.edu/areas-research/computational-neuroscience">Computational
Neuroscience</a></li>
<li><a
href="http://www.neuroscience.umn.edu/admissions/application-and-admissions-information">Neuroscience
graduate admission</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 1%" />
<col style="width: 84%" />
<col style="width: 11%" />
<col style="width: 1%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Amirikian, Bagrat</td>
<td><a
href="http://www.neuroscience.umn.edu/people/bagrat-amirikian-phd">My
current research interests are focused on two related issues: (i)
deciphering the local cortical circuitry from the spatial structure of
axonal and dendritic arbors of pre- and post-synaptic cell-pairs and
their distribution across cortical layers, and (ii) understanding how
these local circuits give rise to functional modules, and how they shape
the underlying cortical dynamics.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed/?term=bagrat+amirikian">PubMed</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Kersten, Daniel</td>
<td><a
href="http://www.neuroscience.umn.edu/people/daniel-j-kersten-phd">My
lab uses behavioral and and brain imaging to investigate how the visual
pathways of the brain transform image information into useful actions
(Bloj et al., 1999, Murray et al., 2002). A major theoretical challenge
is to discover the computational principles required to estimate object
properties and determine motor output from image features. Computational
vision searches for these solutions (Kersten and Yuille, 2003). The
experimental challenge is to discover how our visual systems and those
of other animals are built to achieve useful actions from the images
received.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed?cmd=PureSearch&amp;term=%28Kersten%20D%5BAuthor%5D%20%20AND%20%20%28%22minnesota%22%29%29">PubMed</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Lim, Hubert</td>
<td><a
href="http://www.neuroscience.umn.edu/people/daniel-j-kersten-phd">The
goal of my lab is to push the development and translation of
brain-machine interfaces from scientific concept into clinical
application with close collaboration with clinicians and industry.
Brain-machine interfaces span a broad array of applications and consist
of either direct connection of a device to neurons within the brain or
neural communication through noninvasive techniques, such as EEG
recordings and transcranial magnetic stimulation.</a></td>
<td><a
href="http://www.neuroscience.umn.edu/people/hubert-lim-phd">PubMed</a></td>
<td>-</td>
</tr>
<tr class="even">
<td>Olman, Cheryl</td>
<td><a href="http://vision.psych.umn.edu/users/caolman/">Employing a
combination of visual psychophysics and fMRI, I want to determine how
detection of local image features interacts with scene perception. How
are local features in an image selected and grouped to construct a
mental representation of a scene or object? To what extent do internal
templates determine feature selection and shape perception?</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/myncbi/browse/collection/45113341/">PubMed</a></td>
<td>=</td>
</tr>
<tr class="odd">
<td>Redish, David</td>
<td><a href="http://www.neuroscience.umn.edu/people/david-redish-phd/">I
am interested in questions of how neural structures work together to
create systems able to accomplish behavioral tasks. Our primary current
projects are in the interaction between multiple learning systems (such
as hippocampus, cortex, and striatum) in the ability to make decisions,
particularly deliberative decisions.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/myncbi/browse/collection/41152826/?sort=date&amp;direction=ascending">PubMed</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Schrater, Paul</td>
<td><a
href="http://www.neuroscience.umn.edu/people/paul-schrater-phd">My
research interests include human and computer vision, planning and
guiding reaches with and without visual information, and the integration
of visual, haptic, and motor information during the perception-action
cycle. My research approach treats problems in vision and motor control
as problems of statistical inference, which has led to a concurrent
interest in statistical methods that includes Bayesian (Belief)
Networks, Dynamic Markov Decision Networks, Pattern Theory, Machine
Learning, and other topics in statistics and pattern
recognition.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed?cmd=PureSearch&amp;term=%28Schrater%20PR%5BAuthor%5D%20%20AND%20%20%28%22minnesota%22%29%29">PubMed</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Vinogradov, Sophia</td>
<td><a
href="http://www.neuroscience.umn.edu/people/sophia-vinogradov-md">Dr. Sophia
Vinogradov directs a translational clinical neuroscience laboratory that
focuses on cognitive dysfunction in schizophrenia. In collaboration with
basic scientists, she studies neuroscience-informed computerized
cognitive training exercises for patients with schizophrenia that aim to
drive enduring plastic changes in cortical processing. The training
programs utilize adaptive algorithms to adjust the difficulty level to
maintain a 70-80% correct performance rate, allowing for a customized
approach to each individual’s initial performance level and progress
rate. Spanning several aspects of cognitive functioning, the exercises
fine tune sensory processing speed, working memory, and attention as
well as higher-order cognitive processes. In turn, this results in
significant improvements in untrained cognitive skills as well as
improvements in quality of life.</a></td>
<td><a
href="https://scholar.google.com/citations?user=kbU8I1UAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Wilcox, George</td>
<td><a
href="http://www.neuroscience.umn.edu/people/george-l-wilcox-phd">Dr. Wilcox
and colleagues are engaged in research into the spinal neurotransmission
of pain and mechanisms underlying hyperalgesia, analgesia and analgesic
tolerance. Studies of both excitatory and inhibitory neurotransmission
in the rodent spinal cord apply behavioral, lectrophysiological (both in
vivo and in vitro), immunocytochemical and molecular techniques.
Dr. Wilcox facilitates access for Neuroscience students to high
performance computing laboratories on campus: The Laboratory for
Computational Science &amp; Engineering and The Minnesota Supercomputer
Institute (MSI). High performance computers and visualization are now
finding applications in biological imaging, macromolecular modeling and
neuronal simulation.</a></td>
<td><a
href="http://www.neuroscience.umn.edu/people/george-l-wilcox-phd">PubMed</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Zilverstand, Anna</td>
<td><a
href="http://www.neuroscience.umn.edu/people/anna-zilverstand-phd">Dr. Zilverstand
is a psychologist and neuroimaging expert, faculty in the Department of
Psychiatry and Behavioral Science and member of the Medical Discovery
Team on Addiction. She leads an interdisciplinary team focused on
investigating how individual differences contribute to human drug
addiction. Her research group analyzes existing large-scale multimodal
data sets, in addition to acquiring their own data by employing a
variety of techniques such as interviewing, neurocognitive testing,
questionnaires and multi-modal neuroimaging. Novel computational methods
are employed for linking social, demographic, neurocognitive,
personality and clinical measures to the neuroimaging data, to explore
the existence of neurobiological subtypes within the addicted
population.</a></td>
<td><a
href="https://scholar.google.com/citations?user=jg5A1hwAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Zimmerman, Jan</td>
<td><a
href="http://www.neuroscience.umn.edu/people/jan-zimmermann-phd">The
primary research goal of the Z-LAB is to better understand decision
making. Making a choice, independent of it being a complex decision
about your retirement allocations or which flavor of ice-cream to pick,
is the normative consequence of any behavior that is observable. To
understand this process, we combine a multitude of tools that allow us
to study neural function of non human primates associated to decision
making. We combine single cell electrophysiology, computational modeling
of neural responses as well as careful behavioral analysis and ultra
high field functional magnetic resonance imaging.</a></td>
<td><a
href="http://www.neuroscience.umn.edu/people/jan-zimmermann-phd">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h4 id="u.s.-east">U.S. East</h4>
<h5 id="boston-university">Boston University</h5>
<ul>
<li><a
href="https://www.bu.edu/neuro/academics/graduate/curriculum/computational-neuroscience/">Computational
Neuroscience</a></li>
<li><a
href="https://www.bu.edu/neuro/apply/request-for-application-materials/">Apply
directly through the Graduate Portal for Neuroscience</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 4%" />
<col style="width: 81%" />
<col style="width: 11%" />
<col style="width: 3%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Chandrasekaran, Chandramouli</td>
<td><a href="http://sites.bu.edu/chandlab/">Understanding how the
primate brain makes decisions based on sensory input and guides limb
movement. Extensive evidence from stroke patients and
physiological/lesion studies in humans suggest that a part of the brain
called the dorsal premotor cortex is involved in selecting the
appropriate limb movement on the basis of the sensory input.</a></td>
<td><a
href="https://scholar.google.com/citations?user=3Yeb98kAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Eden, Uri</td>
<td><a
href="http://www.bu.edu/math/people/faculty/probability-and-statistics/eden/">Developing
mathematical and statistical methods to analyze neueral spiking activity
by developing a methodological, statistical framework and applying them
to point process observations.</a></td>
<td><a
href="https://scholar.google.com/citations?user=M8rzdnwAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Kon, Mark</td>
<td><a href="http://math.bu.edu/people/mkon/">Quantum probability and
information, bioinformatics, machine and statistical learning,
mathematical physics, mathematical and computational neuroscience,
complexity theory, and wavelets.</a></td>
<td><a
href="https://scholar.google.com/citations?user=wVPc21cAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Kopell, Nancy</td>
<td><a
href="https://www.bu.edu/eng/profile/nancy-kopell-ph-d/">Understanding
how the dynamical properties of local networks help to filter and
transform the patterned input form other parts of the nervous system, to
provide clues to the function of dynamics in the nervous
system.</a></td>
<td><a
href="https://scholar.google.com/citations?user=mbDmBBsAAAAJ&amp;hl=en">Google</a></td>
<td>-</td>
</tr>
<tr class="odd">
<td>Kramer, Mark</td>
<td><a
href="https://www.bu.edu/math/people/faculty/mathematical-biology-and-neuroscience/kramer/">His
research focuses on interdisciplinary topics in mathematical
neuroscience with particular emphasis on biophysical models of neural
activity and data analysis techniques. He is currently interested in
medical applications and networks in neuroscience.</a></td>
<td><a
href="https://scholar.google.com/citations?user=gn4NeQkAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Scott, Ben</td>
<td><a href="https://www.bu.edu/csn/profile/ben-scott/">Develop and
apply new technologies to study the neural basis of cognition and
complex learned behavior through biomedical engineering, particularly
the development of novel optical imaging and genetic methods to observe
and perturb the activity of neurons in their native habitat – the intact
brains of living organisms - and neuroethology, the study of brain
circuits that underlie natural behaviors in order to elucidate basic
principles of brain function.</a></td>
<td><a
href="https://www.scottcognitionlab.com/publications">Lab</a></td>
<td>-</td>
</tr>
</tbody>
</table>
</div>
<h5 id="brandeis-university">Brandeis University</h5>
<ul>
<li><a
href="https://www.brandeis.edu/neuroscience/graduate/apply/index.html">Ph.D. GREs
not required. Letters of recommendation are important.</a></li>
<li>See also: <a
href="http://www.bio.brandeis.edu/sloan/index.html">Sloan-Swartz Center
for Theoretical Neuroscience</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 83%" />
<col style="width: 12%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Epstein, Irving</td>
<td><a href="http://hopf.chem.brandeis.edu/">The overall goal of our
research is to understand, design and control chemical systems that
exhibit complex, nonlinear, dynamic behavior in time and space. This
behavior includes periodic oscillation, chaos, wave propagation and
pattern formation. Such systems may have important applications to, or
provide insights into, related phenomena in biology, physics,
mathematics, polymer and materials science. We employ a variety of
techniques, both experimental and theoretical, in our work.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=YZxj3HwAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Jadhav, Shantanu</td>
<td><a href="http://www.bio.brandeis.edu/jadhavlab/index.html">The
Jadhav Lab integrates behavior, electrophysiology, optogenetics and
computational analysis to investigate the neural basis of learning,
memory and decision making in the mammalian brain.</a></td>
<td><a
href="http://www.bio.brandeis.edu/jadhavlab/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Katz, Don</td>
<td><a href="https://sites.google.com/a/brandeis.edu/katzlab/">We study
the neural ensemble dynamics of sensori-motor processes in awake
rodents, combining behavior, multi-neuronal electrophysiology, complex
analysis and modeling, pharmacology and optogenetics to probe ongoing
spiking activity in real-time</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Donald+B.+Katz+Brandeis&amp;hl=en&amp;as_sdt=0,5">Google?</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Marder, Eve</td>
<td><a href="http://blogs.brandeis.edu/marderlab/">How do
neuromodulators and neuromodulatory neurons reconfigure circuits so that
the same group of neurons can produce a variety of behaviorally relevant
outputs? How can networks be both stable over the lifetime of the animal
despite ongoing turnover of membrane proteins such as channels and
receptors? How is network stability maintained over long time periods?
To what extent do similar network outputs result from different
underlying mechanisms or solutions?. How variable are the sets of
parameters that govern circuit function across animals? How can animals
with disparate sets of circuit parameters respond reliably to
perturbations such as neuromodulators and temperature?</a></td>
<td><a
href="http://blogs.brandeis.edu/marderlab/publication/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Miller, Paul</td>
<td><a
href="http://www.brandeis.edu/facultyguide/person.html?emplid=e155804f5e9e6a843dab5395a623718200ad54b8">Quasi-stable
attractor states as a framework for neural computing…Learning and
Solving Associative Cognitive Tasks…Parametric Working Memory and
Sequential Discrimination…Molecular basis of long-term memory</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=ZdwhFVYAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Touboul, Jonathan</td>
<td><a
href="https://www.brandeis.edu/facultyguide/person.html?emplid=8cb81567ab262202223ac427c8e768ea4efad6b0">My
approach often involves data analysis, simplified mathematical models,
computer simulations and theoretical and mathematical analysis, using
dynamical systems and probability. And in this program, I
enthusiastically collaborate with experimentalists, mathematicians and
physicists!</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=t_YFoiUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google
?</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Van Hooser, Stephen</td>
<td><a href="http://www.vhlab.org/">In the Neural Circuits Lab, we apply
a new generation of optical and optogenetic tools to observe both
fine-scale circuit features and systems-level responses at the same
time, in the living brain. We combine these optical approaches with
advanced physiological and anatomical techniques to address previously
inaccessible questions about neural circuitry and its development in
mammalian visual cortex.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=H3vXtAUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="brown-university">Brown University</h5>
<ul>
<li><a
href="http://neuroscience.brown.edu/graduate/faculty/computational">Computational
Neuroscience</a></li>
<li><a href="https://www.brown.edu/academics/gradschool/apply">For all
departments, apply generally to Brown Graduate school. GRE @
Institution(3094). For Brown University School of Public Health @
Institution(7765). Neuroscience @ Departmnent(0213). Applied Math
?.</a></li>
<li><a
href="https://www2.training.nih.gov/apps/publicForms/gpp/forms/login.aspx">For
NIH/Neuroscience also fill out the NIH Partnership Application</a></li>
<li><a
href="https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences/prospective-graduate-students">See
Behavioral Neuroscience Requirements</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table style="width:100%;">
<colgroup>
<col style="width: 2%" />
<col style="width: 81%" />
<col style="width: 12%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Bienenstock, Lucien Elie</td>
<td><a href="https://vivo.brown.edu/display/lbienens#Research">My
research is in theoretical neuroscience, computational vision, and
computational linguistics. I study the mechanisms used by brains to
create and work with complex, detailed, hierarchical representations of
the external world</a></td>
<td></td>
<td>+</td>
</tr>
<tr class="even">
<td>Connors, Barry</td>
<td><a href="https://vivo.brown.edu/display/bconnors#Research">We
discovered that inhibitory neurons in the cortex communicate via
electrical synapses, and that electrically coupled networks of neurons
can serve as pacemakers for cortical rhythms in the brain. We are also
studying how neural activity leads to plasticity of cortical circuits,
and how the seizure discharges of epilepsy begin and propagate through
the cortex. Our methods include intracellular and extracellular
recording and patch clamping, neuroanatomical techniques, isolated slice
preparations, optogenetics, and computer modeling.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=whbW9AQAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Cooper, Leon</td>
<td><a href="https://vivo.brown.edu/display/lcooper#Research">Leon
Cooper studies neural networks, including architecture, learning rules,
and real world applications; the biological basis of memory and
learning; mean field theories; the foundations of quantum theory; and
superconductivity.</a></td>
<td></td>
<td>+</td>
</tr>
<tr class="even">
<td>Donoghue, John P.</td>
<td><a href="https://vivo.brown.edu/display/jdonoghu#Research">Our
laboratory investigates how the brain turns thought into voluntary
behaviors and how that knowledge can be used to help persons with
paralysis. We study how populations of neurons represent and transform
information as a motor plan becomes movement. This approach has required
the creation of a novel recording array to study neural ensembles. With
the knowledge we have gained about movement representation, we have
translated our findings to a clinical application in which humans with
paralysis can use their neurons directly to control devices.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=John+Donoghue+brain&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Frank, Michael</td>
<td><a href="https://vivo.brown.edu/display/mjfrank">My research
combines multiple levels of computational modeling and experimental work
to understand the neural mechanisms underlying reinforcement learning,
decision making and cognitive control. We develop neural circuit and
algorithmic models of systems-level interactions between multiple brain
areas (primarily prefrontal cortex and basal ganglia and their
modulation by dopamine). We test theoretical predictions of the models
using various neuropsychological, pharmacological, genetic, and imaging
techniques.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=f-xyFpUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Geman, Stuart</td>
<td><a href="http://www.dam.brown.edu/people/geman/">My hypothesis is
that the dual principles of re-usability and hierarchy, or what
cognitive scientists call compositionality, form the foundation for
efficient learning in biological systems; Statistical methods are being
devised to support the systematic search for fine-temporal structure in
stable multi-unit recordings; These spatio-temporal patterns, with their
correlation-induced topologies, would be good candidates for the basic
units of cognitive processing…</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=geman+stuart&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Hochberg, Leigh</td>
<td><a href="https://vivo.brown.edu/display/lhochber">Our Laboratory for
Restorative Neurotechnology focuses on developing strategies to restore
communication, mobility, and independence for people with paralysis or
limb loss. In addition to endeavors related to the pilot clinical trial
of the BrainGate2 Neural Interface System, we are interested in
understanding human intracortical neurophysiology during the planning
and production of voluntary movement, and understanding neuronal
ensemble function in a variety of neurologic diseases or injuries. Our
lab is also engaged in stroke neurorecovery research.</a></td>
<td><a
href="https://vivo.brown.edu/display/lhochber#Publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Jones, Stephanie</td>
<td><a href="https://blogs.brown.edu/joneslab/">The Jones Lab combines
experimental and theoretical techniques to study human brain dynamics.
Our mission is to develop biophysically principled computational models
of neural circuits that bridge electrophysiological measures of brain
function to the underlying cellular and network level dynamics. We aim
to translate an understanding of the network mechanism underlying
measured brain signals into strategies to improve disrupt
function.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=H2lcpR0AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Nurmikko, Arto</td>
<td><a href="http://nurmikko.engin.brown.edu/?q=node/43">developing
means to record from the brain of primates by employing implantable
fully wireless, microelectronically active neural signal probes, with
the goal of ‘reading out’ large numbers of individual neurons from
different brain microcircuits in real time; developing novel
optoelectronic devices as bidirectional brain interfaces and employing
these devices in combination with so-called optogenetic methods to study
brain function both in vivo and in vitro.; developing a dual-function
brain implantable microscale chip which combined both “readout” (by
electrical or possibly optical means) and “write-in”…</a></td>
<td><a href="http://nurmikko.engin.brown.edu/?q=node/10">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Paradiso, Michael</td>
<td><a href="https://vivo.brown.edu/display/mparadis#Research">The aims
of Dr. Paradiso’s research are to elucidate the encoding of visual
information in cerebral cortex, the computations performed by
interacting neurons, and the adaptive use of neural circuitry, with the
goal of understanding the mechanisms underlying human visual
perception.</a></td>
<td><a
href="https://vivo.brown.edu/display/mparadis#Publications">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Serre, Thomas</td>
<td><a href="http://serre-lab.clps.brown.edu/">My lab seeks to
understand the neural computations supporting visual perception. There
is little doubt that even a partial solution to the question of which
computations are carried out by the visual cortex would be a major
breakthrough: It would begin to explain one of our most amazing
abilities, vision; and it would open doors to other aspects of
intelligence such as language, planning or reasoning.</a></td>
<td><a href="http://serre-lab.clps.brown.edu/publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Sheinberg, David</td>
<td><a href="http://charlotte.neuro.brown.edu/">Research in my lab
explores how we identify objects and events in the real world, where
both the observer and the environment change over time.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=David+Sheinberg&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Truccolo, Wilson</td>
<td><a href="https://www.truccololab.com/">Collective neural dynamics in
neurological disorders (epilepsy, stroke, ALS, spinal cord injury);
Stochastic processes and random dynamical systems for multi-scale neural
dynamics; Subsampling and spatiotemporal coarse graining of collective
neural dynamics; Statistical algorithms for closed-loop neuromedical
systems: Tracking, prediction &amp; control of brain dynamics in
neurological disorders</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=gaKfE5MAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5
id="carnegie-mellon-university-and-university-of-pittsburgh">Carnegie
Mellon University and University of Pittsburgh</h5>
<ul>
<li><a
href="http://www.cnbc.cmu.edu/training/graduate/computational-neuroscience/">Computational
Neuroscience</a></li>
<li><a href="http://compneuro.cmu.edu/">Ph.D. in Neural Computation. GRE
not required but Institution(0274) and Department(0213).</a></li>
<li><a
href="https://applygrad.cs.cmu.edu/apply/offline.php">Applications open
during submission times</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 3%" />
<col style="width: 79%" />
<col style="width: 14%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Ahmari, Susanne</td>
<td><a href="https://pre.cnup.pitt.edu/people/ant">How do molecular and
circuit changes in the brain cause psychiatric illness? And how can we
leverage the inherent plasticity of the brain to treat psychiatric
disorders?</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=Susanne+E.+Ahmari&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>=</td>
</tr>
<tr class="even">
<td>Anderson, John R.</td>
<td><a
href="http://act-r.psy.cmu.edu/peoplepages/ja/ja-interests.html">We have
taken on modeling the cognitive competences that are taught in the
domains of mathematics, computer programming, and cognitive
psychology.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=PGcc-RIAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+?</td>
</tr>
<tr class="odd">
<td>Barth, Alison</td>
<td><a href="https://www.bio.cmu.edu/labs/barth/index.html">Research in
the Barth Lab is focused on understanding how experience assembles and
alters the properties of neural circuits in the cerebral cortex, in both
normal and disease states…In addition, researchers in the lab are using
electrophysiological recordings, electron microscopy, and computational
modeling to understand how functional networks are constructed and
optimized in the neocortex.</a></td>
<td><a
href="https://www.bio.cmu.edu/labs/barth/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Batista, Aaron</td>
<td><a href="https://smile.pitt.edu/">Flexibility and constraints in
learning and cognition. Improving brain-computer interfaces.
Sensory-motor coordination.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=kKE_lJUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Behrmann, Marlene</td>
<td><a href="https://www.cmu.edu/dietrich/behrmannlab/">The major
approach I use to address these questions is to study the behavior of
human adults who have sustained brain damage (usually through stroke or
head injury) which selectively affects their ability to carry out these
processes… simulations of artificial neural networks which may be used
to model these processes and their breakdown following brain-damage; and
functional neuroimaging studies which examine the biological substrate
of high-level vision.</a></td>
<td><a
href="https://www.cmu.edu/dietrich/behrmannlab/Publications/index.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Chase, Steven</td>
<td><a href="http://www.cnbc.cmu.edu/~schase/">Broadly speaking, my
laboratory investigates how sensory feedback impacts the neural
representation of motor intent. One of the major tools we use is the
brain-computer interface (BCI)… My research has two main thrusts. First,
I develop novel computational and experimental techniques that leverage
BCIs as a research tool for investigating the neural mechanisms of
sensorimotor adaptation and skill acquisition. Second, I design new BCI
decoding algorithms to enhance the performance of these devices and
hasten their clinical translation.</a></td>
<td><a
href="http://www.cnbc.cmu.edu/~schase/publications.php">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Cohen, Marlene</td>
<td><a href="http://www.cohenlab.com/">We are interested in how we use
vision to gather information about the world and decide how to act. As
primates, we perceive the world primarily through our eyes…We use a
combination of single and multi-electrode electrophysiology,
psychophysics, and computational techniques.</a></td>
<td><a href="http://www.cohenlab.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Coutanche, Marc</td>
<td><a href="http://thelenslab.org/">Our lab works at the intersection
of neuroscience and psychology, drawing on learning, memory
consolidation, sleep, perception, and computer science.</a></td>
<td><a href="http://www.mcoutanche.com/publications.html">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Creswell, David</td>
<td><a
href="https://www.cmu.edu/dietrich/psychology/people/core-training-faculty/creswell-david.html">David’s
research focuses broadly on understanding what makes people resilient
under stress. Specifically, he conducts community intervention studies,
laboratory studies of stress and coping, and neuroimaging studies to
understand how various stress management strategies alter coping and
stress resilience.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=UzpIzvEAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>-?</td>
</tr>
<tr class="even">
<td>Danks, David</td>
<td><a
href="https://www.cmu.edu/dietrich/philosophy/people/faculty/danks.html">My
research largely falls at the intersection of philosophy, cognitive
science, and machine learning, using ideas and frameworks from each to
inform the others. My primary research in recent years has been in
computational cognitive science: developing fully-specified
computational models to describe, predict, and most importantly, explain
human behavior (in causal cognition, concepts and categories, and most
recently, linguistics).</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=1lORpNsAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Doiron, Brent</td>
<td><a href="http://www.math.pitt.edu/~bdoiron/">Theoretical
Neuroscience. Cellular and synaptic dynamics; Network dynamics and
neural coding; Cognitive processing</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=2o_bzEUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Eddy, William F.</td>
<td><a href="http://www.stat.cmu.edu/GSS/eddy.html">In the last couple
of years I have become keenly interested in the statistical problems
associated with fMRI. A typical fMRI experiment run by a cognitive
psychologist produces as much as 1 gigabyte of data per hour. The
computational challenges are obvious.</a></td>
<td><a
href="https://scholar.google.com/scholar?as_ylo=2018&amp;q=William+F.+Eddy&amp;hl=en&amp;as_sdt=0,5">Google</a></td>
<td>+?</td>
</tr>
<tr class="odd">
<td>Erickson, Kirk</td>
<td><a href="http://bachlab.pitt.edu/people/kirk-erickson-phd">In The
Brain Aging &amp; Cognitive Health Lab we investigate how the mind and
brain change with age and the factors that promote successful aging. To
do this, we use a variety of neuropsychological assessments, genetic
testing, physical fitness testing, magnetic resonance imaging (MRI) and
positron emission tomography (PET).</a></td>
<td><a href="http://bachlab.pitt.edu/publications">Lab</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Ermentrout, Bard G.</td>
<td><a href="http://www.math.pitt.edu/~bard/pubs/lab.html">Olfactory
Navigation;Dynamics and phase resetting;Pattern formation in neural
systems;Waves and persistent states in neural systems; Modeling the
inflammatory response;</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=E73icgUAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Fiez, Julie</td>
<td><a href="https://www.fiezlab.us/">Our basic research examines the
neural basis of speech, language, reading, working memory, and learning
in healthy and patient populations. Complementary applied research draws
upon this foundation to inform studies on effective instruction and
intervention in reading and math. We use behavioral measures, magnetic
resonance imaging, magnetoencephalography, and neuropsychological
methods to discover how the brain gives rise to the mind.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=LQNJQjsAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Gandhi, Neeraj J.</td>
<td><a href="http://www.pitt.edu/~neg8/">Tricking the brain into high
gear: probing the link between attention and intention; Neural coding
through population dynamics; Neural Substrate Underlying Saccades to
Moving Targets</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=RCiia08AAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="odd">
<td>Genovese, Christopher R.</td>
<td><a href="http://www.stat.cmu.edu/~genovese/?p=research">Currently,
in neuroscience, I am working with different groups to study the
remapping of human’s visual representation during and after eye
movements and the role of the amygdala and pre-frontal cortex in
depression</a></td>
<td></td>
<td>+</td>
</tr>
<tr class="even">
<td>Ghuman, Avniel</td>
<td><a href="http://www.lcnd.pitt.edu/index.html">Specifically, we
examine the spatiotemporal dynamics of how neural activity reflects the
stages of information processing and how information flow through brain
networks responsible for visual perception. We are particularly
interested in the dynamic neural representation of faces, bodies,
objects, words, and social and affective visual images.</a></td>
<td><a href="http://www.lcnd.pitt.edu/publications.html">Lab</a></td>
<td>=?</td>
</tr>
<tr class="odd">
<td>Gittis, Aryn</td>
<td><a href="https://www.bio.cmu.edu/labs/gittis/">Our research seeks to
understand how neural circuits in the basal ganglia are organized and
function to shape movement in health and disease. We use optogenetics,
electrophysiology, histology, and behavior to study the function of
neural circuits in brain slices and in vivo.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=FkS0PMEAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
<tr class="even">
<td>Grover, Pulkit</td>
<td><a href="http://users.ece.cmu.edu/~pgrover/">Our lab seeks to attain
this understanding through a mix of thought and laboratory experiments,
spanning examination of fundamental limits all the way to experiments.
Current topics of interest include fundamental and practical
understanding of circuits and systems for processing and communicating
information; flow of information in neural systems and neural interfaces
(and use of this understanding to design radically new neural
interfaces); and understanding information and its use by exploring the
union of control and communication.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=hklOXvkAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>=?</td>
</tr>
</tbody>
</table>
</div>
<h5 id="columbia-university">Columbia University</h5>
<ul>
<li><a href="https://ctn.zuckermaninstitute.columbia.edu/apply">Center
for Theoretical Neuroscience.</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table style="width:100%;">
<colgroup>
<col style="width: 2%" />
<col style="width: 79%" />
<col style="width: 15%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Abbott, Larry</td>
<td><a
href="https://zuckermaninstitute.columbia.edu/larry-f-abbott-phd">Collaborating
with experimentalists. He works with pen and paper, or with computer
simulations, to build models of systems other neuroscientists are
studying in their labs. Some models are highly abstract, while others
contain considerable biophysical detail.</a></td>
<td><a
href="https://scholar.google.com/citations?user=ca_O-WQAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Miller, Ken</td>
<td><a href="https://ctn.zuckermaninstitute.columbia.edu/Ken">Use
theoretical and computational methods to unravel the circuitry of the
cerebral cortex, the rules by which this circuitry develops or
“self-organizes”, and the computational functions of this circuitry. Our
guiding hypothesis - motivated by the stereotypical nature of cortical
circuitry across sensory modalities and, with somewhat more variability,
across motor and “higher-order” cortical areas as well - is that there
are fundamental computations done by the cortical circuit that are
invariant across highly varying input signals.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=-5ZxgGsAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Cunningham, John</td>
<td><a href="http://stat.columbia.edu/~cunningham/">Machine learning and
its application to science and industry, including in particular using
the tools of artificial intelligence to understand biological
intelligence and other complex processes.</a></td>
<td><a href="http://stat.columbia.edu/~cunningham/">Lab</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Fusi, Stefano</td>
<td><a
href="https://zuckermaninstitute.columbia.edu/stefano-fusi-phd">He is
using math to better understand how the brain itself computes
information, especially as related to problem solving, reasoning and
decision-making.</a></td>
<td><a
href="https://www.ncbi.nlm.nih.gov/pubmed?term=%28Fusi%20S%5BAuthor%5D%29%20AND%20Columbia%5BAffiliation%5D">PubMed</a></td>
<td>-</td>
</tr>
<tr class="odd">
<td>Litwin-Kumar, Ashok</td>
<td><a href="http://lk.zuckermaninstitute.columbia.edu/">Learning
algorithms and their neural implementations. How do organisms use their
past experiences to adapt their current behavior? How do these neural
algorithms compare to those studied in machine learning and artificial
intelligence? We approach these questions by working closely with
experimental collaborators and building well-constrained models of
learning and synaptic plasticity.</a></td>
<td></td>
<td>=</td>
</tr>
<tr class="even">
<td>Paninski, Liam</td>
<td><a href="http://kavli.columbia.edu/member/paninski">I want to build
good models of the neural code and use these models to make predictions
about mechanisms, decode spike trains, predict responses to novel
stimuli, etc. I’m interested in statistical analysis at various levels
of the neural code, from ensembles of simultaneously-recorded spike
trains down to voltage fluctuations in individual dendritic
compartments.</a></td>
<td><a href="http://www.stat.columbia.edu/~liam/cv/">Lab</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="johns-hopkins-university">Johns Hopkins University</h5>
<ul>
<li><a href="http://neuroscience.jhu.edu/research/area/3">Neuroscience
at JHU</a></li>
<li><a href="http://neuroscience.jhu.edu/graduate/apply">Solomon H.
Snyder Department of Neuroscience.</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 1%" />
<col style="width: 86%" />
<col style="width: 9%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Aponte, Yeka</td>
<td><a href="http://neuroscience.jhu.edu/research/faculty/2">Our
interest is to understand how genetically-identified cell types and
their projections drive behaviors essential for survival. Using the
mouse as our model system, we apply optogenetics and chemogenetics to
manipulate neuronal circuits in awake, behaving mice. In addition, we
use a combination of electrophysiology, two-photon fluorescence
endomicroscopy, and behavioral assays to elucidate the neuronal basis of
survival behaviors, such as feeding, and to determine how these neuronal
circuits drive the rewarding and addictive nature of food
intake.</a></td>
<td></td>
<td>-</td>
</tr>
<tr class="even">
<td>Bastian, Amy</td>
<td><a href="http://neuroscience.jhu.edu/research/faculty/5">My
laboratory studies the movements of adults and children who have damage
or disease of the central nervous system. We are interested in
understanding the mechanisms of different types of movement disorders,
as well as how and why different treatments improve movement. We are
actively studying how new movements are “learned” and what the course of
movement recovery following different types brain damage is.</a></td>
<td><a
href="https://scholar.google.com/citations?user=XuCieIUAAAAJ&amp;hl=en">Google</a></td>
<td>-</td>
</tr>
<tr class="odd">
<td>Shadmehr, Reza</td>
<td><a href="http://neuroscience.jhu.edu/research/faculty/80/">Our goal
is to understand movement control in humans. Our approach stresses a
close integration of the viewpoints from robotics and control theory
with neuroscience to provide a unique perspective on the nature of the
biological computations that underlie the control of movements. Our
ultimate goal is to use the language of mathematics to describe how the
various parts of the brain contribute to control of movement in
humans.</a></td>
<td><a
href="https://scholar.google.com/citations?user=UM8YeikAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Stuphorn, Veit</td>
<td><a href="http://neuroscience.jhu.edu/research/faculty/86/">I am
interested in the neurophysiological mechanisms that underlie
decision-making and self-control, two essential functions of higher
executive processes. To this end, in my lab we record the activity of
single neurons in awake animals that are engaged in decision-making.
This allows us to identify the types of signals that neurons in specific
parts of the brain represent and the computations they carry out. I will
also study human subjects in the same tasks with the help of fMRI. These
parallel experiments will provide comparative information about decision
processes in human and non-human primates.</a></td>
<td><a
href="https://scholar.google.com/citations?user=3C3nTXwAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h5 id="johns-hopkins-university---janelia-joint-graduate-program">Johns
Hopkins University - Janelia Joint Graduate Program</h5>
<ul>
<li><a href="https://www.janelia.org/our-research">Janelia Labs</a></li>
<li><a
href="https://www.janelia.org/you-janelia/students-postdocs/joint-graduate-program">Joint
Ph.D. program</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
<h5 id="massachussetts-institute-of-technology">Massachussetts Institute
of Technology</h5>
<ul>
<li><a
href="https://bcs.mit.edu/academic-program/graduate/graduate-admissions">Brain
+ Cognitive Sciences, GRE Institution(3514),</a></li>
<li><a href="https://cbmm.mit.edu/about">Center for Brains, Minds and
Machines</a></li>
</ul>
<p><a href="#contents"><span
style="font-size: 0.75rem;">:arrow_up:</span></a></p>
<div style="font-size: 0.5rem;">
<table>
<colgroup>
<col style="width: 2%" />
<col style="width: 83%" />
<col style="width: 12%" />
<col style="width: 2%" />
</colgroup>
<thead>
<tr class="header">
<th>PI(Ph.D.s)</th>
<th>Research Areas</th>
<th>Research</th>
<th>+/=/- computational</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Bear, Mark</td>
<td><a href="https://picower.mit.edu/mark-bear">Our overarching interest
is in the question of how experience and deprivation modify synaptic
connections in the brain. Experience-dependent synaptic plasticity is
the physical substrate of memory, sculpts connections during postnatal
development to determine the capabilities and limitations of brain
functions, is responsible for the reorganization of the brain after
damage, and is vulnerable in numerous psychiatric and neurological
diseases and contributes to their symptoms.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=xobgmhgAAAAJ&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>DiCarlo, James</td>
<td><a href="https://mcgovern.mit.edu/profile/james-dicarlo/">DiCarlo’s
research goal is to reverse engineer the brain mechanisms that underlie
human visual intelligence. He and his collaborators have revealed how
population image transformations carried out by a deep stack of
interconnected neocortical brain areas — called the primate ventral
visual stream — are effortlessly able to extract object identity from
visual images. His team uses a combination of large-scale
neurophysiology, brain imaging, direct neural perturbation methods, and
machine learning methods to build and test neurally-mechanistic
computational models of the ventral visual stream and its support of
cognition and behavior.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=qenoZwUAAAAJ">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Fee, Michale</td>
<td><a href="http://web.mit.edu/feelab/">For the past six years, our
laboratory has focused on studying the cellular, circuit, and mechanical
underpinnings of songbird vocalizations. In one current project, we are
studying nucleus RA, an area that projects directly to motor neurons of
the vocal organ. During song, RA neurons each generate a distinctive and
reproducible sequence of brief bursts of spikes. Using a new miniature
motorized microdrive developed in this lab (see below), we have been
able to record from large populations of RA neurons (~50) in the singing
bird to understand how premotor activity maps to vocal output.</a></td>
<td><a
href="https://scholar.google.com/citations?user=nelvBCQAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Jazayeri, Mehdrad</td>
<td><a href="https://mcgovern.mit.edu/profile/mehrdad-jazayeri/">The
Jazayeri lab aims to understand the building blocks of cognition. The
brain has a remarkable ability to generate complex behaviors by
combining sensory evidence, prior experience, and cost-benefit
considerations. Jazayeri’s research probes the neural mechanisms that
allow the brain to integrate this plethora of cues, resulting in
flexible, goal-directed behavior.</a></td>
<td><a
href="https://scholar.google.com/citations?user=AkJyWbAAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Sompolinsky, Haim</td>
<td><a href="http://neurophysics.huji.ac.il/">Sompolinsky’s research
goal is to uncover the fundamental principles of the organization, the
dynamics and the function of the brain, viewing the brain through
multiscale lenses, spanning the molecular, the cellular, and the circuit
levels. To achieve this goal, Sompolinsky has developed new theoretical
approaches to computational neuroscience based on the principles and
methods of statistical physics, and physics of dynamical and stochastic
systems.</a></td>
<td><a
href="https://scholar.google.com/citations?user=T8o_MdkAAAAJ&amp;hl=en">Google</a></td>
<td>+</td>
</tr>
<tr class="even">
<td>Sur, Mriganka</td>
<td><a href="https://www.surlab.org/">The Sur laboratory studies the
development, plasticity and dynamics of circuits in the cerebral cortex
of the brain. The developing brain requires a genetic blueprint but is
also acutely sensitive to experience and the environment. The adult
brain responds to external stimuli, and modulates these responses by
internal states such as attention, through dynamic changes in
information transmission and processing.</a></td>
<td><a href="https://www.surlab.org/sur-publications/">Lab</a></td>
<td>+</td>
</tr>
<tr class="odd">
<td>Tenenbaum, Joshua</td>
<td><a href="http://web.mit.edu/cocosci/josh.html">Current research in
our group explores the computational basis of many aspects of human
cognition: learning concepts, judging similarity, inferring causal
connections, forming perceptual representations, learning word meanings
and syntactic principles in natural language, noticing coincidences and
predicting the future, inferring the mental states of other people, and
constructing intuitive theories of core domains, such as intuitive
physics, psychology, biology, or social structure.</a></td>
<td><a
href="https://scholar.google.com/citations?hl=en&amp;user=rRJ9wTJMUB8C&amp;view_op=list_works&amp;sortby=pubdate">Google</a></td>
<td>+</td>
</tr>
</tbody>
</table>
</div>
<h2 id="license">License</h2>
<p><a href="https://creativecommons.org/publicdomain/zero/1.0/"><img
src="http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg"
alt="CC0" /></a></p>
<p>To the extent possible under law, <a href="https://eliselkin.com">Eli
Selkin</a> has waived all copyright and related or neighboring rights to
this work.</p>
<p><a
href="https://github.com/eselkin/awesome-computational-neuroscience">computationalneuroscience.md
Github</a></p>