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@@ -45,6 +45,10 @@ researcher over time as they publish more.</p>
<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>
@@ -361,6 +365,235 @@ href="https://scholar.google.com/citations?hl=en&amp;user=NHhnjsIAAAAJ&amp;view_
</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>
@@ -5596,3 +5829,6 @@ 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>