Wulfram Gerstner

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Professeur ordinaire

wulfram.gerstner@epfl.ch +41 21 69 36713 http://lcn.epfl.ch/~gerstner/

Laboratory of Computational Neuroscience

Lab page

EPFL SV BMI LCN2
AAB 1 35 (Bâtiment AAB)
Station 19
CH-1015 Lausanne

+41 21 69 36713
+41 21 69 31896
Site web: http://lcn1.epfl.ch/index.html
Unité: LCN2
Local: SV 2806

EPFL IC IINFCOM LCN1
AAB 1 35 (Bâtiment AAB)
Station 15
CH-1015 Lausanne

+41 21 69 36713
+41 21 69 31896
Site web: http://lcn.epfl.ch/
Unité: LCN1
Local: SV 2806

Données administratives

Mission

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.

Biography

Wulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning.
He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL.

After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, `Network: Computation in Neural Systems', `Journal of Computational Neuroscience', and `Science'.

Compétences

Computational Neuroscience

Publications

MAIN PUBLICATIONS

F. Zenke, and E.J. Agnes, and W. Gerstner Nature Communications, 6:6922, 2015.	Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks
G. Hennequin, T. Vogels and W. Gerstner Neuron,82:13941406 (2014)	Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements
D.J. Rezende and W. Gerstner, Frontiers In Computational Neuroscience, 8:38, 2014.	Stochastic variational learning in recurrent spiking networks,
T. Vogels, H. Sprekeler, F. Zenke, C. Clopath and W. Gerstner Science 334: 1569-1573, 2011	Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks
C. Clopath, L. Busing, E. Vasilaki and W. Gerstner Nature Neuroscience, 13: 344-352, 2010	Connectivity reflects coding: a model of voltage-based STDP with homeostasis
Wulfram Gerstner list (1992 - )	Full list of publications

Enseignement & Phd

Enseignement

Computer Science,
Physics
Life Sciences Engineering
Communication Systems

Programmes doctoraux

Doctoral program in computer and communication sciences
Doctoral Program in Neuroscience
Doctoral Program Digital Humanities

Doctorants

Barry Martin Louis Lucien Rémy
Colombo Florian François
Gallice Noé Victor
Gastaldi Chiara
Gozel Olivia
Illing Bernd Albert
Lehmann Marco Philipp
Liakoni Vasiliki
Muscinelli Samuel Pavio
Schmutz Valentin Marc

A dirigé les thèses de

Arleo Angelo ...
Badel Laurent ...
Bathellier Brice ...
Borer Silvio ...
Chavarriaga Lozano Ricardo ...
Clopath Claudia ...
Corneil Dane Sterling ...
Faraji Mohammadjavad ...
Frémaux Nicolas ...
Gerhard Joao Emanuel Felipe ...
Gers Felix ...
Hennequin Guillaume ...
Herrmann Scheurer Alix ...
Jimenez Rezende Danilo ...
Jolivet Renaud ...
Luksys Gediminas ...
Marcille Nicolas ...
Mayor Julien ...
Mensi Skander ...
Meylan Laurence ...
Moerland Perry ...
Naud Richard ...
Pfister Jean-Pascal ...
Pozzorini Christian Antonio ...
Seeholzer Alexander Kevin ...
Setareh Hesam ...
Sheynikhovich Denis ...
Smeraldi Fabrizio ...
Sottas Pierre-Edouard ...
Spiridon Paltani Mona ...
Stein Naves de Brito Carlos ...
Strösslin Thomas ...
Tomm Christian ...
Zenke Friedemann ...
Ziegler Lorric ...

Cours

Artificial neural networks

Ce cours donne une introduction systématique au réseaux de neurones modernes 'profondes' (deep nets). en particulier, les réseaux multicouches dans l'apprentissage supervisé et l'apprentissage par renforcement.

Génie électrique (edoc), 2018-2019, Master semestre 4, language : anglais
Informatique, 2018-2019, Master semestre 2, language : anglais
MINEUR, 2018-2019, Semestre printemps, language : anglais
Mathématiques, 2018-2019, Master semestre 2, language : anglais
Mathématiques, 2018-2019, Master semestre 4, language : anglais
Systèmes de communication, 2018-2019, Master semestre 2, language : anglais
Systèmes de communication, 2018-2019, Master semestre 4, language : anglais

Biological modeling of neural networks

Auditeurs, 2018-2019, Semestre printemps, language : anglais
Génie électrique (edoc), 2018-2019, Semestre printemps, language : anglais
Génie électrique et électronique , 2018-2019, Master semestre 2, language : anglais
Génie électrique et électronique , 2018-2019, Master semestre 4, language : anglais
Informatique, 2018-2019, Master semestre 2, language : anglais
Ingénierie des sciences du vivant, 2018-2019, Master semestre 2, language : anglais
Ingénierie des sciences du vivant, 2018-2019, Master semestre 4, language : anglais
MINEUR, 2018-2019, Semestre printemps, language : anglais
Mathématiques, 2018-2019, Master semestre 2, language : anglais
Mathématiques, 2018-2019, Master semestre 4, language : anglais
Neurosciences (edoc), 2018-2019, Semestre printemps, language : anglais
Systèmes de communication, 2018-2019, Master semestre 2, language : anglais
Systèmes de communication, 2018-2019, Master semestre 4, language : anglais