Fields of expertise
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'.
|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
|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|
list (1992 - )
|Full list of publications|
Teaching & PhD
Physics,Life Sciences Engineering,Communication Systems