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Wulfram Gerstner

Swiss Federal Institute of Technology, Zürich, Zürich, Switzerland 
Computation & Theory
"Wulfram Gerstner"
Mean distance: 12.63 (cluster 17)


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Arnulf B.A. Graf research assistant EPFL
Loic Matthey-de-l'Endroit research assistant 2006-2008 EPFL
Angelo Arleo grad student Swiss Federal Institute of Technology
Christian Tomm grad student Swiss Federal Institute of Technology
Taro Toyoizumi grad student RIKEN BSI
Guillaume J. Hennequin grad student 2007- EPFL
Felipe Gerhard grad student 2009- EPFL
Carlos Stein Brito grad student 2010- EPFL
Ricardo Chavarriaga grad student 2001-2005 EPFL
Renaud Blaise Jolivet grad student 2001-2005 EPFL
Julien Mayor grad student 2001-2005 EPFL
Brice Bathellier grad student 2003-2007 EPFL, Brain Mind Institute
Denis Sheynikhovich grad student 2003-2007 EPFL
Claudia Clopath grad student 2005-2009 EPFL
Nicolas Marcille grad student 2006-2010 EPFL - Brain Mind Institute
Johannes Rueter grad student 2009-2011 EPFL
Richard Naud grad student 2007-2012 EPFL
Everton J Agnes grad student 2013-2013 Swiss Federal Institute of Technology (EPFL)
Friedemann Zenke grad student 2009-2014
Laureline Logiaco grad student 2015 EPFL
Alexander Seeholzer grad student 2012-2017
Magnus Richardson post-doc University of Warwick, UK
Tilo Schwalger post-doc 2013-
Eleni Vasilaki post-doc 2007-2009 Swiss Federal Institute of Technology
Henning Sprekeler post-doc 2008-2011 EPFL
Tim Vogels post-doc 2010-2013 EPFL
David B. Kastner post-doc 2013-2014 EPFL
Ho Ling Li post-doc 2015-2017 EPFL (Physics Tree)
Aditya Gilra post-doc 2015-2018 Swiss Federal Institute of Technology (EPFL)
Kerstin Preuschoff research scientist 2011- EPFL
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Martinolli M, Gerstner W, Gilra A. (2018) Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory. Frontiers in Computational Neuroscience. 12: 50
Setareh H, Deger M, Gerstner W. (2018) Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation. Plos Computational Biology. 14: e1006216
Deger M, Seeholzer A, Gerstner W. (2017) Multicontact Co-operativity in Spike-Timing-Dependent Structural Plasticity Stabilizes Networks. Cerebral Cortex (New York, N.Y. : 1991)
Gilra A, Gerstner W. (2017) Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network. Elife. 6
Faraji M, Preuschoff K, Gerstner W. (2017) Balancing New against Old Information: The Role of Puzzlement Surprise in Learning. Neural Computation. 1-50
Setareh H, Deger M, Petersen CCH, et al. (2017) Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons. Frontiers in Computational Neuroscience. 11: 52
Zenke F, Gerstner W, Ganguli S. (2017) The temporal paradox of Hebbian learning and homeostatic plasticity. Current Opinion in Neurobiology. 43: 166-176
Schwalger T, Deger M, Gerstner W. (2017) Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. Plos Computational Biology. 13: e1005507
Zenke F, Gerstner W. (2017) Hebbian plasticity requires compensatory processes on multiple timescales. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372
Keck T, Toyoizumi T, Chen L, et al. (2017) Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372
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