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Wulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. He studied physics at the universities of Tubingen and Munich and received a PhD from the Technical University of Munich. His research in computational neuroscience concentrates on models of spiking neurons, the dynamics of spiking neural networks and spike-timing dependent plasticity. More recently, he got interested in generalizations of Hebbian learning in the form of multi-factor learning rules and in the role of surprise for learning. He currently has a joint appointment at the School of Life Sciences and the School of Computer and Communications Sciences at the EPFL. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists. He is the recipient of the Valentino Braitenberg Award for Computational Neuroscience 2018 and a member of the Academy of Sciences and Literature Mainz (Germany).
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论文共 391 篇作者统计合作学者相似作者
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Carlos Stein Naves de Brito,Wulfram Gerstner
The Behavioral and brain sciences (2024): e94-e94
Kevin Portner,Till Zellweger,Flavio Martinelli, Laura Bégon-Lours,Valeria Bragaglia,Christoph Weilenmann,Daniel Jubin, Donato Falcone, Felix Hermann, Oscar Hrynkevych,Tommaso Stecconi,Antonio La Porta,
crossref(2024)
Martin L. L. R. Barry,Wulfram Gerstner
Anastasiia Oryshchuk,Christos Sourmpis, Julie Weverbergh, Reza Asri,Vahid Esmaeili,Alireza Modirshanechi,Wulfram Gerstner,Carl C. H. Petersen,Sylvain Crochet
CELL REPORTSno. 1 (2024): 113618-113618
Current opinion in neurobiology (2023): 102758-102758
Neural networks : the official journal of the International Neural Network Society (2023): 622-622
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