Wulfram Gerstner
Affiliations: | Swiss Federal Institute of Technology, Zürich, Zürich, Switzerland |
Area:
Computation & TheoryWebsite:
http://diwww.epfl.ch/~gerstner/index.htmlGoogle:
"Wulfram Gerstner"Mean distance: 12.63 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorJ. Leo Van Hemmen | grad student | Technical University of Munich | |
William Bialek | post-doc | 1989-1990 | UC Berkeley |
Larry F. Abbott | post-doc | 1995 | Brandeis |
Children
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Publications
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Brea J, Clayton NS, Gerstner W. (2023) Computational models of episodic-like memory in food-caching birds. Nature Communications. 14: 2979 |
Liakoni V, Lehmann MP, Modirshanechi A, et al. (2022) Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. Neuroimage. 246: 118780 |
Gastaldi C, Schwalger T, De Falco E, et al. (2021) When shared concept cells support associations: Theory of overlapping memory engrams. Plos Computational Biology. 17: e1009691 |
Xu HA, Modirshanechi A, Lehmann MP, et al. (2021) Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making. Plos Computational Biology. 17: e1009070 |
Esmaeili V, Tamura K, Muscinelli SP, et al. (2021) Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response. Neuron |
Liakoni V, Modirshanechi A, Gerstner W, et al. (2021) Learning in Volatile Environments with the Bayes Factor Surprise. Neural Computation. 1-72 |
Meissner-Bernard C, Tsai MC, Logiaco L, et al. (2020) Dendritic Voltage Recordings Explain Paradoxical Synaptic Plasticity: A Modeling Study. Frontiers in Synaptic Neuroscience. 12: 585539 |
Surace SC, Pfister JP, Gerstner W, et al. (2020) On the choice of metric in gradient-based theories of brain function. Plos Computational Biology. 16: e1007640 |
Schmutz V, Gerstner W, Schwalger T. (2020) Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity. Journal of Mathematical Neuroscience. 10: 5 |
Gastaldi C, Muscinelli S, Gerstner W. (2019) Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model. Frontiers in Computational Neuroscience. 13: 78 |