Misha Tsodyks
Affiliations: | Weizmann Institute of Science, Rehovot, Israel |
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"Misha Tsodyks"Mean distance: 13.21 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorDaniel Amit | post-doc | Weizmann Institute | |
Bruce L. McNaughton | post-doc | Weizmann Institute |
Children
Sign in to add traineeOmri Barak | grad student | Columbia | |
Son Preminger | grad student | Weizmann Institute | |
Alon Rubin | grad student | Weizmann Institute | |
Pritish Patil | grad student | 2016- | Weizmann Institute |
Tal Kenet | grad student | 1996-2001 | Weizmann Institute |
Alex Loebel | grad student | 2007 | Weizmann Institute |
Bailu Si | post-doc | ||
Oren Shriki | post-doc | 2003-2005 | Weizmann Institute |
Dimitri Fisher | post-doc | 2007-2008 | Weizmann Institute |
Sandro Romani | post-doc | 2009-2011 |
Collaborators
Sign in to add collaboratorKlaus Pawelzik | collaborator | University of Bremen | |
Nachum Ulanovsky | collaborator | Weizmann Institute |
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Publications
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Barak O, Tsodyks M. (2023) Mathematical models of learning and what can be learned from them. Current Opinion in Neurobiology. 80: 102721 |
Eliav T, Maimon SR, Aljadeff J, et al. (2021) Multiscale representation of very large environments in the hippocampus of flying bats. Science (New York, N.Y.). 372 |
Naim M, Katkov M, Romani S, et al. (2020) Fundamental Law of Memory Recall. Physical Review Letters. 124: 018101 |
Naim M, Katkov M, Recanatesi S, et al. (2019) Emergence of hierarchical organization in memory for random material. Scientific Reports. 9: 10448 |
Golomb D, Tsodyks M. (2019) Decision letter: Mechanisms underlying the response of mouse cortical networks to optogenetic manipulation Elife |
Finkelstein A, Ulanovsky N, Tsodyks M, et al. (2018) Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats. Nature Communications. 9: 3590 |
Ben-Shushan N, Tsodyks M. (2017) Stabilizing patterns in time: Neural network approach. Plos Computational Biology. 13: e1005861 |
Ding S, Cueva CJ, Tsodyks M, et al. (2017) Visual perception as retrospective Bayesian decoding from high- to low-level features. Proceedings of the National Academy of Sciences of the United States of America. 114: E9115-E9124 |
Recanatesi S, Katkov M, Tsodyks M. (2017) Memory States and Transitions between Them in Attractor Neural Networks. Neural Computation. 1-28 |
Trübutschek D, Marti S, Ojeda A, et al. (2017) A theory of working memory without consciousness or sustained activity. Elife. 6 |