Gasper Tkacik
Affiliations: | Physics | IST Austria, Klosterneuburg, Niederösterreich, Austria |
Area:
computational neuroscience, biological networks, biophysicsGoogle:
"Gasper Tkacik"Mean distance: 14.61 (cluster 17) | S | N | B | C | P |
Cross-listing: Chemistry Tree
Parents
Sign in to add mentorWilliam Bialek | grad student | 2002-2007 | Princeton |
Curtis Gove Callan | grad student | 2002-2007 | Princeton (Physics Tree) |
Vijay Balasubramanian | post-doc | 2008-2010 | Penn |
Collaborators
Sign in to add collaboratorThomas Gregor | collaborator | (Physics Tree) | |
Elad Schneidman | collaborator | Weizmann Institute | |
Michele Nardin | collaborator | 2019- |
BETA: Related publications
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Publications
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Maoz O, Tkačik G, Esteki MS, et al. (2020) Learning probabilistic neural representations with randomly connected circuits. Proceedings of the National Academy of Sciences of the United States of America. 117: 25066-25073 |
Berry MJ, Tkačik G. (2020) Clustering of Neural Activity: A Design Principle for Population Codes. Frontiers in Computational Neuroscience. 14: 20 |
Petkova MD, Tkačik G, Bialek W, et al. (2019) Optimal Decoding of Cellular Identities in a Genetic Network. Cell. 176: 844-855.e15 |
Botella-Soler V, Deny S, Martius G, et al. (2018) Nonlinear decoding of a complex movie from the mammalian retina. Plos Computational Biology. 14: e1006057 |
Bod'ová K, Mitchell GJ, Harpaz R, et al. (2018) Probabilistic models of individual and collective animal behavior. Plos One. 13: e0193049 |
Chalk M, Marre O, Tkačik G. (2018) Toward a unified theory of efficient, predictive, and sparse coding. Proceedings of the National Academy of Sciences of the United States of America. 115: 186-191 |
Deny S, Ferrari U, Macé E, et al. (2017) Multiplexed computations in retinal ganglion cells of a single type. Nature Communications. 8: 1964 |
Harpaz R, Tkačik G, Schneidman E. (2017) Discrete modes of social information processing predict individual behavior of fish in a group. Proceedings of the National Academy of Sciences of the United States of America |
Savin C, Tkačik G. (2017) Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology. 46: 120-126 |
Prentice JS, Marre O, Ioffe ML, et al. (2016) Error-Robust Modes of the Retinal Population Code. Plos Computational Biology. 12: e1005148 |