Gasper Tkacik

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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