Samuel Gershman

Affiliations: 
Harvard Medical School, Boston, MA, United States 
Area:
Computational cognitive neuroscience of learning and memory
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Parents

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Yael Niv grad student 2008-2013 Princeton
Kenneth A. Norman grad student 2008-2013 Princeton
Nancy Kanwisher post-doc 2013-2015 MIT
Joshua Tenenbaum post-doc 2013-2015 MIT

Children

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Lindsay E. Hunter research assistant Harvard
Johannes Bill post-doc
Bénédicte M Babayan post-doc 2014-
Jay A. Hennig post-doc 2021-2024 Harvard
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Publications

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Sosa FA, Gershman SJ, Ullman TD. (2024) Blending simulation and abstraction for physical reasoning. Cognition. 254: 105995
Beukers AO, Collin SHP, Kempner RP, et al. (2024) Blocked training facilitates learning of multiple schemas. Communications Psychology. 2: 28
Gershman SJ, Assad JA, Datta SR, et al. (2024) Explaining dopamine through prediction errors and beyond. Nature Neuroscience
Lu Q, Nguyen TT, Zhang Q, et al. (2024) Reconciling shared versus context-specific information in a neural network model of latent causes. Scientific Reports. 14: 16782
Allen K, Brändle F, Botvinick M, et al. (2024) Using games to understand the mind. Nature Human Behaviour
Qian L, Burrell M, Hennig JA, et al. (2024) The role of prospective contingency in the control of behavior and dopamine signals during associative learning. Biorxiv : the Preprint Server For Biology
Hennig JA, Romero Pinto SA, Yamaguchi T, et al. (2023) Emergence of belief-like representations through reinforcement learning. Plos Computational Biology. 19: e1011067
Brändle F, Stocks LJ, Tenenbaum JB, et al. (2023) Empowerment contributes to exploration behaviour in a creative video game. Nature Human Behaviour
Li Y, Wang Y, Boger T, et al. (2023) An approximate representation of objects underlies physical reasoning. Journal of Experimental Psychology. General
Gershman SJ, Ullman TD. (2023) Causal implicatures from correlational statements. Plos One. 18: e0286067
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