Samuel Gershman
Affiliations: | Harvard Medical School, Boston, MA, United States |
Area:
Computational cognitive neuroscience of learning and memoryGoogle:
"Samuel Gershman"Mean distance: 106866
Children
Sign in to add traineeLindsay E. Hunter | research assistant | Harvard | |
Johannes Bill | post-doc | ||
Bénédicte M Babayan | post-doc | 2014- |
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Publications
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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 |
Qü AJ, Tai LH, Hall CD, et al. (2023) Nucleus accumbens dopamine release reflects Bayesian inference during instrumental 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 |
Geerts JP, Gershman SJ, Burgess N, et al. (2023) A probabilistic successor representation for context-dependent learning. Psychological Review |
Hennig JA, Romero Pinto SA, Yamaguchi T, et al. (2023) Emergence of belief-like representations through reinforcement learning. Biorxiv : the Preprint Server For Biology |
Bill J, Gershman SJ, Drugowitsch J. (2022) Visual motion perception as online hierarchical inference. Nature Communications. 13: 7403 |
Jakob AMV, Mikhael JG, Hamilos AE, et al. (2022) Dopamine mediates the bidirectional update of interval timing. Behavioral Neuroscience. 136: 445-452 |
Pouncy T, Gershman SJ. (2022) Inductive biases in theory-based reinforcement learning. Cognitive Psychology. 138: 101509 |
Mikhael JG, Kim HR, Uchida N, et al. (2022) The role of state uncertainty in the dynamics of dopamine. Current Biology : Cb |
Mikhael JG, Gershman SJ. (2021) Impulsivity and risk-seeking as Bayesian inference under dopaminergic control. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology |