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Samuel Gershman - Publications

Affiliations: 
Harvard Medical School, Boston, MA, United States 
Area:
Computational cognitive neuroscience of learning and memory
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160 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Beukers AO, Collin SHP, Kempner RP, Franklin NT, Gershman SJ, Norman KA. Blocked training facilitates learning of multiple schemas. Communications Psychology. 2: 28. PMID 39242783 DOI: 10.1038/s44271-024-00079-4  0.606
2024 Gershman SJ, Assad JA, Datta SR, Linderman SW, Sabatini BL, Uchida N, Wilbrecht L. Explaining dopamine through prediction errors and beyond. Nature Neuroscience. PMID 39054370 DOI: 10.1038/s41593-024-01705-4  0.59
2024 Lu Q, Nguyen TT, Zhang Q, Hasson U, Griffiths TL, Zacks JM, Gershman SJ, Norman KA. Reconciling shared versus context-specific information in a neural network model of latent causes. Scientific Reports. 14: 16782. PMID 39039131 DOI: 10.1038/s41598-024-64272-5  0.808
2024 Allen K, Brändle F, Botvinick M, Fan JE, Gershman SJ, Gopnik A, Griffiths TL, Hartshorne JK, Hauser TU, Ho MK, de Leeuw JR, Ma WJ, Murayama K, Nelson JD, van Opheusden B, et al. Using games to understand the mind. Nature Human Behaviour. PMID 38907029 DOI: 10.1038/s41562-024-01878-9  0.588
2024 Qian L, Burrell M, Hennig JA, Matias S, Murthy VN, Gershman SJ, Uchida N. The role of prospective contingency in the control of behavior and dopamine signals during associative learning. Biorxiv : the Preprint Server For Biology. PMID 38370735 DOI: 10.1101/2024.02.05.578961  0.817
2023 Hennig JA, Romero Pinto SA, Yamaguchi T, Linderman SW, Uchida N, Gershman SJ. Emergence of belief-like representations through reinforcement learning. Plos Computational Biology. 19: e1011067. PMID 37695776 DOI: 10.1371/journal.pcbi.1011067  0.817
2023 Brändle F, Stocks LJ, Tenenbaum JB, Gershman SJ, Schulz E. Empowerment contributes to exploration behaviour in a creative video game. Nature Human Behaviour. PMID 37488401 DOI: 10.1038/s41562-023-01661-2  0.473
2023 Li Y, Wang Y, Boger T, Smith KA, Gershman SJ, Ullman TD. An approximate representation of objects underlies physical reasoning. Journal of Experimental Psychology. General. PMID 37307336 DOI: 10.1037/xge0001439  0.705
2023 Gershman SJ, Ullman TD. Causal implicatures from correlational statements. Plos One. 18: e0286067. PMID 37200364 DOI: 10.1371/journal.pone.0286067  0.668
2023 Geerts JP, Gershman SJ, Burgess N, Stachenfeld KL. A probabilistic successor representation for context-dependent learning. Psychological Review. PMID 37166847 DOI: 10.1037/rev0000414  0.374
2023 Hennig JA, Romero Pinto SA, Yamaguchi T, Linderman SW, Uchida N, Gershman SJ. Emergence of belief-like representations through reinforcement learning. Biorxiv : the Preprint Server For Biology. PMID 37066383 DOI: 10.1101/2023.04.04.535512  0.817
2023 Tomov MS, Tsividis PA, Pouncy T, Tenenbaum JB, Gershman SJ. The neural architecture of theory-based reinforcement learning. Neuron. PMID 36898374 DOI: 10.1016/j.neuron.2023.01.023  0.526
2022 Bill J, Gershman SJ, Drugowitsch J. Visual motion perception as online hierarchical inference. Nature Communications. 13: 7403. PMID 36456546 DOI: 10.1038/s41467-022-34805-5  0.792
2022 Pouncy T, Gershman SJ. Inductive biases in theory-based reinforcement learning. Cognitive Psychology. 138: 101509. PMID 36152355 DOI: 10.1016/j.cogpsych.2022.101509  0.334
2022 Mikhael JG, Kim HR, Uchida N, Gershman SJ. The role of state uncertainty in the dynamics of dopamine. Current Biology : Cb. PMID 35114098 DOI: 10.1016/j.cub.2022.01.025  0.636
2021 Gershman SJ, Jones CE, Norman KA, Monfils MH, Niv Y. Corrigendum: Gradual extinction prevents the return of fear: implications for the discovery of state. Frontiers in Behavioral Neuroscience. 15: 786900. PMID 34912199 DOI: 10.3389/fnbeh.2021.786900  0.596
2021 Sosa FA, Ullman T, Tenenbaum JB, Gershman SJ, Gerstenberg T. Moral dynamics: Grounding moral judgment in intuitive physics and intuitive psychology. Cognition. 217: 104890. PMID 34487974 DOI: 10.1016/j.cognition.2021.104890  0.753
2021 Dorfman HM, Tomov M, Cheung B, Clarke D, Gershman SJ, Hughes BL. Causal inference gates corticostriatal learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 34244363 DOI: 10.1523/JNEUROSCI.2796-20.2021  0.343
2021 Yang S, Bill J, Drugowitsch J, Gershman SJ. Human visual motion perception shows hallmarks of Bayesian structural inference. Scientific Reports. 11: 3714. PMID 33580096 DOI: 10.1038/s41598-021-82175-7  0.784
2021 Gershman SJ, Guitart-Masip M, Cavanagh JF. Neural signatures of arbitration between Pavlovian and instrumental action selection. Plos Computational Biology. 17: e1008553. PMID 33566831 DOI: 10.1371/journal.pcbi.1008553  0.575
2021 Tomov MS, Schulz E, Gershman SJ. Multi-task reinforcement learning in humans. Nature Human Behaviour. PMID 33510391 DOI: 10.1038/s41562-020-01035-y  0.621
2021 Dasgupta I, Gershman SJ. Memory as a Computational Resource. Trends in Cognitive Sciences. PMID 33454217 DOI: 10.1016/j.tics.2020.12.008  0.54
2021 Pouncy T, Tsividis P, Gershman SJ. What Is the Model in Model-Based Planning? Cognitive Science. 45: e12928. PMID 33398907 DOI: 10.1111/cogs.12928  0.572
2021 Gershman SJ, Balbi PE, Gallistel CR, Gunawardena J. Reconsidering the evidence for learning in single cells. Elife. 10. PMID 33395388 DOI: 10.7554/eLife.61907  0.605
2020 Dasgupta I, Guo D, Gershman SJ, Goodman ND. Analyzing Machine-Learned Representations: A Natural Language Case Study. Cognitive Science. 44: e12925. PMID 33340161 DOI: 10.1111/cogs.12925  0.74
2020 Kim HR, Malik AN, Mikhael JG, Bech P, Tsutsui-Kimura I, Sun F, Zhang Y, Li Y, Watabe-Uchida M, Gershman SJ, Uchida N. A Unified Framework for Dopamine Signals across Timescales. Cell. PMID 33248024 DOI: 10.1016/j.cell.2020.11.013  0.701
2020 Cohen AO, Nussenbaum K, Dorfman HM, Gershman SJ, Hartley CA. The rational use of causal inference to guide reinforcement learning strengthens with age. Npj Science of Learning. 5: 16. PMID 33133638 DOI: 10.1038/s41539-020-00075-3  0.613
2020 Bill J, Pailian H, Gershman SJ, Drugowitsch J. Hierarchical structure is employed by humans during visual motion perception. Proceedings of the National Academy of Sciences of the United States of America. 117: 24581-24589. PMID 32938799 DOI: 10.1073/Pnas.2008961117  0.781
2020 Gershman SJ. Origin of perseveration in the trade-off between reward and complexity. Cognition. 204: 104394. PMID 32679270 DOI: 10.1016/j.cognition.2020.104394  0.556
2020 Dorfman HM, Gershman SJ. Publisher Correction: Controllability governs the balance between Pavlovian and instrumental action selection. Nature Communications. 11: 3497. PMID 32641682 DOI: 10.1038/S41467-020-17420-0  0.494
2020 Gershman SJ, Bhui R. Rationally inattentive intertemporal choice. Nature Communications. 11: 3365. PMID 32620804 DOI: 10.1038/S41467-020-16852-Y  0.577
2020 Gershman SJ, Ölveczky BP. The neurobiology of deep reinforcement learning. Current Biology : Cb. 30: R629-R632. PMID 32516607 DOI: 10.1016/j.cub.2020.04.021  0.599
2020 Sanders H, Wilson MA, Gershman SJ. Hippocampal remapping as hidden state inference. Elife. 9. PMID 32515352 DOI: 10.7554/Elife.51140  0.535
2020 Baumann C, Singmann H, Gershman SJ, von Helversen B. A linear threshold model for optimal stopping behavior. Proceedings of the National Academy of Sciences of the United States of America. PMID 32461363 DOI: 10.1073/pnas.2002312117  0.556
2020 Gershman S, Niv Y. Erratum to Gershman and Niv (2012), Learning & Behavior, 40, 255-268. Learning & Behavior. PMID 32415636 DOI: 10.3758/S13420-020-00426-5  0.51
2020 Tomov MS, Truong VQ, Hundia RA, Gershman SJ. Dissociable neural correlates of uncertainty underlie different exploration strategies. Nature Communications. 11: 2371. PMID 32398675 DOI: 10.1038/s41467-020-15766-z  0.554
2020 Tomov MS, Yagati S, Kumar A, Yang W, Gershman SJ. Discovery of hierarchical representations for efficient planning. Plos Computational Biology. 16: e1007594. PMID 32251444 DOI: 10.1371/journal.pcbi.1007594  0.59
2020 Dasgupta I, Schulz E, Tenenbaum JB, Gershman SJ. A theory of learning to infer. Psychological Review. 127: 412-441. PMID 32223286 DOI: 10.1037/Rev0000178  0.691
2020 Franklin NT, Norman KA, Ranganath C, Zacks JM, Gershman SJ. Structured Event Memory: A neuro-symbolic model of event cognition. Psychological Review. 127: 327-361. PMID 32223284 DOI: 10.1037/Rev0000177  0.7
2020 Lau T, Gershman SJ, Cikara M. Social structure learning in human anterior insula. Elife. 9. PMID 32067635 DOI: 10.7554/Elife.53162  0.607
2020 Schulz E, Franklin NT, Gershman SJ. Finding structure in multi-armed bandits. Cognitive Psychology. 119: 101261. PMID 32059133 DOI: 10.1016/J.Cogpsych.2019.101261  0.634
2020 Goldwater MB, Gershman SJ, Moul C, Ludowici C, Burton A, Killer B, Kuhnert RL, Ridgway K. Children's understanding of habitual behaviour. Developmental Science. e12951. PMID 32058673 DOI: 10.1111/desc.12951  0.471
2020 Batmanghelich K, Saeedi A, Narasimhan K, Gershman S. Nonparametric Spherical Topic Modeling with Word Embeddings. Proceedings of the Conference. Association For Computational Linguistics. Meeting. 2016: 537-542. PMID 30636838 DOI: 10.18653/v1/P16-2087  0.539
2019 Dorfman HM, Gershman SJ. Controllability governs the balance between Pavlovian and instrumental action selection. Nature Communications. 10: 5826. PMID 31862876 DOI: 10.1038/S41467-019-13737-7  0.6
2019 Stalnaker T, Howard JD, Takahashi YK, Gershman SJ, Kahnt T, Schoenbaum G. Dopamine neuron ensembles signal the content of sensory prediction errors. Elife. 8. PMID 31674910 DOI: 10.7554/Elife.49315  0.562
2019 Gershman SJ, Uchida N. Believing in dopamine. Nature Reviews. Neuroscience. PMID 31570826 DOI: 10.1038/s41583-019-0220-7  0.745
2019 Schulz E, Bhui R, Love BC, Brier B, Todd MT, Gershman SJ. Structured, uncertainty-driven exploration in real-world consumer choice. Proceedings of the National Academy of Sciences of the United States of America. PMID 31235598 DOI: 10.1073/Pnas.1821028116  0.596
2019 Cushman F, Gershman S. Editors' Introduction: Computational Approaches to Social Cognition. Topics in Cognitive Science. 11: 281-298. PMID 31025547 DOI: 10.1111/Tops.12424  0.557
2019 Mikhael JG, Gershman SJ. Adapting the Flow of Time with Dopamine. Journal of Neurophysiology. PMID 30864882 DOI: 10.1152/jn.00817.2018  0.595
2019 Kurdi B, Gershman SJ, Banaji MR. Model-free and model-based learning processes in the updating of explicit and implicit evaluations. Proceedings of the National Academy of Sciences of the United States of America. 116: 6035-6044. PMID 30862738 DOI: 10.1073/Pnas.1820238116  0.579
2019 Tiganj Z, Gershman SJ, Sederberg PB, Howard MW. Estimating Scale-Invariant Future in Continuous Time. Neural Computation. 1-29. PMID 30764739 DOI: 10.1162/Neco_A_01171  0.735
2019 Dorfman HM, Bhui R, Hughes BL, Gershman SJ. Causal Inference About Good and Bad Outcomes. Psychological Science. 956797619828724. PMID 30759048 DOI: 10.1177/0956797619828724  0.596
2019 Patzelt EH, Kool W, Millner AJ, Gershman SJ. The transdiagnostic structure of mental effort avoidance. Scientific Reports. 9: 1689. PMID 30737422 DOI: 10.1038/S41598-018-37802-1  0.508
2019 Gershman SJ. The Generative Adversarial Brain Frontiers in Artificial Intelligence. 2. DOI: 10.3389/frai.2019.00018  0.482
2019 Bill J, Pailian H, Gershman SJ, Drugowitsch J. Hierarchical motion structure is employed by humans during visual perception Journal of Vision. 19: 282. DOI: 10.1167/19.10.282  0.764
2019 Gershman SJ. Uncertainty and exploration. Decision. 6: 277-286. DOI: 10.1037/DEC0000101  0.494
2019 Chang LW, Gershman SJ, Cikara M. Comparing value coding models of context-dependence in social choice Journal of Experimental Social Psychology. 85: 103847. DOI: 10.1016/J.Jesp.2019.103847  0.55
2019 Botvinick MM, Gershman SJ. Editorial overview: Artificial intelligence Current Opinion in Behavioral Sciences. 29: iii-iv. DOI: 10.1016/j.cobeha.2019.07.006  0.517
2018 Patzelt EH, Hartley CA, Gershman SJ. Computational Phenotyping: Using Models to Understand Individual Differences in Personality, Development, and Mental Illness. Personality Neuroscience. 1: e18. PMID 32435735 DOI: 10.1017/Pen.2018.14  0.552
2018 Holcombe AO, Gershman SJ. Bayesian belief updating after a replication experiment. The Behavioral and Brain Sciences. 41: e134. PMID 31064577 DOI: 10.1017/S0140525X18000699  0.681
2018 Millner AJ, den Ouden HEM, Gershman SJ, Glenn CR, Kearns JC, Bornstein AM, Marx BP, Keane TM, Nock MK. Suicidal thoughts and behaviors are associated with an increased decision-making bias for active responses to escape aversive states. Journal of Abnormal Psychology. PMID 30589305 DOI: 10.1037/Abn0000395  0.766
2018 Schulz E, Gershman SJ. The algorithmic architecture of exploration in the human brain. Current Opinion in Neurobiology. 55: 7-14. PMID 30529148 DOI: 10.1016/J.Conb.2018.11.003  0.623
2018 Gardner MPH, Schoenbaum G, Gershman SJ. Rethinking dopamine as generalized prediction error. Proceedings. Biological Sciences. 285. PMID 30464063 DOI: 10.1098/rspb.2018.1645  0.569
2018 Bhui R, Gershman SJ. Decision by sampling implements efficient coding of psychoeconomic functions. Psychological Review. 125: 985-1001. PMID 30431303 DOI: 10.1037/Rev0000123  0.547
2018 Gershman SJ, Tzovaras BG. Dopaminergic genes are associated with both directed and random exploration. Neuropsychologia. 120: 97-104. PMID 30347192 DOI: 10.1016/j.neuropsychologia.2018.10.009  0.548
2018 Petter EA, Gershman SJ, Meck WH. Integrating Models of Interval Timing and Reinforcement Learning. Trends in Cognitive Sciences. 22: 911-922. PMID 30266150 DOI: 10.1016/j.tics.2018.08.004  0.625
2018 Lau T, Pouncy HT, Gershman SJ, Cikara M. Discovering social groups via latent structure learning. Journal of Experimental Psychology. General. PMID 30265025 DOI: 10.1037/Xge0000470  0.571
2018 Patzelt EH, Kool W, Millner AJ, Gershman SJ. Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs. Biological Psychiatry. PMID 30077331 DOI: 10.1016/J.Biopsych.2018.06.018  0.545
2018 Gershman SJ. The successor representation: its computational logic and neural substrates. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30006364 DOI: 10.1523/JNEUROSCI.0151-18.2018  0.634
2018 Tomov MS, Dorfman HM, Gershman SJ. Neural Computations Underlying Causal Structure Learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 29959234 DOI: 10.1523/Jneurosci.3336-17.2018  0.643
2018 Gershman SJ. How to never be wrong. Psychonomic Bulletin & Review. PMID 29799092 DOI: 10.3758/s13423-018-1488-8  0.486
2018 Dasgupta I, Schulz E, Goodman ND, Gershman SJ. Remembrance of inferences past: Amortization in human hypothesis generation. Cognition. 178: 67-81. PMID 29793110 DOI: 10.1016/J.Cognition.2018.04.017  0.698
2018 Babayan BM, Uchida N, Gershman SJ. Belief state representation in the dopamine system. Nature Communications. 9: 1891. PMID 29760401 DOI: 10.1038/S41467-018-04397-0  0.802
2018 Stachenfeld KL, Botvinick MM, Gershman SJ. Author Correction: The hippocampus as a predictive map. Nature Neuroscience. PMID 29695823 DOI: 10.1038/s41593-018-0133-1  0.491
2018 Kool W, Gershman SJ, Cushman FA. Planning Complexity Registers as a Cost in Metacontrol. Journal of Cognitive Neuroscience. 1-14. PMID 29668390 DOI: 10.1162/Jocn_A_01263  0.597
2018 Starkweather CK, Gershman SJ, Uchida N. The Medial Prefrontal Cortex Shapes Dopamine Reward Prediction Errors under State Uncertainty. Neuron. PMID 29656872 DOI: 10.1016/J.Neuron.2018.03.036  0.72
2018 Pereira F, Lou B, Pritchett B, Ritter S, Gershman SJ, Kanwisher N, Botvinick M, Fedorenko E. Toward a universal decoder of linguistic meaning from brain activation. Nature Communications. 9: 963. PMID 29511192 DOI: 10.1038/S41467-018-03068-4  0.718
2017 Momennejad I, Russek EM, Cheong JH, Botvinick MM, Daw ND, Gershman SJ. The successor representation in human reinforcement learning. Nature Human Behaviour. 1: 680-692. PMID 31024137 DOI: 10.1038/S41562-017-0180-8  0.812
2017 Lake BM, Ullman TD, Tenenbaum JB, Gershman SJ. Ingredients of intelligence: From classic debates to an engineering roadmap. The Behavioral and Brain Sciences. 40: e281. PMID 29342708 DOI: 10.1017/S0140525X17001224  0.796
2017 Gershman SJ. Deconstructing the human algorithms for exploration. Cognition. 173: 34-42. PMID 29289795 DOI: 10.1016/j.cognition.2017.12.014  0.571
2017 Millner AJ, Gershman SJ, Nock MK, den Ouden HEM. Pavlovian Control of Escape and Avoidance. Journal of Cognitive Neuroscience. 1-12. PMID 29244641 DOI: 10.1162/Jocn_A_01224  0.584
2017 Blanchard TC, Gershman SJ. Pure correlates of exploration and exploitation in the human brain. Cognitive, Affective & Behavioral Neuroscience. PMID 29218570 DOI: 10.3758/S13415-017-0556-2  0.567
2017 Schulz E, Tenenbaum JB, Duvenaud D, Speekenbrink M, Gershman SJ. Compositional inductive biases in function learning. Cognitive Psychology. 99: 44-79. PMID 29154187 DOI: 10.1016/J.Cogpsych.2017.11.002  0.672
2017 Stachenfeld KL, Botvinick MM, Gershman SJ. The hippocampus as a predictive map. Nature Neuroscience. PMID 28967910 DOI: 10.1038/nn.4650  0.571
2017 Gershman SJ. Dopamine, Inference, and Uncertainty. Neural Computation. 1-16. PMID 28957023 DOI: 10.1162/neco_a_01023  0.596
2017 Russek EM, Momennejad I, Botvinick MM, Gershman SJ, Daw ND. Predictive representations can link model-based reinforcement learning to model-free mechanisms. Plos Computational Biology. 13: e1005768. PMID 28945743 DOI: 10.1371/Journal.Pcbi.1005768  0.824
2017 Gershman SJ. Predicting the Past, Remembering the Future. Current Opinion in Behavioral Sciences. 17: 7-13. PMID 28920071 DOI: 10.1016/j.cobeha.2017.05.025  0.58
2017 Linderman SW, Gershman SJ. Using computational theory to constrain statistical models of neural data. Current Opinion in Neurobiology. 46: 14-24. PMID 28732273 DOI: 10.1016/j.conb.2017.06.004  0.572
2017 Kool W, Gershman SJ, Cushman FA. Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems. Psychological Science. 956797617708288. PMID 28731839 DOI: 10.1177/0956797617708288  0.597
2017 Gershman SJ, Zhou J, Kommers C. Imaginative Reinforcement Learning: Computational Principles and Neural Mechanisms. Journal of Cognitive Neuroscience. 1-11. PMID 28707569 DOI: 10.1162/jocn_a_01170  0.64
2017 Dasgupta I, Schulz E, Gershman SJ. Where do hypotheses come from? Cognitive Psychology. 96: 1-25. PMID 28586634 DOI: 10.1016/J.Cogpsych.2017.05.001  0.556
2017 Gershman SJ, Monfils MH, Norman KA, Niv Y. Correction: The computational nature of memory modification. Elife. 6. PMID 28530550 DOI: 10.7554/eLife.28693  0.716
2017 Gershman SJ, Monfils MH, Norman KA, Niv Y. The computational nature of memory modification. Elife. 6. PMID 28294944 DOI: 10.7554/eLife.23763  0.749
2017 Gershman SJ, Pouncy HT, Gweon H. Learning the Structure of Social Influence. Cognitive Science. PMID 28294384 DOI: 10.1111/Cogs.12480  0.587
2017 Starkweather CK, Babayan BM, Uchida N, Gershman SJ. Dopamine reward prediction errors reflect hidden-state inference across time. Nature Neuroscience. PMID 28263301 DOI: 10.1038/Nn.4520  0.81
2017 Gershman SJ, Malmaud J, Tenenbaum JB. Structured representations of utility in combinatorial domains. Decision. 4: 67-86. DOI: 10.1037/dec0000053  0.501
2017 Thaker P, Tenenbaum JB, Gershman SJ. Online learning of symbolic concepts Journal of Mathematical Psychology. 77: 10-20. DOI: 10.1016/j.jmp.2017.01.002  0.592
2016 Cikara M, Gershman SJ. Medial Prefrontal Cortex Updates Its Status. Neuron. 92: 937-939. PMID 27930908 DOI: 10.1016/J.Neuron.2016.11.040  0.493
2016 Lake BM, Ullman TD, Tenenbaum JB, Gershman SJ. Building Machines That Learn and Think Like People. The Behavioral and Brain Sciences. 1-101. PMID 27881212 DOI: 10.1017/S0140525X16001837  0.818
2016 Pereira F, Gershman S, Ritter S, Botvinick M. A comparative evaluation of off-the-shelf distributed semantic representations for modelling behavioural data. Cognitive Neuropsychology. 33: 175-90. PMID 27686110 DOI: 10.1080/02643294.2016.1176907  0.6
2016 Gershman SJ, Daw ND. Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework. Annual Review of Psychology. PMID 27618944 DOI: 10.1146/annurev-psych-122414-033625  0.638
2016 Gershman SJ, Gerstenberg T, Baker CL, Cushman FA. Plans, Habits, and Theory of Mind. Plos One. 11: e0162246. PMID 27584041 DOI: 10.1371/Journal.Pone.0162246  0.642
2016 Kool W, Cushman FA, Gershman SJ. When Does Model-Based Control Pay Off? Plos Computational Biology. 12: e1005090. PMID 27564094 DOI: 10.1371/Journal.Pcbi.1005090  0.601
2016 Gershman SJ. Context-dependent learning and causal structure. Psychonomic Bulletin & Review. PMID 27418259 DOI: 10.3758/s13423-016-1110-x  0.601
2016 Gershman SJ. On the Blessing of Abstraction. Quarterly Journal of Experimental Psychology (2006). 1-9. PMID 26930189 DOI: 10.1080/17470218.2016.1159706  0.523
2016 Tervo DG, Tenenbaum JB, Gershman SJ. Toward the neural implementation of structure learning. Current Opinion in Neurobiology. 37: 99-105. PMID 26874471 DOI: 10.1016/j.conb.2016.01.014  0.71
2016 Gershman SJ. Empirical priors for reinforcement learning models Journal of Mathematical Psychology. 71: 1-6. DOI: 10.1016/j.jmp.2016.01.006  0.619
2015 Gershman SJ. A Unifying Probabilistic View of Associative Learning. Plos Computational Biology. 11: e1004567. PMID 26535896 DOI: 10.1371/journal.pcbi.1004567  0.621
2015 Gershman SJ, Frazier PI, Blei DM. Distance Dependent Infinite Latent Feature Models. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 334-45. PMID 26353245 DOI: 10.1109/Tpami.2014.2321387  0.528
2015 Gershman SJ, Horvitz EJ, Tenenbaum JB. Computational rationality: A converging paradigm for intelligence in brains, minds, and machines. Science (New York, N.Y.). 349: 273-8. PMID 26185246 DOI: 10.1126/science.aac6076  0.652
2015 Metcalfe K, Lynch HT, Foulkes WD, Tung N, Kim-Sing C, Olopade OI, Eisen A, Rosen B, Snyder C, Gershman S, Sun P, Narod SA. Effect of Oophorectomy on Survival After Breast Cancer in BRCA1 and BRCA2 Mutation Carriers. Jama Oncology. 1: 306-13. PMID 26181175 DOI: 10.1001/Jamaoncol.2015.0658  0.463
2015 Gershman SJ, Hartley CA. Individual differences in learning predict the return of fear. Learning & Behavior. 43: 243-50. PMID 26100524 DOI: 10.3758/s13420-015-0176-z  0.601
2015 Niv Y, Daniel R, Geana A, Gershman SJ, Leong YC, Radulescu A, Wilson RC. Reinforcement learning in multidimensional environments relies on attention mechanisms. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 8145-57. PMID 26019331 DOI: 10.1523/Jneurosci.2978-14.2015  0.821
2015 Gershman SJ, Tenenbaum JB, Jäkel F. Discovering hierarchical motion structure. Vision Research. PMID 25818905 DOI: 10.1016/j.visres.2015.03.004  0.77
2015 Gershman SJ, Niv Y. Novelty and Inductive Generalization in Human Reinforcement Learning. Topics in Cognitive Science. PMID 25808176 DOI: 10.1111/tops.12138  0.713
2015 Huys QJ, Lally N, Faulkner P, Eshel N, Seifritz E, Gershman SJ, Dayan P, Roiser JP. Interplay of approximate planning strategies. Proceedings of the National Academy of Sciences of the United States of America. 112: 3098-103. PMID 25675480 DOI: 10.1073/Pnas.1414219112  0.633
2015 Gershman SJ. Do learning rates adapt to the distribution of rewards? Psychonomic Bulletin & Review. PMID 25582684 DOI: 10.3758/s13423-014-0790-3  0.606
2015 Gershman SJ, Frazier PI, Blei DM. Distance dependent infinite latent feature models Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 334-345. DOI: 10.1109/TPAMI.2014.2321387  0.504
2015 Gershman SJ, Norman KA, Niv Y. Discovering latent causes in reinforcement learning Current Opinion in Behavioral Sciences. 5: 43-50. DOI: 10.1016/j.cobeha.2015.07.007  0.769
2014 Knowlton R, Gershman S, Solis A, Das B. An assessment of the reliability of race, Hispanic ethnicity, birthplace, and tobacco history data in the Massachusetts cancer registry, 2005-2009. Journal of Registry Management. 41: 146-50. PMID 25419609  0.484
2014 Gershman SJ, Radulescu A, Norman KA, Niv Y. Statistical computations underlying the dynamics of memory updating. Plos Computational Biology. 10: e1003939. PMID 25375816 DOI: 10.1371/Journal.Pcbi.1003939  0.794
2014 Soto FA, Gershman SJ, Niv Y. Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization. Psychological Review. 121: 526-58. PMID 25090430 DOI: 10.1037/A0037018  0.66
2014 Gershman S, Delcourt M, Rundle HD. Sexual selection on Drosophila serrata male pheromones does not vary with female age or mating status. Journal of Evolutionary Biology. 27: 1279-86. PMID 24828752 DOI: 10.1111/Jeb.12407  0.474
2014 Gershman SJ, Blei DM, Norman KA, Sederberg PB. Decomposing spatiotemporal brain patterns into topographic latent sources. Neuroimage. 98: 91-102. PMID 24791745 DOI: 10.1016/J.Neuroimage.2014.04.055  0.767
2014 Gershman SJ. The penumbra of learning: a statistical theory of synaptic tagging and capture. Network (Bristol, England). 25: 97-115. PMID 24679103 DOI: 10.3109/0954898X.2013.862749  0.569
2014 Metcalfe K, Gershman S, Ghadirian P, Lynch HT, Snyder C, Tung N, Kim-Sing C, Eisen A, Foulkes WD, Rosen B, Sun P, Narod SA. Contralateral mastectomy and survival after breast cancer in carriers of BRCA1 and BRCA2 mutations: retrospective analysis. Bmj (Clinical Research Ed.). 348: g226. PMID 24519767 DOI: 10.1136/Bmj.G226  0.462
2014 Feng SF, Schwemmer M, Gershman SJ, Cohen JD. Multitasking versus multiplexing: Toward a normative account of limitations in the simultaneous execution of control-demanding behaviors. Cognitive, Affective & Behavioral Neuroscience. 14: 129-46. PMID 24481850 DOI: 10.3758/S13415-013-0236-9  0.603
2014 Gershman SJ, Moustafa AA, Ludvig EA. Time representation in reinforcement learning models of the basal ganglia. Frontiers in Computational Neuroscience. 7: 194. PMID 24409138 DOI: 10.3389/Fncom.2013.00194  0.6
2014 Gershman SJ. Dopamine ramps are a consequence of reward prediction errors. Neural Computation. 26: 467-71. PMID 24320851 DOI: 10.1162/NECO_a_00559  0.583
2014 Gershman SJ, Markman AB, Otto AR. Retrospective revaluation in sequential decision making: a tale of two systems. Journal of Experimental Psychology. General. 143: 182-94. PMID 23230992 DOI: 10.1037/a0030844  0.574
2014 Stachenfeld KL, Botvinick MM, Gershman SJ. Design principles of the hippocampal cognitive map Advances in Neural Information Processing Systems. 3: 2528-2536.  0.475
2013 Gershman SJ, Jones CE, Norman KA, Monfils MH, Niv Y. Gradual extinction prevents the return of fear: implications for the discovery of state. Frontiers in Behavioral Neuroscience. 7: 164. PMID 24302899 DOI: 10.3389/Fnbeh.2013.00164  0.752
2013 Gershman SJ, Niv Y. Perceptual estimation obeys Occam's razor. Frontiers in Psychology. 4: 623. PMID 24137136 DOI: 10.3389/fpsyg.2013.00623  0.665
2013 Christakou A, Gershman SJ, Niv Y, Simmons A, Brammer M, Rubia K. Neural and psychological maturation of decision-making in adolescence and young adulthood. Journal of Cognitive Neuroscience. 25: 1807-23. PMID 23859647 DOI: 10.1162/jocn_a_00447  0.633
2013 Gershman SJ, Schapiro AC, Hupbach A, Norman KA. Neural context reinstatement predicts memory misattribution. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 8590-5. PMID 23678104 DOI: 10.1523/Jneurosci.0096-13.2013  0.79
2013 Otto AR, Gershman SJ, Markman AB, Daw ND. The curse of planning: dissecting multiple reinforcement-learning systems by taxing the central executive. Psychological Science. 24: 751-61. PMID 23558545 DOI: 10.1177/0956797612463080  0.625
2013 Detre GJ, Natarajan A, Gershman SJ, Norman KA. Moderate levels of activation lead to forgetting in the think/no-think paradigm. Neuropsychologia. 51: 2371-88. PMID 23499722 DOI: 10.1016/j.neuropsychologia.2013.02.017  0.773
2012 Gershman SJ, Niv Y. Exploring a latent cause theory of classical conditioning. Learning & Behavior. 40: 255-68. PMID 22927000 DOI: 10.3758/s13420-012-0080-8  0.66
2012 Gershman SJ, Moore CD, Todd MT, Norman KA, Sederberg PB. The successor representation and temporal context. Neural Computation. 24: 1553-68. PMID 22364500 DOI: 10.1162/Neco_A_00282  0.819
2012 Gershman SJ, Vul E, Tenenbaum JB. Multistability and perceptual inference. Neural Computation. 24: 1-24. PMID 22023198 DOI: 10.1162/NECO_a_00226  0.759
2012 Gershman SJ, Blei DM. A tutorial on Bayesian nonparametric models Journal of Mathematical Psychology. 56: 1-12. DOI: 10.1016/J.Jmp.2011.08.004  0.52
2012 Gershman SJ, Hoffman MD, Blei DM. Nonparametric variational inference Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 663-670.  0.477
2011 Gershman SJ, Blei DM, Pereira F, Norman KA. A topographic latent source model for fMRI data. Neuroimage. 57: 89-100. PMID 21549204 DOI: 10.1016/J.Neuroimage.2011.04.042  0.667
2011 Sederberg PB, Gershman SJ, Polyn SM, Norman KA. Human memory reconsolidation can be explained using the temporal context model. Psychonomic Bulletin & Review. 18: 455-68. PMID 21512839 DOI: 10.3758/s13423-011-0086-9  0.783
2011 Metcalfe K, Gershman S, Lynch HT, Ghadirian P, Tung N, Kim-Sing C, Olopade OI, Domchek S, McLennan J, Eisen A, Foulkes WD, Rosen B, Sun P, Narod SA. Predictors of contralateral breast cancer in BRCA1 and BRCA2 mutation carriers. British Journal of Cancer. 104: 1384-92. PMID 21487411 DOI: 10.1038/Bjc.2011.120  0.471
2011 Daw ND, Gershman SJ, Seymour B, Dayan P, Dolan RJ. Model-based influences on humans' choices and striatal prediction errors. Neuron. 69: 1204-15. PMID 21435563 DOI: 10.1016/J.Neuron.2011.02.027  0.672
2010 Gershman SJ, Niv Y. Learning latent structure: carving nature at its joints. Current Opinion in Neurobiology. 20: 251-6. PMID 20227271 DOI: 10.1016/j.conb.2010.02.008  0.705
2010 Gershman SJ, Blei DM, Niv Y. Context, learning, and extinction. Psychological Review. 117: 197-209. PMID 20063968 DOI: 10.1037/A0017808  0.684
2010 Gershman SJ, Wilson RC. The neural costs of optimal control Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.569
2009 Gershman SJ, Pesaran B, Daw ND. Human reinforcement learning subdivides structured action spaces by learning effector-specific values. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 13524-31. PMID 19864565 DOI: 10.1523/JNEUROSCI.2469-09.2009  0.634
2009 Mozgina O, Koutsospyros A, Gershman S, Belkind A, Christodoulatos C, Becker K. Decomposition of energetic materials by pulsed electrical discharges in gas-bubbled aqueous solutions Ieee Transactions On Plasma Science. 37: 905-910. DOI: 10.1109/Tps.2009.2016970  0.463
2009 Socher R, Gershman SJ, Perotte AJ, Sederberg PB, Blei DM, Norman KA. A Bayesian analysis of dynamics in free recall Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1714-1722.  0.75
2009 Gershman SJ, Vul E, Tenenbaum JB. Perceptual multistability as Markov Chain Monte Carlo inference Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 611-619.  0.726
2007 Metcalfe KA, Poll A, O'Connor A, Gershman S, Armel S, Finch A, Demsky R, Rosen B, Narod SA. Development and testing of a decision aid for breast cancer prevention for women with a BRCA1 or BRCA2 mutation. Clinical Genetics. 72: 208-17. PMID 17718858 DOI: 10.1111/J.1399-0004.2007.00859.X  0.492
2005 Black BL, Cowens-Alvarado R, Gershman S, Weir HK. Using data to motivate action: the need for high quality, an effective presentation, and an action context for decision-making. Cancer Causes & Control : Ccc. 16: 15-25. PMID 16208571 DOI: 10.1007/s10552-005-0457-5  0.52
2004 Joseph Sheehan T, DeChello LM, Kulldorff M, Gregorio DI, Gershman S, Mroszczyk M. The geographic distribution of breast cancer incidence in Massachusetts 1988 to 1997, adjusted for covariates. International Journal of Health Geographics. 3: 17. PMID 15291960 DOI: 10.1186/1476-072X-3-17  0.493
1997 Gershman S. [Debate on the paper by Regina Cele de A. Bodstein] Cadernos De Saude Publica. 13: 193-195. PMID 10886843  0.468
1996 Karpinska K, Malinowski A, Cieplak MZ, Guha S, Gershman S, Kotliar G, Skoskiewicz T, Plesiewicz W, Berkowski M, Lindenfeld P. Magnetic-Field Induced Superconductor-Insulator Transition in the La2-xSrxCuO4 System. Physical Review Letters. 77: 3033-3036. PMID 10062114 DOI: 10.1103/Physrevlett.77.3033  0.47
1996 Davis FG, Malinski N, Haenszel W, Chang J, Flannery J, Gershman S, Dibble R, Bigner DD. Primary brain tumor incidence rates in four United States regions, 1985-1989: a pilot study. Neuroepidemiology. 15: 103-12. PMID 8684582 DOI: 10.1159/000109895  0.481
1988 Gershman S. A literature review of midtarsal joint function. Clinics in Podiatric Medicine and Surgery. 5: 385-91. PMID 3282633  0.494
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