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Sam J. Gershman - Publications

Affiliations: 
Princeton University, Princeton, NJ 
 Psychology Harvard University, Cambridge, MA, United States 
Area:
Cognitive & computational neuroscience
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Year Citation  Score
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  0.34
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  0.64
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  0.807
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  0.749
2020 Gershman SJ, Bhui R. Rationally inattentive intertemporal choice. Nature Communications. 11: 3365. PMID 32620804 DOI: 10.1038/S41467-020-16852-Y  0.779
2020 Sanders H, Wilson MA, Gershman SJ. Hippocampal remapping as hidden state inference. Elife. 9. PMID 32515352 DOI: 10.7554/Elife.51140  0.582
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  0.556
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  0.586
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  0.354
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. DOI: 10.1038/s41539-020-00075-3  0.807
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  0.796
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  0.791
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  0.569
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  0.65
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  0.782
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  0.747
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  0.533
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  0.778
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  0.719
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  0.337
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  0.764
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  0.336
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  0.768
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  0.353
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  0.813
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  0.592
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  0.501
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  0.77
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  0.534
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  0.801
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  0.768
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  0.508
2017 Stachenfeld KL, Botvinick MM, Gershman SJ. The hippocampus as a predictive map. Nature Neuroscience. PMID 28967910 DOI: 10.1038/nn.4650  0.584
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  0.816
2017 Kool W, Gershman SJ, Cushman FA. Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems. Psychological Science. 956797617708288. PMID 28731839 DOI: 10.1177/0956797617708288  0.773
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  0.374
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  0.637
2017 Gershman SJ, Monfils MH, Norman KA, Niv Y. The computational nature of memory modification. Elife. 6. PMID 28294944 DOI: 10.7554/eLife.23763  0.684
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  0.792
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  0.572
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  0.648
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  0.678
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  0.777
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  0.572
2016 Gershman SJ. Empirical priors for reinforcement learning models Journal of Mathematical Psychology. 71: 1-6. DOI: 10.1016/j.jmp.2016.01.006  0.343
2015 Gershman SJ. A Unifying Probabilistic View of Associative Learning. Plos Computational Biology. 11: e1004567. PMID 26535896 DOI: 10.1371/journal.pcbi.1004567  0.334
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  0.497
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  0.315
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  0.784
2015 Gershman SJ, Tenenbaum JB, Jäkel F. Discovering hierarchical motion structure. Vision Research. PMID 25818905 DOI: 10.1016/j.visres.2015.03.004  0.696
2015 Gershman SJ, Niv Y. Novelty and Inductive Generalization in Human Reinforcement Learning. Topics in Cognitive Science. PMID 25808176 DOI: 10.1111/tops.12138  0.576
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  0.449
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  0.694
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  0.753
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  0.488
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  0.706
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  0.397
2014 Stachenfeld KL, Botvinick MM, Gershman SJ. Design principles of the hippocampal cognitive map Advances in Neural Information Processing Systems. 3: 2528-2536.  0.493
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  0.674
2013 Gershman SJ, Niv Y. Perceptual estimation obeys Occam's razor. Frontiers in Psychology. 4: 623. PMID 24137136 DOI: 10.3389/fpsyg.2013.00623  0.479
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  0.448
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  0.752
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  0.637
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  0.762
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  0.489
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  0.777
2012 Gershman SJ, Vul E, Tenenbaum JB. Multistability and perceptual inference. Neural Computation. 24: 1-24. PMID 22023198 DOI: 10.1162/NECO_a_00226  0.474
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  0.533
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  0.784
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  0.555
2010 Gershman SJ, Blei DM, Niv Y. Context, learning, and extinction. Psychological Review. 117: 197-209. PMID 20063968 DOI: 10.1037/A0017808  0.524
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.  0.34
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  0.75
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.  0.683
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.  0.397
Low-probability matches (unlikely to be authored by this person)
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  0.298
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  0.298
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  0.294
2015 Gershman SJ. Do learning rates adapt to the distribution of rewards? Psychonomic Bulletin & Review. PMID 25582684 DOI: 10.3758/s13423-014-0790-3  0.294
2020 Lau T, Gershman SJ, Cikara M. Social structure learning in human anterior insula. Elife. 9. PMID 32067635 DOI: 10.7554/Elife.53162  0.289
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  0.286
2016 Gershman SJ. Context-dependent learning and causal structure. Psychonomic Bulletin & Review. PMID 27418259 DOI: 10.3758/s13423-016-1110-x  0.285
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  0.283
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  0.28
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  0.277
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  0.275
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  0.275
2017 Gershman SJ, Pouncy HT, Gweon H. Learning the Structure of Social Influence. Cognitive Science. PMID 28294384 DOI: 10.1111/Cogs.12480  0.271
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  0.27
2019 Gershman SJ, Uchida N. Believing in dopamine. Nature Reviews. Neuroscience. PMID 31570826 DOI: 10.1038/s41583-019-0220-7  0.27
2020 Gershman SJ, Cikara M. Social-Structure Learning Current Directions in Psychological Science. 29: 460-466. DOI: 10.1177/0963721420924481  0.268
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  0.267
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  0.266
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  0.246
2019 Mikhael JG, Gershman SJ. Adapting the Flow of Time with Dopamine. Journal of Neurophysiology. PMID 30864882 DOI: 10.1152/jn.00817.2018  0.244
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  0.24
2017 Gershman SJ. Deconstructing the human algorithms for exploration. Cognition. 173: 34-42. PMID 29289795 DOI: 10.1016/j.cognition.2017.12.014  0.239
2017 Gershman SJ. Dopamine, Inference, and Uncertainty. Neural Computation. 1-16. PMID 28957023 DOI: 10.1162/neco_a_01023  0.235
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  0.232
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  0.23
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  0.229
2021 Dasgupta I, Gershman SJ. Memory as a Computational Resource. Trends in Cognitive Sciences. PMID 33454217 DOI: 10.1016/j.tics.2020.12.008  0.222
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  0.215
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  0.214
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  0.213
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  0.209
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  0.207
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  0.202
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  0.193
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  0.185
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  0.183
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  0.167
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  0.164
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  0.154
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  0.153
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  0.152
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  0.152
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  0.151
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  0.151
2016 Gershman SJ. On the Blessing of Abstraction. Quarterly Journal of Experimental Psychology (2006). 1-9. PMID 26930189 DOI: 10.1080/17470218.2016.1159706  0.129
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  0.124
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  0.116
2020 Schulz E, Quiroga F, Gershman SJ. Communicating Compositional Patterns Open Mind. 4: 25-39. DOI: 10.1162/Opmi_A_00032  0.107
2019 Gershman SJ. Uncertainty and exploration. Decision. 6: 277-286. DOI: 10.1037/DEC0000101  0.088
2017 Gershman SJ, Malmaud J, Tenenbaum JB. Structured representations of utility in combinatorial domains. Decision. 4: 67-86. DOI: 10.1037/dec0000053  0.08
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  0.078
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  0.074
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  0.072
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  0.067
2018 Gershman SJ. How to never be wrong. Psychonomic Bulletin & Review. PMID 29799092 DOI: 10.3758/s13423-018-1488-8  0.066
2019 Gershman SJ. The Generative Adversarial Brain Frontiers in Artificial Intelligence. 2. DOI: 10.3389/frai.2019.00018  0.065
1988 Gershman S. A literature review of midtarsal joint function. Clinics in Podiatric Medicine and Surgery. 5: 385-91. PMID 3282633  0.056
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  0.052
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  0.05
2012 Gershman SJ, Hoffman MD, Blei DM. Nonparametric variational inference Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 663-670.  0.05
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  0.049
1997 Gershman S. [Debate on the paper by Regina Cele de A. Bodstein] Cadernos De Saude Publica. 13: 193-195. PMID 10886843  0.043
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  0.04
2020 Bhui R, Gershman SJ. Paradoxical effects of persuasive messages. Decision. 7: 239-258. DOI: 10.1037/dec0000123  0.036
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  0.032
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  0.026
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  0.023
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  0.011
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  0.01
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