| Year |
Citation |
Score |
| 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 |
1 |
|
| 2020 |
Gershman SJ, Bhui R. Rationally inattentive intertemporal choice. Nature Communications. 11: 3365. PMID 32620804 DOI: 10.1038/s41467-020-16852-y |
1 |
|
| 2020 |
Sanders H, Wilson MA, Gershman SJ. Hippocampal remapping as hidden state inference. Elife. 9. PMID 32515352 DOI: 10.7554/eLife.51140 |
0.96 |
|
| 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 |
0.88 |
|
| 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 |
0.88 |
|
| 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 |
0.76 |
|
| 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 |
1 |
|
| 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 |
0.6 |
|
| 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 |
1 |
|
| 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 |
0.96 |
|
| 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 |
1 |
|
| 2019 |
Mikhael JG, Gershman SJ. Adapting the Flow of Time with Dopamine. Journal of Neurophysiology. PMID 30864882 DOI: 10.1152/jn.00817.2018 |
0.6 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
0.64 |
|
| 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 |
0.64 |
|
| 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 |
0.6 |
|
| 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 |
0.96 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
0.6 |
|
| 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 |
0.84 |
|
| 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 |
1 |
|
| 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 |
0.4 |
|
| 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 |
0.76 |
|
| 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 |
0.64 |
|
| 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 |
0.76 |
|
| 2017 |
Stachenfeld KL, Botvinick MM, Gershman SJ. The hippocampus as a predictive map. Nature Neuroscience. PMID 28967910 DOI: 10.1038/nn.4650 |
0.84 |
|
| 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 |
1 |
|
| 2017 |
Kool W, Gershman SJ, Cushman FA. Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems. Psychological Science. 956797617708288. PMID 28731839 DOI: 10.1177/0956797617708288 |
1 |
|
| 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 |
0.6 |
|
| 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 |
1 |
|
| 2017 |
Gershman SJ, Monfils MH, Norman KA, Niv Y. The computational nature of memory modification. Elife. 6. PMID 28294944 DOI: 10.7554/eLife.23763 |
1 |
|
| 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 |
0.4 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2016 |
Gershman SJ. On the Blessing of Abstraction. Quarterly Journal of Experimental Psychology (2006). 1-9. PMID 26930189 DOI: 10.1080/17470218.2016.1159706 |
1 |
|
| 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 |
1 |
|
| 2016 |
Gershman SJ. Empirical priors for reinforcement learning models Journal of Mathematical Psychology. 71: 1-6. DOI: 10.1016/j.jmp.2016.01.006 |
1 |
|
| 2015 |
Gershman SJ. A Unifying Probabilistic View of Associative Learning. Plos Computational Biology. 11: e1004567. PMID 26535896 DOI: 10.1371/journal.pcbi.1004567 |
1 |
|
| 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 |
0.84 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2015 |
Gershman SJ, Tenenbaum JB, Jäkel F. Discovering hierarchical motion structure. Vision Research. PMID 25818905 DOI: 10.1016/j.visres.2015.03.004 |
0.76 |
|
| 2015 |
Gershman SJ, Niv Y. Novelty and Inductive Generalization in Human Reinforcement Learning. Topics in Cognitive Science. PMID 25808176 DOI: 10.1111/tops.12138 |
1 |
|
| 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 |
1 |
|
| 2015 |
Gershman SJ. Do learning rates adapt to the distribution of rewards? Psychonomic Bulletin & Review. PMID 25582684 DOI: 10.3758/s13423-014-0790-3 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2014 |
Stachenfeld KL, Botvinick MM, Gershman SJ. Design principles of the hippocampal cognitive map Advances in Neural Information Processing Systems. 3: 2528-2536. |
1 |
|
| 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 |
1 |
|
| 2013 |
Gershman SJ, Niv Y. Perceptual estimation obeys Occam's razor. Frontiers in Psychology. 4: 623. PMID 24137136 DOI: 10.3389/fpsyg.2013.00623 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2012 |
Gershman SJ, Vul E, Tenenbaum JB. Multistability and perceptual inference. Neural Computation. 24: 1-24. PMID 22023198 DOI: 10.1162/NECO_a_00226 |
1 |
|
| 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 |
1 |
|
| 2012 |
Gershman SJ, Hoffman MD, Blei DM. Nonparametric variational inference Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 663-670. |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2010 |
Gershman SJ, Blei DM, Niv Y. Context, learning, and extinction. Psychological Review. 117: 197-209. PMID 20063968 DOI: 10.1037/a0017808 |
1 |
|
| 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. |
1 |
|
| 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 |
1 |
|
| 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. |
1 |
|
| 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. |
1 |
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