Gershman, Samuel J.

Multistability and perceptual inference

Gershman, S. J., Vul, E., & Tenenbaum, J. B. (2012) · Neural Computation

Visual perception and processing mechanismsNeural dynamics and brain function

Cited by 140

The medial prefrontal cortex shapes dopamine reward prediction errors under state uncertainty

Starkweather, C. K., Gershman, S. J., & Uchida, N. (2018) · Neuron

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 136

Human memory reconsolidation can be explained using the temporal context model

Sederberg, P. B., Gershman, S. J., Polyn, S. M., & Norman, K. A. (2011) · Psychonomic Bulletin & Review

Memory Processes and InfluencesMemory and Neural Mechanisms

Cited by 125

Human reinforcement learning subdivides structured action spaces by learning effector-specific values

Gershman, S. J., Pesaran, B., & Daw, N. D. (2009) · The Journal of Neuroscience

Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

Cited by 118

The successor representation and temporal context

Gershman, S. J., Moore, C. D., Todd, M. T., Norman, K. A., & Sederberg, P. B. (2012) · Neural Computation

Memory Processes and InfluencesMemory and Neural Mechanisms

Cited by 117

Toward the neural implementation of structure learning

Tervo, D. G. R., Tenenbaum, J. B., & Gershman, S. J. (2016) · Current Opinion in Neurobiology

Bayesian Modeling and Causal InferenceMemory and Neural Mechanisms

Cited by 106

Neural context reinstatement predicts memory misattribution

Gershman, S. J., Schapiro, A. C., Hupbach, A., & Norman, K. A. (2013) · The Journal of Neuroscience

Memory Processes and InfluencesMemory and Neural Mechanisms

Cited by 105

Belief state representation in the dopamine system

Babayan, B. M., Uchida, N., & Gershman, S. J. (2018) · Nature Communications

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 101

Statistical computations underlying the dynamics of memory updating

Gershman, S. J., Radulescu, A., Norman, K. A., & Niv, Y. (2014) · PLoS Computational Biology

Memory and Neural MechanismsMemory Processes and Influences

Cited by 101

Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs

Patzelt, E. H., Kool, W., Millner, A. J., & Gershman, S. J. (2019) · Biological Psychiatry

Neural and Behavioral Psychology StudiesDecision-Making and Behavioral Economics

Cited by 94

The Generative Adversarial Brain

Gershman, S. J. (2019) · Frontiers in Artificial Intelligence

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 89

Time representation in reinforcement learning models of the basal ganglia

Gershman, S. J., Moustafa, A. A., & Ludvig, E. A. (2014) · Frontiers in Computational Neuroscience

Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

Cited by 81

Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization

Soto, F. A., Gershman, S. J., & Niv, Y. (2014) · Psychological Review

Memory and Neural MechanismsNeural and Behavioral Psychology Studies

Cited by 81

How should the advancement of large language models affect the practice of science?

Binz, M., Alaniz, S., Roskies, A., Aczel, B., Bergstrom, C. T., Allen, C., Schad, D., Wulff, D., West, J. D., Zhang, Q., et al. (2025) · Proceedings of the National Academy of Sciences

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 74

Dopamine neuron ensembles signal the content of sensory prediction errors

Stalnaker, T. A., Howard, J. D., Takahashi, Y. K., Gershman, S. J., Kahnt, T., & Schoenbaum, G. (2019) · eLife

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 74

A theory of learning to infer.

Dasgupta, I., Schulz, E., Tenenbaum, J. B., & Gershman, S. J. (2020) · Psychological Review

Bayesian Modeling and Causal InferenceDecision-Making and Behavioral Economics

Cited by 70

Emergence of belief-like representations through reinforcement learning

Hennig, J. A., Romero Pinto, S. A., Yamaguchi, T., Linderman, S. W., Uchida, N., & Gershman, S. J. (2023) · PLOS Computational Biology

Reinforcement Learning in RoboticsNeural and Behavioral Psychology Studies

Cited by 41

Dopamine, inference, and uncertainty

Gershman, S. J. (2017) · Neural Computation

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 40

Empowerment contributes to exploration behaviour in a creative video game

Brändle, F., Stocks, L. J., Tenenbaum, J. B., Gershman, S. J., & Schulz, E. (2023) · Nature Human Behaviour

Digital Games and MediaEducational Games and Gamification

Cited by 34

Heuristics from bounded meta-learned inference.

Binz, M., Gershman, S. J., Schulz, E., & Endres, D. (2022) · Psychological Review

Decision-Making and Behavioral EconomicsCategorization, perception, and language

Cited by 31

Causal implicatures from correlational statements

Gershman, S. J., & Ullman, T. D. (2023) · PLOS ONE

Bayesian Modeling and Causal InferenceCategorization, perception, and language

Cited by 21

Key-value memory in the brain

Gershman, S. J., Fiete, I., & Irie, K. (2025) · arXiv

Memory and Neural MechanismsMemory Processes and Influences

Cited by 21

Predictive Representations: Building Blocks of Intelligence

Carvalho, W., Tomov, M. S., de Cothi, W., Barry, C., & Gershman, S. J. (2024) · Neural Computation

Reinforcement Learning in RoboticsEmbodied and Extended Cognition

Cited by 15

A probabilistic successor representation for context-dependent learning

Geerts, J. P., Gershman, S. J., Burgess, N., & Stachenfeld, K. L. (2024) · Psychological Review

Memory and Neural MechanismsReinforcement Learning in Robotics

Cited by 14