Samuel J. Gershman - Concepedia

Author

Samuel J. Gershman

Also Known As

Gershman, Samuel, Gershman, Samuel J., S. Gershman, S. J. Gershman, SJ Gershman, Samuel Gershman, Samuel J Gershman, Samuel J. Gershman, Samuel Joseph Gershman, Samuel. J. Gershman

440

Publications

20.7K

Citations

H-Index

239

Concepts

All Affiliations

Harvard University Massachusetts Institute of Technology Princeton University Center for Pain and the Brain Harvard University Press

About

Samuel J. Gershman is an author at Harvard University specializing in cognitive science, social sciences, and cognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	35	3.6K
2	Arts	8	8	296
3	Language Studies	7	7	417
4	Education	5	5	255
5	Business	4	4	458

Samuel J. Gershman

178

Publications

16.8K

Citations

H-Index

Page 1

	Year	Citations
Model-Based Influences on Humans' Choices and Striatal Prediction Errors Nathaniel D. Daw, Samuel J. Gershman, Ben Seymour, Neuron	2011	1.9K
The hippocampus as a predictive map Kimberly Stachenfeld, Matthew Botvinick, Samuel J. Gershman Nature Neuroscience Cognitive ScienceComputational NeuroscienceCortical RemodelingMemoryNeuroscience	2017	1K
A tutorial on Bayesian nonparametric models Samuel J. Gershman, David M. Blei Journal of Mathematical Psychology Bayesian StatisticBayesian StatisticsEngineeringStatistical InferenceProbability Theory	2011	601
Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms Yael Niv, Reka Daniel, Andra Geana, Journal of Neuroscience	2015	402
The successor representation in human reinforcement learning Ida Momennejad, Evan M. Russek, Jin Hyun Cheong, Nature Human Behaviour Artificial IntelligenceCognitive ScienceEngineeringAgent Decision-makingAction Model Learning	2017	394
The Curse of Planning A. Ross Otto, Samuel J. Gershman, Arthur B. Markman, Psychological Science	2013	372
Toward a universal decoder of linguistic meaning from brain activation Francisco Pereira, Bin Lou, Brianna Pritchett, Nature Communications	2018	342
Predictive representations can link model-based reinforcement learning to model-free mechanisms Evan M. Russek, Ida Momennejad, Matthew Botvinick, PLoS Computational Biology Artificial IntelligenceEngineeringMachine LearningPredictive RepresentationsIntelligent Systems	2017	339
A Unified Framework for Dopamine Signals across Timescales HyungGoo R. Kim, Athar N. Malik, John G. Mikhael, Cell NeurodynamicsComputational NeuroscienceDopamine SignalsAffective NeuroscienceNeuroscience	2020	325
Deconstructing the human algorithms for exploration Samuel J. Gershman Cognition Artificial IntelligenceCognitive ScienceEngineeringReward HackingHuman Algorithms	2017	275

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