Samuel Gershman

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2019
Позовавания	25769	20602
h-индекс	79	76
i10-индекс	181	181

4200

2100

1050

3150

2011201220132014201520162017201820192020202120222023202472 161 258 351 521 695 1128 1680 2319 3392 3274 3653 3718 4197

Публичен достъп

Преглед на всички

164 статии

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Въз основа на изисквания при финансирането

Съавтори

Joshua B. TenenbaumMITПотвърден имейл адрес: mit.edu
Yael NivProfessor of Psychology and Neuroscience, Princeton UniversityПотвърден имейл адрес: princeton.edu
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityПотвърден имейл адрес: princeton.edu
Eric SchulzHelmholtz MunichПотвърден имейл адрес: helmholtz-munich.de
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonПотвърден имейл адрес: google.com
Tomer UllmanAssistant Professor, HarvardПотвърден имейл адрес: fas.harvard.edu
Nathaniel D. DawHuo Professor of Computational and Theoretical Neuroscience, Princeton UniversityПотвърден имейл адрес: princeton.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityПотвърден имейл адрес: columbia.edu
Fiery CushmanPsychology, Harvard UniversityПотвърден имейл адрес: fas.harvard.edu
Naoshige UchidaProfessor of Molecular and Cellular Biology, Harvard UniversityПотвърден имейл адрес: mcb.harvard.edu
Kimberly Lauren StachenfeldResearch Scientist, Google DeepMindПотвърден имейл адрес: google.com
Rahul BhuiMassachusetts Institute of TechnologyПотвърден имейл адрес: mit.edu
Wouter KoolAssistant Professor at Washington University in St. LouisПотвърден имейл адрес: wustl.edu
Ishita DasguptaSenior Research Scientist, DeepMindПотвърден имейл адрес: google.com
Momchil S. TomovHarvard UniversityПотвърден имейл адрес: g.harvard.edu
Noah D. GoodmanStanford UniversityПотвърден имейл адрес: stanford.edu
John G. MikhaelHarvardПотвърден имейл адрес: hms.harvard.edu
Brenden M. LakeAssociate Professor, New York UniversityПотвърден имейл адрес: nyu.edu
Lucy LaiHarvard University, Okinawa Institute of Science and TechnologyПотвърден имейл адрес: g.harvard.edu
Per B. SederbergProfessor of Psychology, University of VirginiaПотвърден имейл адрес: virginia.edu

Следене

Samuel Gershman

Professor, Harvard University

Потвърден имейл адрес: fas.harvard.edu - Начална страница

Computational neuroscience cognitive science machine learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, e253, 2017	3335	2017
Model-based influences on humans' choices and striatal prediction errors ND Daw, SJ Gershman, B Seymour, P Dayan, RJ Dolan Neuron 69 (6), 1204-1215, 2011	2027	2011
The hippocampus as a predictive map KL Stachenfeld, MM Botvinick, SJ Gershman Nature Neuroscience 20, 1643-1653, 2017	964	2017
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines SJ Gershman, EJ Horvitz, JB Tenenbaum Science 349 (6245), 273-278, 2015	854	2015
A tutorial on Bayesian nonparametric models SJ Gershman, DM Blei Journal of Mathematical Psychology 56, 1-12, 2012	743	2012
Reinforcement learning and episodic memory in humans and animals: an integrative framework SJ Gershman, ND Daw Annual review of psychology 68 (1), 101-128, 2017	546	2017
Context, learning, and extinction SJ Gershman, DM Blei, Y Niv Psychological Review 117 (1), 197-209, 2010	458	2010
The successor representation in human reinforcement learning I Momennejad, EM Russek, JH Cheong, MM Botvinick, ND Daw, ... Nature human behaviour 1 (9), 680-692, 2017	454	2017
Reinforcement learning in multidimensional environments relies on attention mechanisms Y Niv, R Daniel, A Geana, SJ Gershman, YC Leong, A Radulescu, ... Journal of Neuroscience 35 (21), 8145-8157, 2015	440	2015
Amortized Inference in Probabilistic Reasoning SJ Gershman, ND Goodman Proceedings of the 36th Annual Cognitive Science Society, 2013	415	2013
The curse of planning: Dissecting multiple reinforcement learning systems by taxing the central executive AR Otto, SJ Gershman, AB Markman, ND Daw Psychological Science 24 (5), 751-761, 2013	406	2013
Toward a universal decoder of linguistic meaning from brain activation F Pereira, B Lou, B Pritchett, S Ritter, SJ Gershman, N Kanwisher, ... Nature communications 9 (1), 963, 2018	377	2018
Predictive representations can link model-based reinforcement learning to model-free mechanisms EM Russek, I Momennejad, MM Botvinick, SJ Gershman, ND Daw PLoS computational biology 13 (9), e1005768, 2017	353	2017
Learning latent structure: carving nature at its joints SJ Gershman, Y Niv Current Opinion in Neurobiology 20 (2), 251-256, 2010	349	2010
Retrospective revaluation in sequential decision making: A tale of two systems SJ Gershman, AB Markman, AR Otto Journal of Experimental Psychology: General 143, 182-194, 2014	304	2014
Cost-benefit arbitration between multiple reinforcement-learning systems W Kool, SJ Gershman, FA Cushman Psychological science 28 (9), 1321-1333, 2017	303	2017
Interplay of approximate planning strategies QJM Huys, N Lally, P Faulkner, N Eshel, E Seifritz, SJ Gershman, ... Proceedings of the National Academy of Sciences 112 (10), 3098-3103, 2015	300	2015
Deep successor reinforcement learning TD Kulkarni, A Saeedi, S Gautam, SJ Gershman arXiv preprint arXiv:1606.02396, 2016	268	2016
Deconstructing the human algorithms for exploration SJ Gershman Cognition 173, 34-42, 2018	267	2018
A unified framework for dopamine signals across timescales HGR Kim, AN Malik, JG Mikhael, P Bech, I Tsutsui-Kimura, F Sun, ... Cell 183 (6), 1600-1616. e25, 2020	237	2020

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