Samuel Gershman

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Joshua B. TenenbaumMITE-mailová adresa ověřena na: mit.edu
Yael NivProfessor of Psychology and Neuroscience, Princeton UniversityE-mailová adresa ověřena na: princeton.edu
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityE-mailová adresa ověřena na: princeton.edu
Eric SchulzMax Planck Institute for Biological CyberneticsE-mailová adresa ověřena na: tue.mpg.de
Matthew BotvinickDirector of Neuroscience Research, Team Lead in AI Research, DeepMindE-mailová adresa ověřena na: google.com
Nathaniel D. DawHuo Professor of Computational and Theoretical Neuroscience, Princeton UniversityE-mailová adresa ověřena na: princeton.edu
Tomer UllmanAssistant Professor, HarvardE-mailová adresa ověřena na: fas.harvard.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityE-mailová adresa ověřena na: columbia.edu
Kimberly Lauren StachenfeldResearch Scientist, DeepMindE-mailová adresa ověřena na: google.com
Fiery CushmanPsychology, Harvard UniversityE-mailová adresa ověřena na: fas.harvard.edu
Wouter KoolAssistant Professor at Washington University in St. LouisE-mailová adresa ověřena na: wustl.edu
Naoshige UchidaProfessor of Molecular and Cellular Biology, Harvard UniversityE-mailová adresa ověřena na: mcb.harvard.edu
Ishita DasguptaResearch Scientist, DeepMind New York CityE-mailová adresa ověřena na: google.com
Noah D. GoodmanStanford UniversityE-mailová adresa ověřena na: stanford.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityE-mailová adresa ověřena na: nyu.edu
Rahul BhuiMassachusetts Institute of TechnologyE-mailová adresa ověřena na: mit.edu
Marie MonfilsProfessor; The University of Texas at AustinE-mailová adresa ověřena na: utexas.edu
John G. MikhaelHarvardE-mailová adresa ověřena na: hms.harvard.edu
Per B. SederbergAssociate Professor of Psychology, University of VirginiaE-mailová adresa ověřena na: virginia.edu
Ida MomennejadMicrosoft ResearchE-mailová adresa ověřena na: microsoft.com

Sledovat

Samuel Gershman

Professor, Harvard University

E-mailová adresa ověřena na: fas.harvard.edu - Domovská stránka

Computational neuroscience cognitive science machine learning


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	2015	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	1493	2011
A tutorial on Bayesian nonparametric models SJ Gershman, DM Blei Journal of Mathematical Psychology 56, 1-12, 2012	595	2012
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines SJ Gershman, EJ Horvitz, JB Tenenbaum Science 349 (6245), 273-278, 2015	552	2015
The hippocampus as a predictive map KL Stachenfeld, MM Botvinick, SJ Gershman Nature Neuroscience 20, 1643-1653, 2017	519	2017
Reinforcement learning and episodic memory in humans and animals: an integrative framework SJ Gershman, ND Daw Annual review of psychology 68, 101, 2017	348	2017
Context, learning, and extinction SJ Gershman, DM Blei, Y Niv Psychological Review 117 (1), 197-209, 2010	348	2010
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	319	2013
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	290	2015
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	285	2017
Amortized Inference in Probabilistic Reasoning SJ Gershman, ND Goodman Proceedings of the 36th Annual Cognitive Science Society, 2013	278	2013
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	255	2014
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	242	2017
Learning latent structure: carving nature at its joints SJ Gershman, Y Niv Current Opinion in Neurobiology 20 (2), 251-256, 2010	240	2010
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	234	2015
Cost-benefit arbitration between multiple reinforcement-learning systems W Kool, SJ Gershman, FA Cushman Psychological science 28 (9), 1321-1333, 2017	192	2017
Deep successor reinforcement learning TD Kulkarni, A Saeedi, S Gautam, SJ Gershman arXiv preprint arXiv:1606.02396, 2016	189	2016
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), 1-13, 2018	188	2018
Nonparametric variational inference S Gershman, M Hoffman, D Blei Proceedings of the 29th International Conference on Machine Learning, 2012	155	2012
Dopamine reward prediction errors reflect hidden-state inference across time CK Starkweather, BM Babayan, N Uchida, SJ Gershman Nature neuroscience 20 (4), 581-589, 2017	141	2017

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