Nathaniel D. Daw

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Yael NivProfessor of Psychology and Neuroscience, Princeton UniversityAdresse e-mail validée de princeton.edu
Ben SeymourUniversity of OxfordAdresse e-mail validée de ndcn.ox.ac.uk
Daphna ShohamyColumbia UniversityAdresse e-mail validée de columbia.edu
Raymond J DolanUniversity College LondonAdresse e-mail validée de fil.ion.ucl.ac.uk
Elizabeth PhelpsPershing Square Professor of Human Neuroscience, Harvard UniversityAdresse e-mail validée de fas.harvard.edu
David TouretzkyProfessor of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
John P. O'DohertyProfessor of Psychology, California Institute of TechnologyAdresse e-mail validée de caltech.edu
Aaron CourvilleUniversité de MontréalAdresse e-mail validée de umontreal.ca
Samuel GershmanProfessor, Harvard UniversityAdresse e-mail validée de fas.harvard.edu
Prof. T.W. RobbinsUniversity of CambridgeAdresse e-mail validée de cam.ac.uk
Ross OttoDepartment of Psychology, McGill UniversityAdresse e-mail validée de psych.mcgill.ca
Sham M KakadeUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Bradley DolldataAdresse e-mail validée de nyu.edu
Jonathan D. CohenProfessor of Psychology, Co-Director of Princeton Neuroscience Institute, Princeton UniversityAdresse e-mail validée de princeton.edu
Claire M. GillanAssociate Professor, School of Psychology & Global Brain Health Institute, Trinity College DublinAdresse e-mail validée de tcd.ie
Aaron M. BornsteinDepartment of Cognitive Sciences and Center for the Neurobiology of Learning and Memory, UC IrvineAdresse e-mail validée de uci.edu
Valerie VoonUniversity of CambridgeAdresse e-mail validée de cam.ac.uk
Daphna JoelDepartment of Psychology, Tel-Aviv UniversityAdresse e-mail validée de post.tau.ac.il
Jian LiSchool of Psychological and Cognitive Sciences, Peking UniversityAdresse e-mail validée de pku.edu.cn
Steve FlemingUCLAdresse e-mail validée de ucl.ac.uk

Nathaniel D. Daw

Professor of Neurocience and Psychology, Princeton University

Adresse e-mail validée de princeton.edu - Page d'accueil


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control ND Daw, Y Niv, P Dayan Nature neuroscience 8 (12), 1704-1711, 2005	2294	2005
Cortical substrates for exploratory decisions in humans ND Daw, JP O'doherty, P Dayan, B Seymour, RJ Dolan Nature 441 (7095), 876-879, 2006	2025	2006
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	1307	2011
States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning J Gläscher, N Daw, P Dayan, JP O'Doherty Neuron 66 (4), 585-595, 2010	1059	2010
The importance of mixed selectivity in complex cognitive tasks M Rigotti, O Barak, MR Warden, XJ Wang, ND Daw, EK Miller, S Fusi Nature 497 (7451), 585-590, 2013	980	2013
Tonic dopamine: opportunity costs and the control of response vigor Y Niv, ND Daw, D Joel, P Dayan Psychopharmacology 191 (3), 507-520, 2007	941	2007
Opponent interactions between serotonin and dopamine ND Daw, S Kakade, P Dayan Neural networks 15 (4-6), 603-616, 2002	841	2002
The computational neurobiology of learning and reward ND Daw, K Doya Current opinion in neurobiology 16 (2), 199-204, 2006	587	2006
Decision theory, reinforcement learning, and the brain P Dayan, ND Daw Cognitive, Affective, & Behavioral Neuroscience 8 (4), 429-453, 2008	536	2008
A computational substrate for incentive salience SM McClure, ND Daw, PR Montague Trends in neurosciences 26 (8), 423-428, 2003	479	2003
Differential encoding of losses and gains in the human striatum B Seymour, N Daw, P Dayan, T Singer, R Dolan Journal of Neuroscience 27 (18), 4826-4831, 2007	458	2007
Bayesian theories of conditioning in a changing world AC Courville, ND Daw, DS Touretzky Trends in cognitive sciences 10 (7), 294-300, 2006	441	2006
Trial-by-trial data analysis using computational models ND Daw Decision making, affect, and learning: Attention and performance XXIII 23 (1), 2011	410	2011
Disorders of compulsivity: a common bias towards learning habits V Voon, K Derbyshire, C Rück, MA Irvine, Y Worbe, J Enander, ... Molecular psychiatry 20 (3), 345-352, 2015	405	2015
Serotonin and dopamine: unifying affective, activational, and decision functions R Cools, K Nakamura, ND Daw Neuropsychopharmacology 36 (1), 98-113, 2011	403	2011
Reinforcement learning signals in the human striatum distinguish learners from nonlearners during reward-based decision making T Schönberg, ND Daw, D Joel, JP O'Doherty Journal of Neuroscience 27 (47), 12860-12867, 2007	382	2007
Working-memory capacity protects model-based learning from stress AR Otto, CM Raio, A Chiang, EA Phelps, ND Daw Proceedings of the National Academy of Sciences 110 (52), 20941-20946, 2013	373	2013
Reward-learning and the novelty-seeking personality: a between-and within-subjects study of the effects of dopamine agonists on young Parkinson's patients N Bódi, S Kéri, H Nagy, A Moustafa, CE Myers, N Daw, G Dibó, A Takats, ... Brain 132 (9), 2385-2395, 2009	347	2009
A dual role for prediction error in associative learning HEM Den Ouden, KJ Friston, ND Daw, AR McIntosh, KE Stephan Cerebral cortex 19 (5), 1175-1185, 2009	328	2009
The ubiquity of model-based reinforcement learning BB Doll, DA Simon, ND Daw Current opinion in neurobiology 22 (6), 1075-1081, 2012	319	2012

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