Nathaniel D. Daw

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

Nathaniel D. Daw

Professor of Neurocience and Psychology, Princeton University

Verified email at princeton.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2237	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	1971	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	1270	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	1030	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	941	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	920	2007
Opponent interactions between serotonin and dopamine ND Daw, S Kakade, P Dayan Neural networks 15 (4-6), 603-616, 2002	827	2002
The computational neurobiology of learning and reward ND Daw, K Doya Current opinion in neurobiology 16 (2), 199-204, 2006	574	2006
Decision theory, reinforcement learning, and the brain P Dayan, ND Daw Cognitive, Affective, & Behavioral Neuroscience 8 (4), 429-453, 2008	518	2008
A computational substrate for incentive salience SM McClure, ND Daw, PR Montague Trends in neurosciences 26 (8), 423-428, 2003	469	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	454	2007
Bayesian theories of conditioning in a changing world AC Courville, ND Daw, DS Touretzky Trends in cognitive sciences 10 (7), 294-300, 2006	436	2006
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	391	2015
Serotonin and dopamine: unifying affective, activational, and decision functions R Cools, K Nakamura, ND Daw Neuropsychopharmacology 36 (1), 98-113, 2011	391	2011
Trial-by-trial data analysis using computational models ND Daw Decision making, affect, and learning: Attention and performance XXIII 23 (1), 2011	381	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	372	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	360	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	342	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	325	2009
The misbehavior of value and the discipline of the will P Dayan, Y Niv, B Seymour, ND Daw Neural networks 19 (8), 1153-1160, 2006	310	2006

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