Nathaniel D. Daw

New York University, New York, NY, United States 
 Princeton University, Princeton, NJ 
Reward, learning, and decision making
"Nathaniel Daw"
Mean distance: 12.82 (cluster 23)


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Mark Gluck research assistant Rutgers, New Brunswick
David Touretzky grad student 2003 Carnegie Mellon
 (Reinforcement learning models of the dopamine system and their behavioral implications.)
Peter Dayan post-doc UCL


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Yoel Sanchez Araujo research assistant Princeton
Lindsay E. Hunter grad student Princeton
Sarah A. Hutter grad student Princeton
Yoel Sanchez Araujo grad student Princeton
Oliver M Vikbladh grad student Princeton Neuroscience Institute
Sarah Jo Venditto grad student 2017- Princeton
Yotam Sagiv grad student 2018- Princeton
Dylan Alexander Simon grad student 2007-2012 NYU
Nicholas J Gustafson grad student 2013 NYU
Aaron M. Bornstein grad student 2007-2013 NYU
Hanneke EM den Ouden post-doc NYU
Steve Fleming post-doc
Jian Li post-doc NYU
Ross Otto post-doc NYU
Hang Zhang post-doc 2011- NYU
Ida Momennejad post-doc 2015- Princeton
Marcelo Gomes Mattar post-doc 2016- Princeton
Sam J. Gershman research scientist 2007-2008 NYU


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Nina Galbraith Curley collaborator NYU
Song Qi collaborator
G. Elliott Wimmer collaborator 2007- Columbia
Sreejan Kumar collaborator 2019-
BETA: Related publications


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Hunter LE, Meer EA, Gillan CM, et al. (2021) Increased and biased deliberation in social anxiety. Nature Human Behaviour
Piray P, Daw ND. (2021) Linear reinforcement learning in planning, grid fields, and cognitive control. Nature Communications. 12: 4942
Agrawal M, Mattar MG, Cohen JD, et al. (2021) The temporal dynamics of opportunity costs: A normative account of cognitive fatigue and boredom. Psychological Review
Liu Y, Mattar MG, Behrens TEJ, et al. (2021) Experience replay is associated with efficient nonlocal learning. Science (New York, N.Y.). 372
Zorowitz S, Momennejad I, Daw ND. (2020) Anxiety, avoidance, and sequential evaluation. Computational Psychiatry (Cambridge, Mass.). 4
Garrett N, Daw ND. (2020) Biased belief updating and suboptimal choice in foraging decisions. Nature Communications. 11: 3417
Piray P, Daw ND. (2020) A simple model for learning in volatile environments. Plos Computational Biology. 16: e1007963
Dundon NM, Garrett N, Babenko V, et al. (2020) Sympathetic involvement in time-constrained sequential foraging. Cognitive, Affective & Behavioral Neuroscience
Langdon AJ, Daw ND. (2020) Beyond the Average View of Dopamine. Trends in Cognitive Sciences
Daw N. (2020) Model-Based and Model-Free Learning in Anorexia Nervosa and Other Disorders Biological Psychiatry. 87
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