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
Ari E. Kahn post-doc Princeton
Jian Li post-doc NYU
Ross Otto post-doc NYU
P Dylan Rich post-doc Princeton
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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Sagiv Y, Akam T, Witten IB, et al. (2024) Prioritizing replay when future goals are unknown. Biorxiv : the Preprint Server For Biology
Venditto SJC, Miller KJ, Brody CD, et al. (2024) Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning. Biorxiv : the Preprint Server For Biology
Jahn CI, Markov NT, Morea B, et al. (2024) Learning attentional templates for value-based decision-making. Cell
Tafazoli S, Bouchacourt FM, Ardalan A, et al. (2024) Building compositional tasks with shared neural subspaces. Biorxiv : the Preprint Server For Biology
Bustamante LA, Oshinowo T, Lee JR, et al. (2023) Effort Foraging Task reveals positive correlation between individual differences in the cost of cognitive and physical effort in humans. Proceedings of the National Academy of Sciences of the United States of America. 120: e2221510120
Kumar S, Dasgupta I, Daw ND, et al. (2023) Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. Plos Computational Biology. 19: e1011316
Krausz TA, Comrie AE, Kahn AE, et al. (2023) Dual credit assignment processes underlie dopamine signals in a complex spatial environment. Neuron
LeDoux J, Birch J, Andrews K, et al. (2023) Consciousness beyond the human case. Current Biology : Cb. 33: R832-R840
Zorowitz S, Chierchia G, Blakemore SJ, et al. (2023) An item response theory analysis of the matrix reasoning item bank (MaRs-IB). Behavior Research Methods
Nicholas J, Daw ND, Shohamy D. (2022) Uncertainty alters the balance between incremental learning and episodic memory. Elife. 11
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