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Cognitive, Affective & Behavioral Neuroscience|April 29, 2015
Learning the opportunity cost of time in a patch-foraging taskSara M Constantino, Nathaniel D DawThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 10, 2017
Chronic and Acute Stress Promote Overexploitation in Serial Decision MakingJennifer K Lenow, Sara M Constantino, Nathaniel D Daw, et al.Nature Communications|August 17, 2021
Linear reinforcement learning in planning, grid fields, and cognitive controlPayam Piray, Nathaniel D DawPlos Computational Biology|July 2, 2020
A simple model for learning in volatile environmentsPayam Piray, Nathaniel D DawCurrent Opinion in Neurobiology|March 28, 2006
The computational neurobiology of learning and rewardNathaniel D Daw, Kenji DoyaNature Communications|October 21, 2024
Computational processes of simultaneous learning of stochasticity and volatility in humansPayam Piray, Nathaniel D DawNature Communications|August 12, 2025
Reconciling flexibility and efficiency: medial entorhinal cortex represents a compositional cognitive mapPayam Piray, Nathaniel D DawNature Communications|November 16, 2021
A model for learning based on the joint estimation of stochasticity and volatilityPayam Piray, Nathaniel D DawThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 8, 2011
Signals in human striatum are appropriate for policy update rather than value predictionJian Li, Nathaniel D DawPhilosophical Transactions of the Royal Society of London. Series B, Biological Sciences|October 1, 2014
The algorithmic anatomy of model-based evaluationNathaniel D Daw, Peter DayanPageof 17