Prioritized memory access explains planning and hippocampal replay von Mattar, Marcelo G., Daw, Nathaniel D.

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Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework von Gershman, Samuel J, Daw, Nathaniel D

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Self-Evaluation of Decision-Making: A General Bayesian Framework for Metacognitive Computation von Fleming, Stephen M, Daw, Nathaniel D

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Linear reinforcement learning in planning, grid fields, and cognitive control von Piray, Payam, Daw, Nathaniel D.

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A model for learning based on the joint estimation of stochasticity and volatility von Piray, Payam, Daw, Nathaniel D.

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Model-Based Influences on Humans' Choices and Striatal Prediction Errors von Daw, Nathaniel D., Gershman, Samuel J., Seymour, Ben, Dayan, Peter, Dolan, Raymond J.

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Predictive representations can link model-based reinforcement learning to model-free mechanisms von Russek, Evan M, Momennejad, Ida, Botvinick, Matthew M, Gershman, Samuel J, Daw, Nathaniel D

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The algorithmic anatomy of model-based evaluation von Daw, Nathaniel D., Dayan, Peter

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A simple model for learning in volatile environments von Piray, Payam, Daw, Nathaniel D

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Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons von Engelhard, Ben, Finkelstein, Joel, Cox, Julia, Fleming, Weston, Jang, Hee Jae, Ornelas, Sharon, Koay, Sue Ann, Thiberge, Stephan Y., Daw, Nathaniel D., Tank, David W., Witten, Ilana B.

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Biased belief updating and suboptimal choice in foraging decisions von Garrett, Neil, Daw, Nathaniel D.

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Serotonin and Dopamine: Unifying Affective, Activational, and Decision Functions von Cools, Roshan, Nakamura, Kae, Daw, Nathaniel D

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Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies von Piray, Payam, Dezfouli, Amir, Heskes, Tom, Frank, Michael J, Daw, Nathaniel D

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Computational processes of simultaneous learning of stochasticity and volatility in humans von Piray, Payam, Daw, Nathaniel D.

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Learning the opportunity cost of time in a patch-foraging task von Constantino, Sara M., Daw, Nathaniel D.

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Reminders of past choices bias decisions for reward in humans von Bornstein, Aaron M., Khaw, Mel W., Shohamy, Daphna, Daw, Nathaniel D.

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The ubiquity of model-based reinforcement learning von Doll, Bradley B, Simon, Dylan A, Daw, Nathaniel D

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Taking Psychiatry Research Online von Gillan, Claire M., Daw, Nathaniel D.

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Working-memory capacity protects model-based learning from stress von Otto, A. Ross, Raio, Candace M., Chiang, Alice, Phelps, Elizabeth A., Daw, Nathaniel D.

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The importance of mixed selectivity in complex cognitive tasks von Rigotti, Mattia, Barak, Omri, Warden, Melissa R., Wang, Xiao-Jing, Daw, Nathaniel D., Miller, Earl K., Fusi, Stefano

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