Nathaniel D. Daw

59 papers A* 4B 15Misc 1Journal 32Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Discovering Symbolic Cognitive Models from Human and Animal Behavior. ICML Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Noémi Élteto, Will Dabney, Alexander Novikov, Glenn C. Turner, Maria K. Eckstein, Nathaniel D. Daw, Kevin J. Miller, Kim Stachenfeld
2025	B	`conf`	How goals affect information seeking. CogSci Gili Karni, Nathaniel D. Daw, Yael Niv
2025	J	`jnl`	Inferring System and Optimal Control Parameters of Closed-Loop Systems from Partial Observations. CoRR Victor Geadah, Juncal Arbelaiz, Harrison Ritz, Nathaniel D. Daw, Jonathan D. Cohen, Jonathan W. Pillow
2025	J	`jnl`	Trial-by-trial learning of successor representations in human behavior. PLoS Comput. Biol. Ari E. Kahn, Dani S. Bassett, Nathaniel D. Daw
2024	B	`conf`	Anxiety symptoms of major depression associated with increased willingness to exert cognitive, but not physical effort. CogSci Laura Bustamante, Deanna M. Barch, Johanne Solis, Temitope Oshinowo, Ivan Grahek, Anna B. Konova, Nathaniel D. Daw, Jonathan Cohen
2024	—	`conf`	Inferring System and Optimal Control Parameters of Closed-Loop Systems from Partial Observations. CDC Victor Geadah, Juncal Arbelaiz, Harrison Ritz, Nathaniel D. Daw, Jonathan D. Cohen, Jonathan W. Pillow
2024	B	`conf`	Program-Based Strategy Induction for Reinforcement Learning. CogSci Carlos G. Correa, Tom Griffiths, Nathaniel D. Daw
2024	J	`jnl`	Program-Based Strategy Induction for Reinforcement Learning. CoRR Carlos G. Correa, Thomas L. Griffiths, Nathaniel D. Daw
2024	B	`conf`	Temporally extended decision-making through episodic sampling. CogSci Corey Yishan Zhou, Deborah Talmi, Nathaniel D. Daw, Marcelo G. Mattar
2024	J	`jnl`	The role of training variability for model-based and model-free learning of an arbitrary visuomotor mapping. PLoS Comput. Biol. Carlos A. Velázquez-Vargas, Nathaniel D. Daw, Jordan A. Taylor
2023	J	`jnl`	Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. PLoS Comput. Biol. Sreejan Kumar, Ishita Dasgupta, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
2023	J	`jnl`	Exploring the hierarchical structure of human plans via program generation. CoRR Carlos G. Correa, Sophia Sanborn, Mark K. Ho, Frederick Callaway, Nathaniel D. Daw, Thomas L. Griffiths
2023	J	`jnl`	Humans decompose tasks by trading off utility and computational cost. PLoS Comput. Biol. Carlos G. Correa, Mark K. Ho, Frederick Callaway, Nathaniel D. Daw, Thomas L. Griffiths
2023	B	`conf`	Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making. CogSci Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, Kevin J. Miller
2023	A*	`conf`	Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis. NeurIPS Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel D. Daw, Gregory Wayne
2023	J	`jnl`	Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis. CoRR Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel D. Daw, Gregory Wayne
2022	J	`jnl`	Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. CoRR Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
2022	J	`jnl`	Humans decompose tasks by trading off utility and computational cost. CoRR Carlos G. Correa, Mark K. Ho, Frederick Callaway, Nathaniel D. Daw, Thomas L. Griffiths
2022	B	`conf`	Leveraging psychometrics of rational inattention to estimate individual differences in the capacity for cognitive control. CogSci Ham Huang, Ivan Grahek, Laura Bustamante, Nathaniel D. Daw, Andrew Caplin, Sebastian Musslick
2022	J	`jnl`	Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths
2022	A*	`conf`	Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
2021	J	`jnl`	Deficient Goal-Directed Control in a Population Characterized by Extreme Goal Pursuit. J. Cogn. Neurosci. Karin Foerde, Nathaniel D. Daw, Teresa Rufin, B. Timothy Walsh, Daphna Shohamy, Joanna E. Steinglass
2021	A*	`conf`	Meta-Learning of Structured Task Distributions in Humans and Machines. ICLR Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
2020	J	`jnl`	A Computational Role for Top-Down Modulation from Frontal Cortex in Infancy. J. Cogn. Neurosci. Sagi Jaffe-Dax, Alex M. Boldin, Nathaniel D. Daw, Lauren L. Emberson
2020	J	`jnl`	A simple model for learning in volatile environments. PLoS Comput. Biol. Payam Piray, Nathaniel D. Daw
2020	J	`jnl`	Meta-Learning of Compositional Task Distributions in Humans and Machines. CoRR Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
2019	J	`jnl`	Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. PLoS Comput. Biol. Payam Piray, Amir Dezfouli, Tom Heskes, Michael J. Frank, Nathaniel D. Daw
2018	B	`conf`	Novel methods for measuring the cost of cognitive control in a patch foraging task and a demand selection task with Stroop. CogSci Laura Bustamante, Augustus Baker, Allison Burton, Amitai Shenhav, Chloe Hoeber, Nathaniel D. Daw, Jonathan Cohen
2017	B	`conf`	Intolerance to uncertainty is associated with diminished exploration. CogSci Jennifer Lenow, Nathaniel D. Daw, Elizabeth A. Phelps
2017	B	`conf`	Mechanisms of overharvesting in patch foraging. CogSci Gary Kane, Aaron M. Bornstein, Robert Wilson, Amitai Shenhav, Nathaniel D. Daw, Jonathan Cohen
2017	B	`conf`	Pre-term infants exhibit impaired prediction and learning in Audio-Visual association paradigm. CogSci Sagi Jaffe-Dax, Alex M. Boldin, Nathaniel D. Daw, Lauren L. Emberson
2017	J	`jnl`	Predictive representations can link model-based reinforcement learning to model-free mechanisms. PLoS Comput. Biol. Evan M. Russek, Ida Momennejad, Matthew M. Botvinick, Samuel J. Gershman, Nathaniel D. Daw
2017	J	`jnl`	Suboptimal Criterion Learning in Static and Dynamic Environments. PLoS Comput. Biol. Elyse H. Norton, Stephen M. Fleming, Nathaniel D. Daw, Michael S. Landy
2016	B	`conf`	Boredom, Information-Seeking and Exploration. CogSci Andra Geana, Robert Wilson, Nathaniel D. Daw, Jonathan Cohen
2016	B	`conf`	Information-Seeking, Learning and the Marginal Value Theorem: A Normative Approach to Adaptive Exploration. CogSci Andra Geana, Robert Wilson, Nathaniel D. Daw, Jonathan Cohen
2015	J	`jnl`	Cognitive Control Predicts Use of Model-based Reinforcement Learning. J. Cogn. Neurosci. A. Ross Otto, Anya Skatova, Seth Madlon-Kay, Nathaniel D. Daw
2014	B	`conf`	Cognitive Control Mode Predicts Behavioral Expression of Model-Based Reinforcement-Learning. CogSci A. Ross Otto, Anya Skatova, Seth Madlon-Kay, Nathaniel D. Daw
2013	J	`jnl`	Action selection in multi-effector decision making. NeuroImage Seth Madlon-Kay, Bijan Pesaran, Nathaniel D. Daw
2013	J	`jnl`	Cortical and Hippocampal Correlates of Deliberation during Model-Based Decisions for Rewards in Humans. PLoS Comput. Biol. Aaron M. Bornstein, Nathaniel D. Daw
2013	J	`jnl`	Testing Whether Humans Have an Accurate Model of Their Own Motor Uncertainty in a Speeded Reaching Task. PLoS Comput. Biol. Hang Zhang, Nathaniel D. Daw, Laurence T. Maloney
2013	J	`jnl`	The importance of mixed selectivity in complex cognitive tasks. Nat. Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao-Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi
2012	B	`conf`	Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan. CogSci Kenji Doya, John P. O'Doherty, Alexandre Pouget, Peter Bossaerts, Nathaniel D. Daw, Yael Niv
2011	—	`conf`	Environmental statistics and the trade-off between model-based and TD learning in humans. NIPS Dylan A. Simon, Nathaniel D. Daw
2011	J	`jnl`	Grid Cells, Place Cells, and Geodesic Generalization for Spatial Reinforcement Learning. PLoS Comput. Biol. Nicholas J. Gustafson, Nathaniel D. Daw
2011	B	`conf`	Moving Beyond Where and What to How: Using Models and fMRI to Understand Brain-Behavior Relations. CogSci Bradley C. Love, John P. Spencer, Nathaniel D. Daw, John P. O'Doherty
2010	J	`jnl`	Selective impairment of prediction error signaling in human dorsolateral but not ventral striatum in Parkinson's disease patients: evidence from a model-based fMRI study. NeuroImage Tom Schonberg, John P. O'Doherty, Daphna Joel, Rivka Inzelberg, Yoram Segev, Nathaniel D. Daw
2007	—	`conf`	The rat as particle filter. NIPS Nathaniel D. Daw, Aaron C. Courville
2006	J	`jnl`	Representation and Timing in Theories of the Dopamine System. Neural Comput. Nathaniel D. Daw, Aaron C. Courville, David S. Touretzky
2006	J	`jnl`	The misbehavior of value and the discipline of the will. Neural Networks Peter Dayan, Yael Niv, Ben Seymour, Nathaniel D. Daw
2005	—	`conf`	How fast to work: Response vigor, motivation and tonic dopamine. NIPS Yael Niv, Nathaniel D. Daw, Peter Dayan
2004	—	`conf`	Similarity and Discrimination in Classical Conditioning: A Latent Variable Account. NIPS Aaron C. Courville, Nathaniel D. Daw, David S. Touretzky
2003	—	`conf`	Model Uncertainty in Classical Conditioning. NIPS Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. Gordon, David S. Touretzky
2002	J	`jnl`	Local analysis of behaviour in the adjusting-delay task for assessing choice of delayed reinforcement. Neural Networks Rudolf N. Cardinal, Nathaniel D. Daw, Trevor W. Robbins, Barry J. Everitt
2002	J	`jnl`	Long-Term Reward Prediction in TD Models of the Dopamine System. Neural Comput. Nathaniel D. Daw, David S. Touretzky
2002	J	`jnl`	Opponent interactions between serotonin and dopamine. Neural Networks Nathaniel D. Daw, Sham M. Kakade, Peter Dayan
2002	—	`conf`	Timing and Partial Observability in the Dopamine System. NIPS Nathaniel D. Daw, Aaron C. Courville, David S. Touretzky
2001	J	`jnl`	Operant behavior suggests attentional gating of dopamine system inputs. Neurocomputing Nathaniel D. Daw, David S. Touretzky
2000	J	`jnl`	Behavioral considerations suggest an average reward TD model of the dopamine system. Neurocomputing Nathaniel D. Daw, David S. Touretzky
2000	Misc	`conf`	Embedded Compilation for Multimedia Applications. FCCM Nathaniel D. Daw, Seth Copen Goldstein, Dennis Strelow