Nathaniel D. Daw

Orcid: 0000-0001-5029-1430

According to our database1, Nathaniel D. Daw authored at least 47 papers between 2000 and 2024.

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Bibliography

2024
The role of training variability for model-based and model-free learning of an arbitrary visuomotor mapping.
PLoS Comput. Biol., 2024

Program-Based Strategy Induction for Reinforcement Learning.
CoRR, 2024

2023
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.
PLoS Comput. Biol., 2023

Humans decompose tasks by trading off utility and computational cost.
PLoS Comput. Biol., 2023

Exploring the hierarchical structure of human plans via program generation.
CoRR, 2023

Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.
CoRR, 2022

Using natural language and program abstractions to instill human inductive biases in machines.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging psychometrics of rational inattention to estimate individual differences in the capacity for cognitive control.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
Deficient Goal-Directed Control in a Population Characterized by Extreme Goal Pursuit.
J. Cogn. Neurosci., 2021

Meta-Learning of Structured Task Distributions in Humans and Machines.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
A simple model for learning in volatile environments.
PLoS Comput. Biol., 2020

A Computational Role for Top-Down Modulation from Frontal Cortex in Infancy.
J. Cogn. Neurosci., 2020

Meta-Learning of Compositional Task Distributions in Humans and Machines.
CoRR, 2020

2019
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies.
PLoS Comput. Biol., 2019

2018
Novel methods for measuring the cost of cognitive control in a patch foraging task and a demand selection task with Stroop.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Predictive representations can link model-based reinforcement learning to model-free mechanisms.
PLoS Comput. Biol., 2017

Suboptimal Criterion Learning in Static and Dynamic Environments.
PLoS Comput. Biol., 2017

Intolerance to uncertainty is associated with diminished exploration.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Mechanisms of overharvesting in patch foraging.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Pre-term infants exhibit impaired prediction and learning in Audio-Visual association paradigm.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Information-Seeking, Learning and the Marginal Value Theorem: A Normative Approach to Adaptive Exploration.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Boredom, Information-Seeking and Exploration.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Cognitive Control Predicts Use of Model-based Reinforcement Learning.
J. Cogn. Neurosci., 2015

2014
Cognitive Control Mode Predicts Behavioral Expression of Model-Based Reinforcement-Learning.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Testing Whether Humans Have an Accurate Model of Their Own Motor Uncertainty in a Speeded Reaching Task.
PLoS Comput. Biol., 2013

Cortical and Hippocampal Correlates of Deliberation during Model-Based Decisions for Rewards in Humans.
PLoS Comput. Biol., 2013

Action selection in multi-effector decision making.
NeuroImage, 2013

The importance of mixed selectivity in complex cognitive tasks.
Nat., 2013

2012
Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Grid Cells, Place Cells, and Geodesic Generalization for Spatial Reinforcement Learning.
PLoS Comput. Biol., 2011

Environmental statistics and the trade-off between model-based and TD learning in humans.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Moving Beyond Where and What to How: Using Models and fMRI to Understand Brain-Behavior Relations.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
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, 2010

2007
The rat as particle filter.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
The misbehavior of value and the discipline of the will.
Neural Networks, 2006

Representation and Timing in Theories of the Dopamine System.
Neural Comput., 2006

2005
How fast to work: Response vigor, motivation and tonic dopamine.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Similarity and Discrimination in Classical Conditioning: A Latent Variable Account.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Model Uncertainty in Classical Conditioning.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Opponent interactions between serotonin and dopamine.
Neural Networks, 2002

Local analysis of behaviour in the adjusting-delay task for assessing choice of delayed reinforcement.
Neural Networks, 2002

Long-Term Reward Prediction in TD Models of the Dopamine System.
Neural Comput., 2002

Timing and Partial Observability in the Dopamine System.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Operant behavior suggests attentional gating of dopamine system inputs.
Neurocomputing, 2001

2000
Behavioral considerations suggest an average reward TD model of the dopamine system.
Neurocomputing, 2000

Embedded Compilation for Multimedia Applications.
Proceedings of the 8th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2000), 2000


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