Peter Dayan

Affiliations:
  • Max Planck Institute for Biological Cybernetics, Tübingen, Germany
  • University College London, Gatsby Computational Neuroscience Unit (former)


According to our database1, Peter Dayan authored at least 156 papers between 1990 and 2022.

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Bibliography

2022
Biased belief priors versus biased belief updating: Differential correlates of depression and anxiety.
PLoS Comput. Biol., 2022

The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons.
PLoS Comput. Biol., 2022

Optimism and pessimism in optimised replay.
PLoS Comput. Biol., 2022

Neural Network Poisson Models for Behavioural and Neural Spike Train Data.
Proceedings of the International Conference on Machine Learning, 2022

2021
Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach.
PLoS Comput. Biol., 2021

Internality and the internalisation of failure: Evidence from a novel task.
PLoS Comput. Biol., 2021

Using Primary Reinforcement to Enhance Translatability of a Human Affect and Decision-Making Judgment Bias Task.
J. Cogn. Neurosci., 2021

Catastrophe, Compounding & Consistency in Choice.
CoRR, 2021

Two steps to risk sensitivity.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Correcting experience replay for multi-agent communication.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Combined model-free and model-sensitive reinforcement learning in non-human primates.
PLoS Comput. Biol., 2020

Considerations for Designing EHR-Embedded Clinical Decision Support Systems for Antimicrobial Stewardship in Pediatric Emergency Departments.
Appl. Clin. Inform., 2020

Static and Dynamic Values of Computation in MCTS.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

A Local Temporal Difference Code for Distributional Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A computational account of threat-related attentional bias.
PLoS Comput. Biol., 2019

Models that learn how humans learn: The case of decision-making and its disorders.
PLoS Comput. Biol., 2019

Learning to use past evidence in a sophisticated world model.
PLoS Comput. Biol., 2019

Prefrontal Dynamics Associated with Efficient Detours and Shortcuts: A Combined Functional Magnetic Resonance Imaging and Magnetoencenphalography Study.
J. Cogn. Neurosci., 2019

Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning.
CoRR, 2019

Disentangled behavioural representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Change, stability, and instability in the Pavlovian guidance of behaviour from adolescence to young adulthood.
PLoS Comput. Biol., 2018

Interrupting behaviour: Minimizing decision costs via temporal commitment and low-level interrupts.
PLoS Comput. Biol., 2018

A model of risk and mental state shifts during social interaction.
PLoS Comput. Biol., 2018

Control of neurite growth and guidance by an inhibitory cell-body signal.
PLoS Comput. Biol., 2018

Learning Contextual Reward Expectations for Value Adaptation.
J. Cogn. Neurosci., 2018

Probabilistic Meta-Representations Of Neural Networks.
CoRR, 2018

Examining Workflow in a Pediatric Emergency Department to Develop a Clinical Decision Support for an Antimicrobial Stewardship Program.
Appl. Clin. Inform., 2018

Applying the RE-AIM Framework for the Evaluation of a Clinical Decision Support Tool for Pediatric Head Trauma: A Mixed-Methods Study.
Appl. Clin. Inform., 2018

Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fast Parametric Learning with Activation Memorization.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Increased decision thresholds enhance information gathering performance in juvenile Obsessive-Compulsive Disorder (OCD).
PLoS Comput. Biol., 2017

Comparison of Maximum Likelihood and GAN-based training of Real NVPs.
CoRR, 2017

A model of structure learning, inference, and generation for scene understanding.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
How People Use Social Information to Find out What to Want in the Paradigmatic Case of Inter-temporal Preferences.
PLoS Comput. Biol., 2016

The influence of contextual reward statistics on risk preference.
NeuroImage, 2016

Multiple value signals in dopaminergic midbrain and their role in avoidance contexts.
NeuroImage, 2016

The Dopaminergic Midbrain Mediates an Effect of Average Reward on Pavlovian Vigor.
J. Cogn. Neurosci., 2016

Use of a remote clinical decision support service for a multicenter trial to implement prediction rules for children with minor blunt head trauma.
Int. J. Medical Informatics, 2016

Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning.
CoRR, 2016

Clinical Decision Support for a Multicenter Trial of Pediatric Head Trauma.
Appl. Clin. Inform., 2016

2015
Anticipation and Choice Heuristics in the Dynamic Consumption of Pain Relief.
PLoS Comput. Biol., 2015

A Probabilistic Palimpsest Model of Visual Short-term Memory.
PLoS Comput. Biol., 2015

Tamping Ramping: Algorithmic, Implementational, and Computational Explanations of Phasic Dopamine Signals in the Accumbens.
PLoS Comput. Biol., 2015

Monte Carlo Planning Method Estimates Planning Horizons during Interactive Social Exchange.
PLoS Comput. Biol., 2015

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task.
PLoS Comput. Biol., 2015

Staying afloat on Neurath's boat - Heuristics for sequential causal learning.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Rationalizable Irrationalities of Choice.
Top. Cogn. Sci., 2014

Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3.
PLoS Comput. Biol., 2014

Some Work and Some Play: Microscopic and Macroscopic Approaches to Labor and Leisure.
PLoS Comput. Biol., 2014

Better Optimism By Bayes: Adaptive Planning with Rich Models.
CoRR, 2014

Bayes-Adaptive Simulation-based Search with Value Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Sparse Coding Can Predict Primary Visual Cortex Receptive Field Changes Induced by Abnormal Visual Input.
PLoS Comput. Biol., 2013

Informing the design of clinical decision support services for evaluation of children with minor blunt head trauma in the emergency department: A sociotechnical analysis.
J. Biomed. Informatics, 2013

Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search.
J. Artif. Intell. Res., 2013

Correlations strike back (again): the case of associative memory retrieval.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Structured cognitive representations and complex inference in neural systems.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Exploration from Generalization Mediated by Multiple Controllers.
Proceedings of the Intrinsically Motivated Learning in Natural and Artificial Systems, 2013

2012
Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought.
PLoS Comput. Biol., 2012

Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees.
PLoS Comput. Biol., 2012

Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics.
PLoS Comput. Biol., 2012

Go and no-go learning in reward and punishment: Interactions between affect and effect.
NeuroImage, 2012

Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

An Activity Theory Based Analysis of Work Activities in the Emergency Department.
Proceedings of the Nursing Informatics 2014 - East Meets West eSMART+, 2012

Dynamic decision making: neuronal, computational, and cognitive underpinnings.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Computational, Cognitive, and Neural Models of Decision-making Biases.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding.
PLoS Comput. Biol., 2011

Bayes-Optimal Chemotaxis.
Neural Comput., 2011

Vigor in the Face of Fluctuating Rates of Reward: An Experimental Examination.
J. Cogn. Neurosci., 2011

Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131).
Dagstuhl Reports, 2011

Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories.
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

2010
Pavlovian-Instrumental Interaction in 'Observing Behavior'.
PLoS Comput. Biol., 2010

Change-Based Inference in Attractor Nets: Linear Analysis.
Neural Comput., 2010

2009
Goal-directed control and its antipodes.
Neural Networks, 2009

Know Thy Neighbour: A Normative Theory of Synaptic Depression.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Serotonin, Inhibition, and Negative Mood.
PLoS Comput. Biol., 2008

Encoding and Decoding Spikes for Dynamic Stimuli.
Neural Comput., 2008

A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis.
Medical Biol. Eng. Comput., 2008

Bayesian Model of Behaviour in Economic Games.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Psychiatry: Insights into depression through normative decision-making models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Load and Attentional Bayes.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Fast Population Coding.
Neural Comput., 2007

Bilinearity, rules, and prefrontal cortex.
Frontiers Comput. Neurosci., 2007

Hippocampal Contributions to Control: The Third Way.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Pre-attentive visual selection.
Neural Networks, 2006

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

Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics.
Neural Comput., 2006

Images, Frames, and Connectionist Hierarchies.
Neural Comput., 2006

Dopamine modulation in the basal ganglia locks the gate to working memory.
J. Comput. Neurosci., 2006

Uncertainty, phase and oscillatory hippocampal recall.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
A Bayesian Framework for Tilt Perception and Confidence.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 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

Norepinephrine and Neural Interrupts.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Differential Priors for Elastic Nets.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

2004
Probabilistic Computation in Spiking Populations.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Inference, Attention, and Decision in a Bayesian Neural Architecture.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Assignment of Multiplicative Mixtures in Natural Images.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Rate- and Phase-coded Autoassociative Memory.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity.
Neural Comput., 2003

Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Plasticity Kernels and Temporal Statistics.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Acetylcholine in cortical inference.
Neural Networks, 2002

Dopamine: generalization and bonuses.
Neural Networks, 2002

Introduction for 2002 Special Issue: Computational Models of Neuromodulation.
Neural Networks, 2002

Opponent interactions between serotonin and dopamine.
Neural Networks, 2002

Structure in the Space of Value Functions.
Mach. Learn., 2002

Expected and Unexpected Uncertainty: ACh and NE in the Neocortex.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Replay, Repair and Consolidation.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Adaptation and Unsupervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
A familiarity-based learning procedure for the establishment of place fields in area CA3 of the rat hippocampus.
Neurocomputing, 2001

ACh, Uncertainty, and Cortical Inference.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Motivated Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Position Variance, Recurrence and Perceptual Learning.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Dopamine Bonuses.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Explaining Away in Weight Space.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Competition and Arbors in Ocular Dominance.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Recurrent Sampling Models for the Helmholtz Machine.
Neural Comput., 1999

The Effect of Correlated Variability on the Accuracy of a Population Code.
Neural Comput., 1999

Acquisition in Autoshaping.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Bayesian retrieval in associative memories with storage errors.
IEEE Trans. Neural Networks, 1998

Probabilistic Interpretation of Population Codes.
Neural Comput., 1998

A Hierarchical Model of Binocular Rivalry.
Neural Comput., 1998

Analytical Mean Squared Error Curves for Temporal Difference Learning.
Mach. Learn., 1998

Distributional Population Codes and Multiple Motion Models.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Computational Differences between Asymmetrical and Symmetrical Networks.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Modeling the manifolds of images of handwritten digits.
IEEE Trans. Neural Networks, 1997

Factor Analysis Using Delta-Rule Wake-Sleep Learning.
Neural Comput., 1997

Using Expectation-Maximization for Reinforcement Learning.
Neural Comput., 1997

Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Statistical Models of Conditioning.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Combining Probabilistic Population Codes.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Varieties of Helmholtz Machine.
Neural Networks, 1996

Exploration Bonuses and Dual Control.
Mach. Learn., 1996

Neural Models for Part-Whole Hierarchies.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

A Hierarchical Model of Visual Rivalry.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Competition and Multiple Cause Models.
Neural Comput., 1995

The Helmholtz machine.
Neural Comput., 1995

Does the Wake-sleep Algorithm Produce Good Density Estimators?
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Improving Policies without Measuring Merits.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Predictive Hebbian Learning.
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994
TD(lambda) Converges with Probability 1.
Mach. Learn., 1994

Recognizing Handwritten Digits Using Mixtures of Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning.
Neural Comput., 1993

Improving Generalization for Temporal Difference Learning: The Successor Representation.
Neural Comput., 1993

Arbitrary Elastic Topologies and Ocular Dominance.
Neural Comput., 1993

Temporal Difference Learning of Position Evaluation in the Game of Go.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Foraging in an Uncertain Environment Using Predictive Hebbian Learning.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Technical Note Q-Learning.
Mach. Learn., 1992

The Convergence of TD(lambda) for General lambda.
Mach. Learn., 1992

Using Aperiodic Reinforcement for Directed Self-Organization During Development.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Feudal Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Optimising synaptic learning rules in linear associative memories.
Biol. Cybern., 1991

Perturbing Hebbian Rules.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990
Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down.
Neural Comput., 1990

Navigating Through Temporal Difference.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990


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