Peter Dayan

According to our database1, Peter Dayan authored at least 129 papers between 1990 and 2018.

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

A model of risk and mental state shifts during social interaction.
PLoS Computational Biology, 2018

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

Learning Contextual Reward Expectations for Value Adaptation.
J. Cognitive Neuroscience, 2018

Probabilistic Meta-Representations Of Neural Networks.
CoRR, 2018

Fast Parametric Learning with Activation Memorization.
CoRR, 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 Computational Biology, 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 Computational Biology, 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. Cognitive Neuroscience, 2016

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

2015
Anticipation and Choice Heuristics in the Dynamic Consumption of Pain Relief.
PLoS Computational Biology, 2015

A Probabilistic Palimpsest Model of Visual Short-term Memory.
PLoS Computational Biology, 2015

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

Monte Carlo Planning Method Estimates Planning Horizons during Interactive Social Exchange.
PLoS Computational Biology, 2015

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task.
PLoS Computational Biology, 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
Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3.
PLoS Computational Biology, 2014

Some Work and Some Play: Microscopic and Macroscopic Approaches to Labor and Leisure.
PLoS Computational Biology, 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 Computational Biology, 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

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

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

Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics.
PLoS Computational Biology, 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
CoRR, 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

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 Computational Biology, 2011

Bayes-Optimal Chemotaxis.
Neural Computation, 2011

Vigor in the Face of Fluctuating Rates of Reward: An Experimental Examination.
J. Cognitive Neuroscience, 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 Computational Biology, 2010

Change-Based Inference in Attractor Nets: Linear Analysis.
Neural Computation, 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 Computational Biology, 2008

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

A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis.
Med. Biol. Engineering and Computing, 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 Computation, 2007

Bilinearity, rules, and prefrontal cortex.
Front. 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 Computation, 2006

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

Dopamine modulation in the basal ganglia locks the gate to working memory.
Journal of Computational Neuroscience, 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 Computation, 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.
Machine Learning, 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 Computation, 1999

The Effect of Correlated Variability on the Accuracy of a Population Code.
Neural Computation, 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 Computation, 1998

A Hierarchical Model of Binocular Rivalry.
Neural Computation, 1998

Analytical Mean Squared Error Curves for Temporal Difference Learning.
Machine Learning, 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 Computation, 1997

Using Expectation-Maximization for Reinforcement Learning.
Neural Computation, 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.
Machine Learning, 1996

Probabilistic Interpretation of Population Codes.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Analytical Mean Squared Error Curves in Temporal Difference Learning.
Proceedings of the Advances in Neural Information Processing Systems 9, 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
The Helmholtz machine.
Neural Computation, 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.
Machine Learning, 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 Computation, 1993

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

Arbitrary Elastic Topologies and Ocular Dominance.
Neural Computation, 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.
Machine Learning, 1992

The Convergence of TD(lambda) for General lambda.
Machine Learning, 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.
Biological Cybernetics, 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 Computation, 1990

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


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