Peter Dayan
87 publications
11 venues
H Index 26
Affiliation
Max Planck Institute for Biological Cybernetics, T bingen, GermanyUniversity College London, Gatsby Computational Neuroscience Unit
Links
DBLP
ORCID- https://www.mpg.de/12309370/biological-cybernetics-dayan
- https://zbmath.org/authors/?q=ai:dayan.peter
- https://mathscinet.ams.org/mathscinet/MRAuthorID/642043
- https://mathgenealogy.org/id.php?id=253681
- https://en.wikipedia.org/wiki/Peter_Dayan
- https://www.wikidata.org/entity/Q7173587
- https://id.loc.gov/authorities/names/nb2002009222
- https://d-nb.info/gnd/1081931299
- https://dl.acm.org/profile/81100468755
- https://dblp.uni-trier.de/pers/hd/d/Dayan:Peter_S=
| Name | Venue | Year | citations |
|---|---|---|---|
ℵ-IPOMDP: Mitigating Deception in a Cognitive Hierarchy with Off-Policy Counterfactual Anomaly Detection.
|
JAIR | 2026 | 0 |
| Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise.
|
Cognitive Science | 2025 | 1 |
| Striking the Right Chord Between Reuse and Improvisation: Melody Learning as Resource-Rational Program Induction.
|
Cognitive Science | 2025 | 0 |
| Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences.
|
ICLR | 2025 | 0 |
| State-Independent and State-Dependent Learning in a Motivational Go/NoGo task.
|
Cognitive Science | 2024 | 0 |
| Optimal and sub-optimal temporal decisions can explain procrastination in a real-world task.
|
Cognitive Science | 2024 | 2 |
| Simplifying Latent Dynamics with Softly State-Invariant World Models.
|
NIPS/NeurIPS | 2024 | 2 |
| Simplicity in Complexity: Explaining Visual Complexity using Deep Segmentation Models.
|
Cognitive Science | 2024 | 0 |
| Reinforcement Learning with Simple Sequence Priors.
|
NIPS/NeurIPS | 2023 | 14 |
| Compositionality under time pressure.
|
Cognitive Science | 2023 | 2 |
| Habits of Mind: Reusing Action Sequences for Efficient Planning.
|
Cognitive Science | 2023 | 1 |
| Neural Network Poisson Models for Behavioural and Neural Spike Train Data.
|
ICML | 2022 | 0 |
| Confidence in control: Metacognitive computations for information search.
|
Cognitive Science | 2021 | 0 |
| Exploring learning trajectories with dynamic infinite hidden Markov models.
|
Cognitive Science | 2021 | 0 |
| Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning.
|
Cognitive Science | 2021 | 0 |
| Two steps to risk sensitivity.
|
NIPS/NeurIPS | 2021 | 14 |
| Correcting experience replay for multi-agent communication.
|
ICLR | 2021 | 0 |
| A Local Temporal Difference Code for Distributional Reinforcement Learning.
|
NIPS/NeurIPS | 2020 | 25 |
| Static and Dynamic Values of Computation in MCTS.
|
UAI | 2020 | 5 |
| Disentangled behavioural representations.
|
NIPS/NeurIPS | 2019 | 24 |
| Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models.
|
NIPS/NeurIPS | 2018 | 16 |
| Fast Parametric Learning with Activation Memorization.
|
ICML | 2018 | 0 |
| A model of structure learning, inference, and generation for scene understanding.
|
Cognitive Science | 2017 | 0 |
| Staying afloat on Neurath's boat - Heuristics for sequential causal learning.
|
Cognitive Science | 2015 | 14 |
| Rationalizable Irrationalities of Choice.
|
Topics in Cognitive Science | 2014 | 24 |
| Bayes-Adaptive Simulation-based Search with Value Function Approximation.
|
NIPS/NeurIPS | 2014 | 32 |
| Correlations strike back (again): the case of associative memory retrieval.
|
NIPS/NeurIPS | 2013 | 3 |
| Structured cognitive representations and complex inference in neural systems.
|
Cognitive Science | 2013 | 0 |
| Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search.
|
JAIR | 2013 | 91 |
| Dynamic decision making: neuronal, computational, and cognitive underpinnings.
|
Cognitive Science | 2012 | 0 |
| Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search.
|
NIPS/NeurIPS | 2012 | 181 |
| Computational, Cognitive, and Neural Models of Decision-making Biases.
|
Cognitive Science | 2012 | 0 |
| Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories.
|
NIPS/NeurIPS | 2011 | 8 |
| Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing.
|
NIPS/NeurIPS | 2009 | 24 |
| Know Thy Neighbour: A Normative Theory of Synaptic Depression.
|
NIPS/NeurIPS | 2009 | 16 |
| Load and Attentional Bayes.
|
NIPS/NeurIPS | 2008 | 6 |
| Bayesian Model of Behaviour in Economic Games.
|
NIPS/NeurIPS | 2008 | 54 |
| Psychiatry: Insights into depression through normative decision-making models.
|
NIPS/NeurIPS | 2008 | 20 |
| Hippocampal Contributions to Control: The Third Way.
|
NIPS/NeurIPS | 2007 | 251 |
| Uncertainty, phase and oscillatory hippocampal recall.
|
NIPS/NeurIPS | 2006 | 18 |
| Norepinephrine and Neural Interrupts.
|
NIPS/NeurIPS | 2005 | 12 |
| A Bayesian Framework for Tilt Perception and Confidence.
|
NIPS/NeurIPS | 2005 | 15 |
| How fast to work: Response vigor, motivation and tonic dopamine.
|
NIPS/NeurIPS | 2005 | 110 |
| Rate- and Phase-coded Autoassociative Memory.
|
NIPS/NeurIPS | 2004 | 9 |
| Inference, Attention, and Decision in a Bayesian Neural Architecture.
|
NIPS/NeurIPS | 2004 | 100 |
| Probabilistic Computation in Spiking Populations.
|
NIPS/NeurIPS | 2004 | 37 |
| Assignment of Multiplicative Mixtures in Natural Images.
|
NIPS/NeurIPS | 2004 | 5 |
| Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory.
|
NIPS/NeurIPS | 2003 | 2 |
| Plasticity Kernels and Temporal Statistics.
|
NIPS/NeurIPS | 2003 | 10 |
| Structure in the Space of Value Functions.
|
MLJ | 2002 | 82 |
| Expected and Unexpected Uncertainty: ACh and NE in the Neocortex.
|
NIPS/NeurIPS | 2002 | 116 |
| Replay, Repair and Consolidation.
|
NIPS/NeurIPS | 2002 | 9 |
| Adaptation and Unsupervised Learning.
|
NIPS/NeurIPS | 2002 | 717 |
| ACh, Uncertainty, and Cortical Inference.
|
NIPS/NeurIPS | 2001 | 37 |
| Motivated Reinforcement Learning.
|
NIPS/NeurIPS | 2001 | 69 |
| Dopamine Bonuses.
|
NIPS/NeurIPS | 2000 | 26 |
| Position Variance, Recurrence and Perceptual Learning.
|
NIPS/NeurIPS | 2000 | 4 |
| Competition and Arbors in Ocular Dominance.
|
NIPS/NeurIPS | 2000 | 8 |
| Explaining Away in Weight Space.
|
NIPS/NeurIPS | 2000 | 73 |
| Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex.
|
NIPS/NeurIPS | 2000 | 11 |
| Acquisition in Autoshaping.
|
NIPS/NeurIPS | 1999 | 12 |
| Computational Differences between Asymmetrical and Symmetrical Networks.
|
NIPS/NeurIPS | 1998 | 48 |
| Bayesian retrieval in associative memories with storage errors.
|
IEEE Trans. Neural Networks | 1998 | 42 |
| Distributional Population Codes and Multiple Motion Models.
|
NIPS/NeurIPS | 1998 | 38 |
| Analytical Mean Squared Error Curves for Temporal Difference Learning.
|
MLJ | 1998 | 0 |
| Modeling the manifolds of images of handwritten digits.
|
IEEE Trans. Neural Networks | 1997 | 416 |
| Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning.
|
NIPS/NeurIPS | 1997 | 2 |
| Statistical Models of Conditioning.
|
NIPS/NeurIPS | 1997 | 42 |
| Combining Probabilistic Population Codes.
|
IJCAI | 1997 | 16 |
| Neural Models for Part-Whole Hierarchies.
|
NIPS/NeurIPS | 1996 | 19 |
| Exploration Bonuses and Dual Control.
|
MLJ | 1996 | 109 |
| A Hierarchical Model of Visual Rivalry.
|
NIPS/NeurIPS | 1996 | 3 |
| Analytical Mean Squared Error Curves in Temporal Difference Learning.
|
NIPS/NeurIPS | 1996 | 0 |
| Probabilistic Interpretation of Population Codes.
|
NIPS/NeurIPS | 1996 | 0 |
| Improving Policies without Measuring Merits.
|
NIPS/NeurIPS | 1995 | 15 |
| Predictive Hebbian Learning.
|
COLT | 1995 | 14 |
| Does the Wake-sleep Algorithm Produce Good Density Estimators?
|
NIPS/NeurIPS | 1995 | 64 |
| Recognizing Handwritten Digits Using Mixtures of Linear Models.
|
NIPS/NeurIPS | 1994 | 132 |
| TD(lambda) Converges with Probability 1.
|
MLJ | 1994 | 0 |
| Foraging in an Uncertain Environment Using Predictive Hebbian Learning.
|
NIPS/NeurIPS | 1993 | 41 |
| Temporal Difference Learning of Position Evaluation in the Game of Go.
|
NIPS/NeurIPS | 1993 | 178 |
| Using Aperiodic Reinforcement for Directed Self-Organization During Development.
|
NIPS/NeurIPS | 1992 | 37 |
| Feudal Reinforcement Learning.
|
NIPS/NeurIPS | 1992 | 892 |
| The Convergence of TD(lambda) for General lambda.
|
MLJ | 1992 | 0 |
| Technical Note Q-Learning.
|
MLJ | 1992 | 0 |
| Perturbing Hebbian Rules.
|
NIPS/NeurIPS | 1991 | 14 |
| Navigating Through Temporal Difference.
|
NIPS/NeurIPS | 1990 | 25 |