Peter Dayan

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 58

Top Venues

Publications

Tankred Saanum, Peter Dayan, Eric Schulz
Predicting the Future with Simple World Models. CoRR (2024)
Kevin Shen, Surabhi S. Nath, Aenne Brielmann, Peter Dayan
Simplicity in Complexity. CoRR (2024)
Nitay Alon, Lion Schulz, Joseph M. Barnby, Jeffrey S. Rosenschein, Peter Dayan
Detecting and Deterring Manipulation in a Cognitive Hierarchy. CoRR (2024)
Surabhi S. Nath, Peter Dayan, Claire Stevenson
Characterising the Creative Process in Humans and Large Language Models. CoRR (2024)
Noémi Élteto, Peter Dayan
Habits of Mind: Reusing Action Sequences for Efficient Planning. CogSci (2023)
Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz
Reinforcement Learning with Simple Sequence Priors. NeurIPS (2023)
Kevin Lloyd, Peter Dayan
Reframing dopamine: A controlled controller at the limbic-motor interface. PLoS Comput. Biol. 19 (10) (2023)
Noémi Élteto, Peter Dayan
Habits of Mind: Reusing Action Sequences for Efficient Planning. CoRR (2023)
Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz
Reinforcement Learning with Simple Sequence Priors. CoRR (2023)
Valerio Rubino, Mani Hamidi, Peter Dayan, Charley M. Wu
Compositionality under time pressure. CogSci (2023)
Chris Gagne, Peter Dayan
The Inner Sentiments of a Thought. CoRR (2023)
Rachit Dubey, Thomas L. Griffiths, Peter Dayan
The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. PLoS Comput. Biol. 18 (8) (2022)
Christopher Gagne, Sharon Agai, Christian Ramiro, Peter Dayan, Sonia Bishop
Biased belief priors versus biased belief updating: Differential correlates of depression and anxiety. PLoS Comput. Biol. 18 (8) (2022)
Georgy Antonov, Christopher Gagne, Eran Eldar, Peter Dayan
Optimism and pessimism in optimised replay. PLoS Comput. Biol. 18 (1) (2022)
Moein Khajehnejad, Forough Habibollahi, Richard Nock, Ehsan Arabzadeh, Peter Dayan, Amir Dezfouli
Neural Network Poisson Models for Behavioural and Neural Spike Train Data. ICML (2022)
Elena Zamfir, Peter Dayan
Interactions between attributions and beliefs at trial-by-trial level: Evidence from a novel computer game task. PLoS Comput. Biol. 18 (9) (2022)
Noémi Élteto, Dezso Németh, Karolina Janacsek, Peter Dayan
Tracking human skill learning with a hierarchical Bayesian sequence model. PLoS Comput. Biol. 18 (11) (2022)
Sahiti Chebolu, Peter Dayan, Kevin Lloyd
Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. PLoS Comput. Biol. 18 (10) (2022)
Lion Schulz, Stephen M. Fleming, Peter Dayan
Confidence in control: Metacognitive computations for information search. CogSci (2021)
Chris Gagne, Peter Dayan
Two steps to risk sensitivity. CoRR (2021)
Noémi Élteto, Dezso Németh, Karolina Janacsek, Peter Dayan
Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning. CogSci (2021)
Federico Mancinelli, Jonathan P. Roiser, Peter Dayan
Internality and the internalisation of failure: Evidence from a novel task. PLoS Comput. Biol. 17 (7) (2021)
Sebastian A. Bruijns, International Brain Laboratory, Peter Dayan
Exploring learning trajectories with dynamic infinite hidden Markov models. CogSci (2021)
Chris Gagne, Peter Dayan
Two steps to risk sensitivity. NeurIPS (2021)
Vikki Neville, Peter Dayan, Iain D. Gilchrist, Elizabeth S. Paul, Michael Mendl
Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach. PLoS Comput. Biol. 17 (1) (2021)
Vikki Neville, Peter Dayan, Iain D. Gilchrist, Elizabeth S. Paul, Michael Mendl
Using Primary Reinforcement to Enhance Translatability of a Human Affect and Decision-Making Judgment Bias Task. J. Cogn. Neurosci. 33 (12) (2021)
Chris Gagne, Peter Dayan
Catastrophe, Compounding & Consistency in Choice. CoRR (2021)
Sanjeevan Ahilan, Peter Dayan
Correcting experience replay for multi-agent communication. ICLR (2021)
Eren Sezener, Peter Dayan
Static and Dynamic Values of Computation in MCTS. UAI (2020)
Bruno Miranda, W. M. Nishantha Malalasekera, Timothy Edward John Behrens, Peter Dayan, Steven W. Kennerley
Combined model-free and model-sensitive reinforcement learning in non-human primates. PLoS Comput. Biol. 16 (6) (2020)
Eren Sezener, Peter Dayan
Static and Dynamic Values of Computation in MCTS. CoRR (2020)
Sanjeevan Ahilan, Peter Dayan
Correcting Experience Replay for Multi-Agent Communication. CoRR (2020)
Pablo Tano, Peter Dayan, Alexandre Pouget
A Local Temporal Difference Code for Distributional Reinforcement Learning. NeurIPS (2020)
Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong
Disentangled behavioural representations. NeurIPS (2019)
Sanjeevan Ahilan, Peter Dayan
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. CoRR (2019)
Sanjeevan Ahilan, Rebecca B. Solomon, Yannick-André Breton, Kent L. Conover, Ritwik K. Niyogi, Peter Shizgal, Peter Dayan
Learning to use past evidence in a sophisticated world model. PLoS Comput. Biol. 15 (6) (2019)
Amir Dezfouli, Kristi Griffiths, Fabio Ramos, Peter Dayan, Bernard W. Balleine
Models that learn how humans learn: The case of decision-making and its disorders. PLoS Comput. Biol. 15 (6) (2019)
Toby Wise, Jochen Michely, Peter Dayan, Raymond J. Dolan
A computational account of threat-related attentional bias. PLoS Comput. Biol. 15 (10) (2019)
Ruth Masterson Creber, Peter Dayan, Nathan Kuppermann, Dustin W. Ballard, Leah Tzimenatos, Evaline Alessandrini, Rakesh Mistry, Jeffrey Hoffman, David R. Vinson, Suzanne Bakken
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. 9 (03) (2018)
Brendan A. Bicknell, Zac Pujic, Peter Dayan, Geoffrey J. Goodhill
Control of neurite growth and guidance by an inhibitory cell-body signal. PLoS Comput. Biol. 14 (6) (2018)
Theofanis Karaletsos, Peter Dayan, Zoubin Ghahramani
Probabilistic Meta-Representations Of Neural Networks. CoRR (2018)
Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap
Fast Parametric Learning with Activation Memorization. ICML (2018)
Kevin Lloyd, Peter Dayan
Interrupting behaviour: Minimizing decision costs via temporal commitment and low-level interrupts. PLoS Comput. Biol. 14 (1) (2018)
Michael Moutoussis, Edward T. Bullmore, Ian M. Goodyer, Peter Fonagy, Peter B. Jones, Raymond J. Dolan, Peter Dayan
Change, stability, and instability in the Pavlovian guidance of behaviour from adolescence to young adulthood. PLoS Comput. Biol. 14 (12) (2018)
Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap
Fast Parametric Learning with Activation Memorization. CoRR (2018)
Andreas Hula, Iris Vilares, Terry Lohrenz, Peter Dayan, P. Read Montague
A model of risk and mental state shifts during social interaction. PLoS Comput. Biol. 14 (2) (2018)
Amir Dezfouli, Richard W. Morris, Fabio T. Ramos, Peter Dayan, Bernard W. Balleine
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models. NeurIPS (2018)
Mustafa Ozkaynak, Danny Wu, Katia Hannah, Peter Dayan, Rakesh Mistry
Examining Workflow in a Pediatric Emergency Department to Develop a Clinical Decision Support for an Antimicrobial Stewardship Program. Appl. Clin. Inform. 9 (02) (2018)
Francesco Rigoli, Benjamin Chew, Peter Dayan, Raymond J. Dolan
Learning Contextual Reward Expectations for Value Adaptation. J. Cogn. Neurosci. 30 (1) (2018)
David Raposo, Peter Dayan, Demis Hassabis, Peter W. Battaglia
A model of structure learning, inference, and generation for scene understanding. CogSci (2017)
Ivo Danihelka, Balaji Lakshminarayanan, Benigno Uria, Daan Wierstra, Peter Dayan
Comparison of Maximum Likelihood and GAN-based training of Real NVPs. CoRR (2017)
Tobias U. Hauser, Michael Moutoussis, Reto Iannaccone, Silvia Brem, Susanne Walitza, Renate Drechsler, Peter Dayan, Raymond J. Dolan
Increased decision thresholds enhance information gathering performance in juvenile Obsessive-Compulsive Disorder (OCD). PLoS Comput. Biol. 13 (4) (2017)
Francesco Rigoli, Benjamin Chew, Peter Dayan, Raymond J. Dolan
Multiple value signals in dopaminergic midbrain and their role in avoidance contexts. NeuroImage 135 (2016)
Neil R. Bramley, Peter Dayan, Thomas L. Griffiths, David A. Lagnado
Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning. CoRR (2016)
Francesco Rigoli, Benjamin Chew, Peter Dayan, Raymond J. Dolan
The Dopaminergic Midbrain Mediates an Effect of Average Reward on Pavlovian Vigor. J. Cogn. Neurosci. 28 (9) (2016)
Marguerite Swietlik, Sara Deakyne, Jeffrey Hoffman, Robert Grundmeier, Marilyn D. Paterno, Beatriz H. Rocha, Molly Schaeffer, Deepika Pabbathi, Evaline Alessandrini, Dustin Ballard, Howard Goldberg, Nathan Kuppermann, Peter Dayan, Eric Tham
Clinical Decision Support for a Multicenter Trial of Pediatric Head Trauma. Appl. Clin. Inform. 7 (02) (2016)
Francesco Rigoli, Robb B. Rutledge, Peter Dayan, Raymond J. Dolan
The influence of contextual reward statistics on risk preference. NeuroImage 128 (2016)
Michael Moutoussis, Raymond J. Dolan, Peter Dayan
How People Use Social Information to Find out What to Want in the Paradigmatic Case of Inter-temporal Preferences. PLoS Comput. Biol. 12 (7) (2016)
Thomas E. Akam, Rui Costa, Peter Dayan
Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task. PLoS Comput. Biol. 11 (12) (2015)
Kevin Lloyd, Peter Dayan
Tamping Ramping: Algorithmic, Implementational, and Computational Explanations of Phasic Dopamine Signals in the Accumbens. PLoS Comput. Biol. 11 (12) (2015)
Giles W. Story, Ivo Vlaev, Peter Dayan, Ben Seymour, Ara Darzi, Raymond J. Dolan
Anticipation and Choice Heuristics in the Dynamic Consumption of Pain Relief. PLoS Comput. Biol. 11 (3) (2015)
Loic Matthey, Paul M. Bays, Peter Dayan
A Probabilistic Palimpsest Model of Visual Short-term Memory. PLoS Comput. Biol. 11 (1) (2015)
Andreas Hula, P. Read Montague, Peter Dayan
Monte Carlo Planning Method Estimates Planning Horizons during Interactive Social Exchange. PLoS Comput. Biol. 11 (6) (2015)
Neil Bramley, Peter Dayan, David A. Lagnado
Staying afloat on Neurath's boat - Heuristics for sequential causal learning. CogSci (2015)
Arthur Guez, Nicolas Heess, David Silver, Peter Dayan
Bayes-Adaptive Simulation-based Search with Value Function Approximation. NIPS (2014)
Cristina Savin, Peter Dayan, Máté Lengyel
Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3. PLoS Comput. Biol. 10 (2) (2014)
Arthur Guez, David Silver, Peter Dayan
Better Optimism By Bayes: Adaptive Planning with Rich Models. CoRR (2014)
Ritwik K. Niyogi, Peter Shizgal, Peter Dayan
Some Work and Some Play: Microscopic and Macroscopic Approaches to Labor and Leisure. PLoS Comput. Biol. 10 (12) (2014)
Peter Dayan
Rationalizable Irrationalities of Choice. Top. Cogn. Sci. 6 (2) (2014)
Jonathan J. Hunt, Peter Dayan, Geoffrey J. Goodhill
Sparse Coding Can Predict Primary Visual Cortex Receptive Field Changes Induced by Abnormal Visual Input. PLoS Comput. Biol. 9 (5) (2013)
Arthur Guez, David Silver, Peter Dayan
Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search. J. Artif. Intell. Res. 48 (2013)
Samuel Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew Botvinick, Peter Dayan
Structured cognitive representations and complex inference in neural systems. CogSci (2013)
Cristina Savin, Peter Dayan, Máté Lengyel
Correlations strike back (again): the case of associative memory retrieval. NIPS (2013)
Ting Xiang, Debajyoti Ray, Terry Lohrenz, Peter Dayan, P. Read Montague
Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought. PLoS Comput. Biol. 8 (12) (2012)
Quentin J. M. Huys, Neir Eshel, Elizabeth J. P. O'Nions, Luke Sheridan, Peter Dayan, Jonathan P. Roiser
Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees. PLoS Comput. Biol. 8 (3) (2012)
Jonathan Malmaud, Joshua B. Tenenbaum, Peter Dayan, Laurence T. Maloney, Edward Vul, Nick Chater
Computational, Cognitive, and Neural Models of Decision-making Biases. CogSci (2012)
Ruben Coen Cagli, Peter Dayan, Odelia Schwartz
Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics. PLoS Comput. Biol. 8 (3) (2012)
Arthur Guez, David Silver, Peter Dayan
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search. NIPS (2012)
Magda Osman, Maarten Speekenbrink, Peter Dayan, Masataka Watanabe, Nigel Harvey
Dynamic decision making: neuronal, computational, and cognitive underpinnings. CogSci (2012)
Arthur Guez, David Silver, Peter Dayan
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search CoRR (2012)
Marc Guitart-Masip, Quentin J. M. Huys, Lluís Fuentemilla, Peter Dayan, Emrah Düzel, Raymond J. Dolan
Go and no-go learning in reward and punishment: Interactions between affect and effect. NeuroImage 62 (1) (2012)
Duncan Mortimer, Peter Dayan, Kevin Burrage, Geoffrey J. Goodhill
Bayes-Optimal Chemotaxis. Neural Comput. 23 (2) (2011)
Marc Guitart-Masip, Ulrik R. Beierholm, Raymond J. Dolan, Emrah Düzel, Peter Dayan
Vigor in the Face of Fluctuating Rates of Reward: An Experimental Examination. J. Cogn. Neurosci. 23 (12) (2011)
Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, Jan Peters
Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). Dagstuhl Reports 1 (3) (2011)
Quentin J. M. Huys, Roshan Cools, Martin Gölzer, Eva Friedel, Andreas Heinz, Raymond J. Dolan, Peter Dayan
Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding. PLoS Comput. Biol. 7 (4) (2011)
Cristina Savin, Peter Dayan, Máté Lengyel
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories. NIPS (2011)
Ulrik R. Beierholm, Peter Dayan
Pavlovian-Instrumental Interaction in 'Observing Behavior'. PLoS Comput. Biol. 6 (9) (2010)
Reza Moazzezi, Peter Dayan
Change-Based Inference in Attractor Nets: Linear Analysis. Neural Comput. 22 (12) (2010)
Ruben Coen Cagli, Peter Dayan, Odelia Schwartz
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing. NIPS (2009)
Jean-Pascal Pfister, Peter Dayan, Máté Lengyel
Know Thy Neighbour: A Normative Theory of Synaptic Depression. NIPS (2009)
Peter Dayan
Goal-directed control and its antipodes. Neural Networks 22 (3) (2009)
Debajyoti Ray, Brooks King-Casas, P. Read Montague, Peter Dayan
Bayesian Model of Behaviour in Economic Games. NIPS (2008)
Peter Dayan
Load and Attentional Bayes. NIPS (2008)
Peter Dayan, Quentin J. M. Huys
Serotonin, Inhibition, and Negative Mood. PLoS Comput. Biol. 4 (2) (2008)
Quentin J. M. Huys, Joshua T. Vogelstein, Peter Dayan
Psychiatry: Insights into depression through normative decision-making models. NIPS (2008)
Rama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel
Encoding and Decoding Spikes for Dynamic Stimuli. Neural Comput. 20 (9) (2008)
Marzia De Lucia, Juan Fritschy, Peter Dayan, David S. Holder
A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis. Medical Biol. Eng. Comput. 46 (3) (2008)
Peter Dayan
Bilinearity, rules, and prefrontal cortex. Frontiers Comput. Neurosci. 1 (2007)
Máté Lengyel, Peter Dayan
Hippocampal Contributions to Control: The Third Way. NIPS (2007)
Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan
Fast Population Coding. Neural Comput. 19 (2) (2007)

Peter Dayan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Peter Dayan