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ORCIDPeter Dayan
Peter S. Dayan
Person information
- affiliation: Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- affiliation (former): University College London, Gatsby Computational Neuroscience Unit
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2020 – today
- 2024
[i19]Tankred Saanum, Peter Dayan, Eric Schulz:
Predicting the Future with Simple World Models. CoRR abs/2401.17835 (2024)- [i18]Kevin Shen, Surabhi S. Nath, Aenne Brielmann, Peter Dayan:
Simplicity in Complexity. CoRR abs/2403.03134 (2024) - [i17]Surabhi S. Nath, Peter Dayan, Claire Stevenson:
Characterising the Creative Process in Humans and Large Language Models. CoRR abs/2405.00899 (2024) - [i16]Nitay Alon, Lion Schulz, Joseph M. Barnby, Jeffrey S. Rosenschein, Peter Dayan:
Detecting and Deterring Manipulation in a Cognitive Hierarchy. CoRR abs/2405.01870 (2024) - 2023
- [j89]Kevin Lloyd
, Peter Dayan:
Reframing dopamine: A controlled controller at the limbic-motor interface. PLoS Comput. Biol. 19(10) (2023) - [c71]Noémi Élteto, Peter Dayan:
Habits of Mind: Reusing Action Sequences for Efficient Planning. CogSci 2023 - [c70]Valerio Rubino, Mani Hamidi, Peter Dayan, Charley M. Wu:
Compositionality under time pressure. CogSci 2023 - [c69]Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz:
Reinforcement Learning with Simple Sequence Priors. NeurIPS 2023 - [i15]Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz:
Reinforcement Learning with Simple Sequence Priors. CoRR abs/2305.17109 (2023) - [i14]Noémi Élteto, Peter Dayan:
Habits of Mind: Reusing Action Sequences for Efficient Planning. CoRR abs/2306.05298 (2023) - [i13]Chris Gagne, Peter Dayan:
The Inner Sentiments of a Thought. CoRR abs/2307.01784 (2023) - 2022
- [j88]Georgy Antonov, Christopher Gagne, Eran Eldar, Peter Dayan:
Optimism and pessimism in optimised replay. PLoS Comput. Biol. 18(1) (2022) - [j87]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) - [j86]Christopher Gagne, Sharon Agai, Christian Ramiro, Peter Dayan, Sonia J. Bishop:
Biased belief priors versus biased belief updating: Differential correlates of depression and anxiety. PLoS Comput. Biol. 18(8) (2022) - [j85]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): 1009920 (2022) - [j84]Sahiti Chebolu, Peter Dayan, Kevin Lloyd:
Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. PLoS Comput. Biol. 18(10): 1010642 (2022) - [j83]Noémi Élteto, Dezso Németh, Karolina Janacsek, Peter Dayan:
Tracking human skill learning with a hierarchical Bayesian sequence model. PLoS Comput. Biol. 18(11): 1009866 (2022) - [c68]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: 10974-10996 - 2021
- [j82]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): 2523-2535 (2021) - [j81]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) - [j80]Federico Mancinelli, Jonathan P. Roiser, Peter Dayan:
Internality and the internalisation of failure: Evidence from a novel task. PLoS Comput. Biol. 17(7) (2021) - [c67]Sebastian A. Bruijns, International Brain Laboratory, Peter Dayan:
Exploring learning trajectories with dynamic infinite hidden Markov models. CogSci 2021 - [c66]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 - [c65]Lion Schulz, Stephen M. Fleming, Peter Dayan:
Confidence in control: Metacognitive computations for information search. CogSci 2021 - [c64]Sanjeevan Ahilan, Peter Dayan:
Correcting experience replay for multi-agent communication. ICLR 2021 - [c63]Chris Gagne, Peter Dayan:
Two steps to risk sensitivity. NeurIPS 2021: 22209-22220 - [i12]Chris Gagne, Peter Dayan:
Two steps to risk sensitivity. CoRR abs/2111.06803 (2021) - [i11]Chris Gagne, Peter Dayan:
Catastrophe, Compounding & Consistency in Choice. CoRR abs/2111.06804 (2021) - 2020
- [j79]Mustafa Ozkaynak, Noel Metcalf, Daniel M. Cohen, Larissa S. May, Peter S. Dayan, Rakesh Mistry:
Considerations for Designing EHR-Embedded Clinical Decision Support Systems for Antimicrobial Stewardship in Pediatric Emergency Departments. Appl. Clin. Inform. 11(04): 589-597 (2020) - [j78]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) - [c62]Pablo Tano, Peter Dayan, Alexandre Pouget:
A Local Temporal Difference Code for Distributional Reinforcement Learning. NeurIPS 2020 - [c61]Eren Sezener, Peter Dayan:
Static and Dynamic Values of Computation in MCTS. UAI 2020: 31-40 - [i10]Eren Sezener, Peter Dayan:
Static and Dynamic Values of Computation in MCTS. CoRR abs/2002.04335 (2020) - [i9]Sanjeevan Ahilan, Peter Dayan:
Correcting Experience Replay for Multi-Agent Communication. CoRR abs/2010.01192 (2020)
2010 – 2019
- 2019
- [j77]Amir Homayoun Javadi, Eva Zita Patai, Eugenia Marin-Garcia, Aaron Margolis, Heng-Ru May Tan, Dharshan Kumaran, Marko Nardini, Will D. Penny, Emrah Düzel, Peter S. Dayan, Hugo J. Spiers:
Prefrontal Dynamics Associated with Efficient Detours and Shortcuts: A Combined Functional Magnetic Resonance Imaging and Magnetoencenphalography Study. J. Cogn. Neurosci. 31(8): 1227-1247 (2019) - [j76]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) - [j75]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) - [j74]Toby Wise, Jochen Michely, Peter Dayan, Raymond J. Dolan:
A computational account of threat-related attentional bias. PLoS Comput. Biol. 15(10) (2019) - [c60]Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong:
Disentangled behavioural representations. NeurIPS 2019: 2251-2260 - [i8]Sanjeevan Ahilan, Peter Dayan:
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. CoRR abs/1901.08492 (2019) - 2018
- [j73]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. 09(02): 248-260 (2018) - [j72]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. 09(03): 693-703 (2018) - [j71]Francesco Rigoli, Benjamin Chew, Peter Dayan, Raymond J. Dolan:
Learning Contextual Reward Expectations for Value Adaptation. J. Cogn. Neurosci. 30(1) (2018) - [j70]Kevin Lloyd, Peter Dayan:
Interrupting behaviour: Minimizing decision costs via temporal commitment and low-level interrupts. PLoS Comput. Biol. 14(1) (2018) - [j69]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) - [j68]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) - [j67]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) - [c59]Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap:
Fast Parametric Learning with Activation Memorization. ICML 2018: 4225-4234 - [c58]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: 4233-4242 - [i7]Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap:
Fast Parametric Learning with Activation Memorization. CoRR abs/1803.10049 (2018) - [i6]Theofanis Karaletsos, Peter Dayan, Zoubin Ghahramani:
Probabilistic Meta-Representations Of Neural Networks. CoRR abs/1810.00555 (2018) - 2017
- [j66]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) - [c57]David Raposo, Peter Dayan, Demis Hassabis, Peter W. Battaglia:
A model of structure learning, inference, and generation for scene understanding. CogSci 2017 - [i5]Ivo Danihelka, Balaji Lakshminarayanan, Benigno Uria, Daan Wierstra, Peter Dayan:
Comparison of Maximum Likelihood and GAN-based training of Real NVPs. CoRR abs/1705.05263 (2017) - 2016
- [j65]Marguerite Swietlik, Sara J. Deakyne Davies, 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. 07(02): 534-542 (2016) - [j64]Howard S. Goldberg, Marilyn D. Paterno, Robert Grundmeier, Beatriz H. Rocha, Jeffrey Hoffman, Eric Tham, Marguerite Swietlik, Molly Schaeffer, Deepika Pabbathi, Sara J. Deakyne Davies, Nathan Kuppermann, Peter S. Dayan:
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 87: 101-110 (2016) - [j63]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): 1303-1317 (2016) - [j62]Francesco Rigoli, Robb B. Rutledge, Peter Dayan, Raymond J. Dolan:
The influence of contextual reward statistics on risk preference. NeuroImage 128: 74-84 (2016) - [j61]Francesco Rigoli, Benjamin Chew, Peter Dayan, Raymond J. Dolan:
Multiple value signals in dopaminergic midbrain and their role in avoidance contexts. NeuroImage 135: 197-203 (2016) - [j60]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) - [i4]Neil R. Bramley, Peter Dayan, Thomas L. Griffiths, David A. Lagnado:
Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning. CoRR abs/1609.04212 (2016) - 2015
- [j59]Loic Matthey, Paul M. Bays, Peter Dayan:
A Probabilistic Palimpsest Model of Visual Short-term Memory. PLoS Comput. Biol. 11(1) (2015) - [j58]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) - [j57]Andreas Hula, P. Read Montague, Peter Dayan:
Monte Carlo Planning Method Estimates Planning Horizons during Interactive Social Exchange. PLoS Comput. Biol. 11(6) (2015) - [j56]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) - [j55]Kevin Lloyd, Peter Dayan:
Tamping Ramping: Algorithmic, Implementational, and Computational Explanations of Phasic Dopamine Signals in the Accumbens. PLoS Comput. Biol. 11(12) (2015) - [c56]Neil Bramley, Peter Dayan, David A. Lagnado:
Staying afloat on Neurath's boat - Heuristics for sequential causal learning. CogSci 2015 - 2014
- [j54]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) - [j53]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) - [j52]Peter Dayan:
Rationalizable Irrationalities of Choice. Top. Cogn. Sci. 6(2): 204-228 (2014) - [c55]Arthur Guez, Nicolas Heess, David Silver, Peter Dayan:
Bayes-Adaptive Simulation-based Search with Value Function Approximation. NIPS 2014: 451-459 - [i3]Arthur Guez, David Silver, Peter Dayan:
Better Optimism By Bayes: Adaptive Planning with Rich Models. CoRR abs/1402.1958 (2014) - 2013
- [j51]Arthur Guez, David Silver, Peter Dayan:
Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search. J. Artif. Intell. Res. 48: 841-883 (2013) - [j50]Barbara Sheehan, Lise E. Nigrovic, Peter S. Dayan, Nathan Kuppermann, Dustin W. Ballard, Evaline Alessandrini, Lalit Bajaj, Howard Goldberg, Jeffrey Hoffman, Steven R. Offerman, Dustin G. Mark, Marguerite Swietlik, Eric Tham, Leah Tzimenatos, David R. Vinson, Grant S. Jones, Suzanne Bakken:
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 46(5): 905-913 (2013) - [j49]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) - [c54]Samuel Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew M. Botvinick, Peter Dayan:
Structured cognitive representations and complex inference in neural systems. CogSci 2013 - [c53]Cristina Savin, Peter Dayan, Máté Lengyel:
Correlations strike back (again): the case of associative memory retrieval. NIPS 2013: 288-296 - [p1]Peter Dayan:
Exploration from Generalization Mediated by Multiple Controllers. Intrinsically Motivated Learning in Natural and Artificial Systems 2013: 73-91 - 2012
- [j48]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): 154-166 (2012) - [j47]Ruben Coen Cagli, Peter Dayan, Odelia Schwartz:
Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics. PLoS Comput. Biol. 8(3) (2012) - [j46]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) - [j45]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) - [c52]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 - [c51]Magda Osman, Maarten Speekenbrink, Peter Dayan, Masataka Watanabe, Nigel Harvey:
Dynamic decision making: neuronal, computational, and cognitive underpinnings. CogSci 2012 - [c50]Barbara Sheehan, Lise E. Nigrovic, Peter S. Dayan, Nathan Kuppermann, Dustin W. Ballard, Evaline Alessandrini, Lalit Bajaj, Howard Goldberg, Jeffrey Hoffman, Steven R. Offerman, Dustin G. Mark, Marguerite Swietlik, Eric Tham, Leah Tzimenatos, David R. Vinson:
An Activity Theory Based Analysis of Work Activities in the Emergency Department. Nursing Informatics 2012 - [c49]Arthur Guez, David Silver, Peter Dayan:
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search. NIPS 2012: 1034-1042 - [i2]Arthur Guez, David Silver, Peter Dayan:
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search. CoRR abs/1205.3109 (2012) - 2011
- [j44]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): 3933-3938 (2011) - [j43]Duncan Mortimer, Peter Dayan, Kevin Burrage, Geoffrey J. Goodhill:
Bayes-Optimal Chemotaxis. Neural Comput. 23(2): 336-373 (2011) - [j42]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) - [c48]Cristina Savin, Peter Dayan, Máté Lengyel:
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories. NIPS 2011: 1305-1313 - [i1]Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, Jan Peters:
Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). Dagstuhl Reports 1(3): 67-95 (2011) - 2010
- [j41]Reza Moazzezi, Peter Dayan:
Change-Based Inference in Attractor Nets: Linear Analysis. Neural Comput. 22(12): 3036-3061 (2010) - [j40]Ulrik R. Beierholm, Peter Dayan:
Pavlovian-Instrumental Interaction in 'Observing Behavior'. PLoS Comput. Biol. 6(9) (2010)
2000 – 2009
- 2009
- [j39]Peter Dayan:
Goal-directed control and its antipodes. Neural Networks 22(3): 213-219 (2009) - [c47]Ruben Coen Cagli, Peter Dayan, Odelia Schwartz:
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing. NIPS 2009: 369-377 - [c46]Jean-Pascal Pfister, Peter Dayan, Máté Lengyel:
Know Thy Neighbour: A Normative Theory of Synaptic Depression. NIPS 2009: 1464-1472 - 2008
- [j38]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): 263-272 (2008) - [j37]Rama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel:
Encoding and Decoding Spikes for Dynamic Stimuli. Neural Comput. 20(9): 2325-2360 (2008) - [j36]Peter Dayan, Quentin J. M. Huys:
Serotonin, Inhibition, and Negative Mood. PLoS Comput. Biol. 4(2) (2008) - [c45]Peter Dayan:
Load and Attentional Bayes. NIPS 2008: 369-376 - [c44]Quentin J. M. Huys, Joshua T. Vogelstein, Peter Dayan:
Psychiatry: Insights into depression through normative decision-making models. NIPS 2008: 729-736 - [c43]Debajyoti Ray, Brooks King-Casas, P. Read Montague, Peter Dayan:
Bayesian Model of Behaviour in Economic Games. NIPS 2008: 1345-1352 - 2007
- [j35]Peter Dayan:
Bilinearity, rules, and prefrontal cortex. Frontiers Comput. Neurosci. 1: 1 (2007) - [j34]Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan:
Fast Population Coding. Neural Comput. 19(2): 404-441 (2007) - [c42]Máté Lengyel, Peter Dayan:
Hippocampal Contributions to Control: The Third Way. NIPS 2007: 889-896 - 2006
- [j33]Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla:
Dopamine modulation in the basal ganglia locks the gate to working memory. J. Comput. Neurosci. 20(2): 153-166 (2006) - [j32]Peter Dayan:
Images, Frames, and Connectionist Hierarchies. Neural Comput. 18(10): 2293-2319 (2006) - [j31]Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan:
Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics. Neural Comput. 18(11): 2680-2718 (2006) - [j30]Peter Dayan, Yael Niv, Ben Seymour, Nathaniel D. Daw:
The misbehavior of value and the discipline of the will. Neural Networks 19(8): 1153-1160 (2006) - [j29]Zhaoping Li, Peter Dayan:
Pre-attentive visual selection. Neural Networks 19(9): 1437-1439 (2006) - [c41]Máté Lengyel, Peter Dayan:
Uncertainty, phase and oscillatory hippocampal recall. NIPS 2006: 833-840 - 2005
- [c40]