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Peter Dayan
2010 – today
- 2012
[j44]Marc Guitart-Masip, Quentin J. M. Huys, Lluis 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)- [j43]Ruben Coen Cagli, Peter Dayan, Odelia Schwartz: Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics. PLoS Computational Biology 8(3) (2012)
- [j42]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 Computational Biology 8(3) (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
- [j41]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. Cognitive Neuroscience 23(12): 3933-3938 (2011)
- [j40]Duncan Mortimer, Peter Dayan, Kevin Burrage, Geoffrey J. Goodhill: Bayes-Optimal Chemotaxis. Neural Computation 23(2): 336-373 (2011)
- [j39]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 Computational Biology 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
- [j38]Reza Moazzezi, Peter Dayan: Change-Based Inference in Attractor Nets: Linear Analysis. Neural Computation 22(12): 3036-3061 (2010)
- [j37]Ulrik R. Beierholm, Peter Dayan: Pavlovian-Instrumental Interaction in 'Observing Behavior'. PLoS Computational Biology 6(9) (2010)
2000 – 2009
- 2009
- [j36]
- [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
- [j35]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. Med. Biol. Engineering and Computing 46(3): 263-272 (2008)
- [j34]Rama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel: Encoding and Decoding Spikes for Dynamic Stimuli. Neural Computation 20(9): 2325-2360 (2008)
- [j33]Peter Dayan, Quentin J. M. Huys: Serotonin, Inhibition, and Negative Mood. PLoS Computational Biology 4(2) (2008)
- [c45]
- [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
- [j32]Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan: Fast Population Coding. Neural Computation 19(2): 404-441 (2007)
- [c42]
- 2006
- [j31]Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla: Dopamine modulation in the basal ganglia locks the gate to working memory. Journal of Computational Neuroscience 20(2): 153-166 (2006)
- [j30]Peter Dayan: Images, Frames, and Connectionist Hierarchies. Neural Computation 18(10): 2293-2319 (2006)
- [j29]Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan: Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics. Neural Computation 18(11): 2680-2718 (2006)
- [j28]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)
- [j27]
- [c41]Máté Lengyel, Peter Dayan: Uncertainty, phase and oscillatory hippocampal recall. NIPS 2006: 833-840
- 2005
- [c40]Miguel Á. Carreira-Perpiñán, Peter Dayan, Geoffrey J. Goodhill: Differential Priors for Elastic Nets. IDEAL 2005: 335-342
- [c39]
- [c38]Yael Niv, Nathaniel D. Daw, Peter Dayan: How fast to work: Response vigor, motivation and tonic dopamine. NIPS 2005
- [c37]Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan: A Bayesian Framework for Tilt Perception and Confidence. NIPS 2005
- 2004
- [c36]
- [c35]Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan: Assignment of Multiplicative Mixtures in Natural Images. NIPS 2004
- [c34]Angela J. Yu, Peter Dayan: Inference, Attention, and Decision in a Bayesian Neural Architecture. NIPS 2004
- [c33]Richard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan: Probabilistic Computation in Spiking Populations. NIPS 2004
- 2003
- [j26]Maneesh Sahani, Peter Dayan: Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity. Neural Computation 15(10): 2255-2279 (2003)
- [c32]
- [c31]Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla: Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory. NIPS 2003
- 2002
- [j25]David J. Foster, Peter Dayan: Structure in the Space of Value Functions. Machine Learning 49(2-3): 325-346 (2002)
- [j24]Kenji Doya, Peter Dayan, Michael E. Hasselmo: Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks 15(4-6): 475-477 (2002)
- [j23]Sham Kakade, Peter Dayan: Dopamine: generalization and bonuses. Neural Networks 15(4-6): 549-559 (2002)
- [j22]Nathaniel D. Daw, Sham Kakade, Peter Dayan: Opponent interactions between serotonin and dopamine. Neural Networks 15(4-6): 603-616 (2002)
- [j21]Angela J. Yu, Peter Dayan: Acetylcholine in cortical inference. Neural Networks 15(4-6): 719-730 (2002)
- [c30]
- [c29]Angela J. Yu, Peter Dayan: Expected and Unexpected Uncertainty: ACh and NE in the Neocortex. NIPS 2002: 157-164
- [c28]Peter Dayan, Maneesh Sahani, Gregoire Deback: Adaptation and Unsupervised Learning. NIPS 2002: 221-228
- 2001
- [j20]Szabolcs Káli, Peter Dayan: A familiarity-based learning procedure for the establishment of place fields in area CA3 of the rat hippocampus. Neurocomputing 38-40: 691-695 (2001)
- [c27]
- [c26]
- 2000
- [c25]Szabolcs Káli, Peter Dayan: Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex. NIPS 2000: 24-30
- [c24]
- [c23]
- [c22]
- [c21]
1990 – 1999
- 1999
- [j19]L. F. Abbott, Peter Dayan: The Effect of Correlated Variability on the Accuracy of a Population Code. Neural Computation 11(1): 91-101 (1999)
- [j18]Peter Dayan: Recurrent Sampling Models for the Helmholtz Machine. Neural Computation 11(3): 653-677 (1999)
- [c20]
- 1998
- [j17]Satinder P. Singh, Peter Dayan: Analytical Mean Squared Error Curves for Temporal Difference Learning. Machine Learning 32(1): 5-40 (1998)
- [j16]Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. Neural Computation 10(2): 403-430 (1998)
- [j15]
- [j14]Friedrich T. Sommer, Peter Dayan: Bayesian retrieval in associative memories with storage errors. IEEE Transactions on Neural Networks 9(4): 705-713 (1998)
- [c19]Richard S. Zemel, Peter Dayan: Distributional Population Codes and Multiple Motion Models. NIPS 1998: 174-182
- [c18]Zhaoping Li, Peter Dayan: Computational Differences between Asymmetrical and Symmetrical Networks. NIPS 1998: 274-280
- 1997
- [j13]Peter Dayan, Geoffrey E. Hinton: Using Expectation-Maximization for Reinforcement Learning. Neural Computation 9(2): 271-278 (1997)
- [j12]Radford M. Neal, Peter Dayan: Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural Computation 9(8): 1781-1803 (1997)
- [j11]Geoffrey E. Hinton, Peter Dayan, Michael Revow: Modeling the manifolds of images of handwritten digits. IEEE Trans. Neural Netw. Learning Syst. 8(1): 65-74 (1997)
- [c17]
- [c16]
- [c15]David J. Foster, Richard G. M. Morris, Peter Dayan: Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning. NIPS 1997
- 1996
- [j10]Peter Dayan, Terrence J. Sejnowski: Exploration Bonuses and Dual Control. Machine Learning 25(1): 5-22 (1996)
- [j9]Peter Dayan, Geoffrey E. Hinton: Varieties of Helmholtz Machine. Neural Networks 9(8): 1385-1403 (1996)
- [c14]
- [c13]
- [c12]Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. NIPS 1996: 676-684
- [c11]Satinder P. Singh, Peter Dayan: Analytical Mean Squared Error Curves in Temporal Difference Learning. NIPS 1996: 1054-1060
- 1995
- [j8]Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel: The Helmholtz machine. Neural Computation 7(5): 889-904 (1995)
- [c10]
- [c9]Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan: Does the Wake-sleep Algorithm Produce Good Density Estimators? NIPS 1995: 661-667
- [c8]
- 1994
- [j7]Peter Dayan, Terrence J. Sejnowski: TD(lambda) Converges with Probability 1. Machine Learning 14(1): 295-301 (1994)
- [c7]Geoffrey E. Hinton, Michael Revow, Peter Dayan: Recognizing Handwritten Digits Using Mixtures of Linear Models. NIPS 1994: 1015-1022
- 1993
- [j6]Peter Dayan, Terrence J. Sejnowski: The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural Computation 5(2): 205-209 (1993)
- [j5]Peter Dayan: Arbitrary Elastic Topologies and Ocular Dominance. Neural Computation 5(3): 392-401 (1993)
- [j4]Peter Dayan: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural Computation 5(4): 613-624 (1993)
- [c6]P. Read Montague, Peter Dayan, Terrence J. Sejnowski: Foraging in an Uncertain Environment Using Predictive Hebbian Learning. NIPS 1993: 598-605
- [c5]Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski: Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993: 817-824
- 1992
- [j3]Christopher J. C. H. Watkins, Peter Dayan: Technical Note Q-Learning. Machine Learning 8: 279-292 (1992)
- [j2]
- [c4]
- [c3]P. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski: Using Aperiodic Reinforcement for Directed Self-Organization During Development. NIPS 1992: 969-976
- 1991
- [j1]Peter Dayan, David J. Willshaw: Optimising synaptic learning rules in linear associative memories. Biological Cybernetics 65(4): 253-265 (1991)
- [c2]
- 1990
- [c1]
Coauthor Index
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last updated on 2013-02-25 18:38 CET by the dblp team