Peter Dayan

	2012
91		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)
90		Ruben Coen Cagli, Peter Dayan, Odelia Schwartz: Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics. PLoS Computational Biology 8(3): (2012)
	2011
89		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
88		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)
87		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)
86		Duncan Mortimer, Peter Dayan, Kevin Burrage, Geoffrey J. Goodhill: Bayes-Optimal Chemotaxis. Neural Computation 23(2): 336-373 (2011)
85		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)
	2010
84		Reza Moazzezi, Peter Dayan: Change-Based Inference in Attractor Nets: Linear Analysis. Neural Computation 22(12): 3036-3061 (2010)
83		Ulrik R. Beierholm, Peter Dayan: Pavlovian-Instrumental Interaction in 'Observing Behavior'. PLoS Computational Biology 6(9): (2010)
	2009
82		Jean-Pascal Pfister, Peter Dayan, Máté Lengyel: Know Thy Neighbour: A Normative Theory of Synaptic Depression. NIPS 2009: 1464-1472
81		Ruben Coen Cagli, Peter Dayan, Odelia Schwartz: Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing. NIPS 2009: 369-377
80		Peter Dayan: Goal-directed control and its antipodes. Neural Networks 22(3): 213-219 (2009)
	2008
79		Debajyoti Ray, Brooks King-Casas, P. Read Montague, Peter Dayan: Bayesian Model of Behaviour in Economic Games. NIPS 2008: 1345-1352
78		Peter Dayan: Load and Attentional Bayes. NIPS 2008: 369-376
77		Quentin J. M. Huys, Joshua T. Vogelstein, Peter Dayan: Psychiatry: Insights into depression through normative decision-making models. NIPS 2008: 729-736
76		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)
75		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)
74		Peter Dayan, Quentin J. M. Huys: Serotonin, Inhibition, and Negative Mood. PLoS Computational Biology 4(2): (2008)
	2007
73		Máté Lengyel, Peter Dayan: Hippocampal Contributions to Control: The Third Way. NIPS 2007
72		Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan: Fast Population Coding. Neural Computation 19(2): 404-441 (2007)
	2006
71		Máté Lengyel, Peter Dayan: Uncertainty, phase and oscillatory hippocampal recall. NIPS 2006: 833-840
70		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)
69		Peter Dayan: Images, Frames, and Connectionist Hierarchies. Neural Computation 18(10): 2293-2319 (2006)
68		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)
67		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)
66		Zhaoping Li, Peter Dayan: Pre-attentive visual selection. Neural Networks 19(9): 1437-1439 (2006)
	2005
65		Miguel Á. Carreira-Perpiñán, Peter Dayan, Geoffrey J. Goodhill: Differential Priors for Elastic Nets. IDEAL 2005: 335-342
64		Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan: A Bayesian Framework for Tilt Perception and Confidence. NIPS 2005
63		Yael Niv, Nathaniel D. Daw, Peter Dayan: How fast to work: Response vigor, motivation and tonic dopamine. NIPS 2005
62		Peter Dayan, Angela J. Yu: Norepinephrine and Neural Interrupts. NIPS 2005
	2004
61		Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan: Assignment of Multiplicative Mixtures in Natural Images. NIPS 2004
60		Angela J. Yu, Peter Dayan: Inference, Attention, and Decision in a Bayesian Neural Architecture. NIPS 2004
59		Richard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan: Probabilistic Computation in Spiking Populations. NIPS 2004
58		Máté Lengyel, Peter Dayan: Rate- and Phase-coded Autoassociative Memory. NIPS 2004
	2003
57		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
56		Peter Dayan, Michael Häusser: Plasticity Kernels and Temporal Statistics. NIPS 2003
55		Maneesh Sahani, Peter Dayan: Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity. Neural Computation 15(10): 2255-2279 (2003)
	2002
54		Angela J. Yu, Peter Dayan: Expected and Unexpected Uncertainty: ACh and NE in the Neocortex. NIPS 2002: 157-164
53		Szabolcs Káli, Peter Dayan: Replay, Repair and Consolidation. NIPS 2002: 19-26
52		Peter Dayan, Maneesh Sahani, Gregoire Deback: Adaptation and Unsupervised Learning. NIPS 2002: 221-228
51		David J. Foster, Peter Dayan: Structure in the Space of Value Functions. Machine Learning 49(2-3): 325-346 (2002)
50		Kenji Doya, Peter Dayan, Michael E. Hasselmo: Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks 15(4-6): 475-477 (2002)
49		Sham Kakade, Peter Dayan: Dopamine: generalization and bonuses. Neural Networks 15(4-6): 549-559 (2002)
48		Nathaniel D. Daw, Sham Kakade, Peter Dayan: Opponent interactions between serotonin and dopamine. Neural Networks 15(4-6): 603-616 (2002)
47		Angela J. Yu, Peter Dayan: Acetylcholine in cortical inference. Neural Networks 15(4-6): 719-730 (2002)
	2001
46		Peter Dayan: Motivated Reinforcement Learning. NIPS 2001: 11-18
45		Peter Dayan, Angela J. Yu: ACh, Uncertainty, and Cortical Inference. NIPS 2001: 189-196
44		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)
	2000
43		Sham Kakade, Peter Dayan: Dopamine Bonuses. NIPS 2000: 131-137
42		Peter Dayan: Competition and Arbors in Ocular Dominance. NIPS 2000: 203-209
41		Szabolcs Káli, Peter Dayan: Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex. NIPS 2000: 24-30
40		Zhaoping Li, Peter Dayan: Position Variance, Recurrence and Perceptual Learning. NIPS 2000: 31-37
39		Peter Dayan, Sham Kakade: Explaining Away in Weight Space. NIPS 2000: 451-457
	1999
38		Sham Kakade, Peter Dayan: Acquisition in Autoshaping. NIPS 1999: 24-30
37		L. F. Abbott, Peter Dayan: The Effect of Correlated Variability on the Accuracy of a Population Code. Neural Computation 11(1): 91-101 (1999)
36		Peter Dayan: Recurrent Sampling Models for the Helmholtz Machine. Neural Computation 11(3): 653-677 (1999)
	1998
35		Richard S. Zemel, Peter Dayan: Distributional Population Codes and Multiple Motion Models. NIPS 1998: 174-182
34		Zhaoping Li, Peter Dayan: Computational Differences between Asymmetrical and Symmetrical Networks. NIPS 1998: 274-280
33		Friedrich T. Sommer, Peter Dayan: Bayesian retrieval in associative memories with storage errors. IEEE Transactions on Neural Networks 9(4): 705-713 (1998)
32		Satinder P. Singh, Peter Dayan: Analytical Mean Squared Error Curves for Temporal Difference Learning. Machine Learning 32(1): 5-40 (1998)
31		Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. Neural Computation 10(2): 403-430 (1998)
30		Peter Dayan: A Hierarchical Model of Binocular Rivalry. Neural Computation 10(5): 1119-1135 (1998)
	1997
29		Richard S. Zemel, Peter Dayan: Combining Probabilistic Population Codes. IJCAI 1997: 1114-1119
28		David J. Foster, Richard G. M. Morris, Peter Dayan: Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning. NIPS 1997
27		Peter Dayan, Theresa Long: Statistical Models of Conditioning. NIPS 1997
26		Peter Dayan, Geoffrey E. Hinton: Using Expectation-Maximization for Reinforcement Learning. Neural Computation 9(2): 271-278 (1997)
25		Radford M. Neal, Peter Dayan: Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural Computation 9(8): 1781-1803 (1997)
	1996
24		Satinder P. Singh, Peter Dayan: Analytical Mean Squared Error Curves in Temporal Difference Learning. NIPS 1996: 1054-1060
23		Maximilian Riesenhuber, Peter Dayan: Neural Models for Part-Whole Hierarchies. NIPS 1996: 17-26
22		Peter Dayan: A Hierarchical Model of Visual Rivalry. NIPS 1996: 48-54
21		Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. NIPS 1996: 676-684
20		Peter Dayan, Terrence J. Sejnowski: Exploration Bonuses and Dual Control. Machine Learning 25(1): 5-22 (1996)
19		Peter Dayan, Geoffrey E. Hinton: Varieties of Helmholtz Machine. Neural Networks 9(8): 1385-1403 (1996)
	1995
18		Terrence J. Sejnowski, Peter Dayan, P. Read Montague: Predictive Hebbian Learning. COLT 1995: 15-18
17		Peter Dayan, Satinder P. Singh: Improving Policies without Measuring Merits. NIPS 1995: 1059-1065
16		Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan: Does the Wake-sleep Algorithm Produce Good Density Estimators? NIPS 1995: 661-667
15		Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel: The Helmholtz machine. Neural Computation 7(5): 889-904 (1995)
	1994
14		Geoffrey E. Hinton, Michael Revow, Peter Dayan: Recognizing Handwritten Digits Using Mixtures of Linear Models. NIPS 1994: 1015-1022
13		Peter Dayan, Terrence J. Sejnowski: TD(lambda) Converges with Probability 1. Machine Learning 14(1): 295-301 (1994)
	1993
12		P. Read Montague, Peter Dayan, Terrence J. Sejnowski: Foraging in an Uncertain Environment Using Predictive Hebbian Learning. NIPS 1993: 598-605
11		Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski: Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993: 817-824
10		Peter Dayan, Terrence J. Sejnowski: The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural Computation 5(2): 205-209 (1993)
9		Peter Dayan: Arbitrary Elastic Topologies and Ocular Dominance. Neural Computation 5(3): 392-401 (1993)
8		Peter Dayan: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural Computation 5(4): 613-624 (1993)
	1992
7		Peter Dayan, Geoffrey E. Hinton: Feudal Reinforcement Learning. NIPS 1992: 271-278
6		P. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski: Using Aperiodic Reinforcement for Directed Self-Organization During Development. NIPS 1992: 969-976
5		Christopher J. C. H. Watkins, Peter Dayan: Technical Note Q-Learning. Machine Learning 8: 279-292 (1992)
4		Peter Dayan: The Convergence of TD(lambda) for General lambda. Machine Learning 8: 341-362 (1992)
	1991
3		Peter Dayan, Geoffrey J. Goodhill: Perturbing Hebbian Rules. NIPS 1991: 19-26
2		Peter Dayan, David J. Willshaw: Optimising synaptic learning rules in linear associative memories. Biological Cybernetics 65(4): 253-265 (1991)
	1990
1		Peter Dayan: Navigating Through Temporal Difference. NIPS 1990: 464-470

Coauthor Index

1	L. F. Abbott	[37]
2	Ulrik R. Beierholm	[83] [87]
3	Kevin Burrage	[86]
4	Ruben Coen Cagli	[81] [90]
5	Miguel Á. Carreira-Perpiñán	[65]
6	Roshan Cools	[85]
7	Nathaniel D. Daw	[48] [63] [67]
8	Gregoire Deback	[52]
9	Raymond J. Dolan	[85] [87]
10	Kenji Doya	[50]
11	Emrah Düzel	[87]
12	Neir Eshel	[91]
13	David J. Foster	[28] [51]
14	Brendan J. Frey	[16]
15	Eva Friedel	[85]
16	Juan Fritschy	[76]
17	Martin Gölzer	[85]
18	Geoffrey J. Goodhill	[3] [65] [86]
19	Aaron J. Gruber	[57] [70]
20	Marc Guitart-Masip	[87]
21	Boris S. Gutkin	[57] [70]
22	Michael E. Hasselmo	[50]
23	Michael Häusser	[56]
24	Andreas Heinz	[85]
25	Geoffrey E. Hinton	[7] [14] [15] [16] [19] [26]
26	David S. Holder	[76]
27	Quentin J. M. Huys	[59] [72] [74] [75] [77] [85] [91]
28	Sham M. Kakade (Sham Kakade)	[38] [39] [43] [48] [49]
29	Szabolcs Káli	[41] [44] [53]
30	Brooks King-Casas	[79]
31	Máté Lengyel	[58] [71] [73] [82] [89]
32	Ales Leonardis	[88]
33	Zhaoping Li	[34] [40] [66]
34	Theresa Long	[27]
35	Marzia De Lucia	[76]
36	Reza Moazzezi	[84]
37	P. Read Montague	[6] [12] [18] [79]
38	Richard G. M. Morris	[28]
39	Duncan Mortimer	[86]
40	Rama Natarajan	[59] [72] [75]
41	Radford M. Neal	[15] [25]
42	Yael Niv	[63] [67]
43	Steven J. Nowlan	[6]
44	Elizabeth J. P. O'Nions	[91]
45	Jan Peters	[88]
46	Jean-Pascal Pfister	[82]
47	Alexandre Pouget	[21] [31]
48	Debajyoti Ray	[79]
49	Michael Revow	[14]
50	Maximilian Riesenhuber	[23]
51	Jonathan P. Roiser	[91]
52	Maneesh Sahani	[52] [55]
53	Cristina Savin	[89]
54	Nicol N. Schraudolph	[11]
55	Odelia Schwartz	[61] [64] [68] [81] [90]
56	Terrence J. Sejnowski	[6] [10] [11] [12] [13] [18] [20] [61] [64] [68]
57	Ben Seymour	[67]
58	Luke Sheridan	[91]
59	Satinder P. Singh	[17] [24] [32]
60	Sara A. Solla	[57] [70]
61	Friedrich T. Sommer	[33]
62	Joshua T. Vogelstein	[77]
63	Christopher J. C. H. Watkins	[5]
64	David J. Willshaw	[2]
65	Jeremy L. Wyatt	[88]
66	Angela J. Yu	[45] [47] [54] [60] [62]
67	Richard S. Zemel	[15] [21] [29] [31] [35] [59] [72] [75]

Colors in the list of coauthors

Last update Tue May 29 01:28:40 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page