Peter Dayan

	2009
77		Peter Dayan: Goal-directed control and its antipodes. Neural Networks 22(3): 213-219 (2009)
	2008
76		Debajyoti Ray, Brooks King-Casas, P. Read Montague, Peter Dayan: Bayesian Model of Behaviour in Economic Games. NIPS 2008: 1345-1352
75		Peter Dayan: Load and Attentional Bayes. NIPS 2008: 369-376
74		Quentin J. M. Huys, Joshua T. Vogelstein, Peter Dayan: Psychiatry: Insights into depression through normative decision-making models. NIPS 2008: 729-736
73		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)
	2007
72		Máté Lengyel, Peter Dayan: Hippocampal Contributions to Control: The Third Way. NIPS 2007
71		Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan: Fast Population Coding. Neural Computation 19(2): 404-441 (2007)
	2006
70		Máté Lengyel, Peter Dayan: Uncertainty, phase and oscillatory hippocampal recall. NIPS 2006: 833-840
69		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)
68		Peter Dayan: Images, Frames, and Connectionist Hierarchies. Neural Computation 18(10): 2293-2319 (2006)
67		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)
66		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)
65		Zhaoping Li, Peter Dayan: Pre-attentive visual selection. Neural Networks 19(9): 1437-1439 (2006)
	2005
64		Miguel Á. Carreira-Perpiñán, Peter Dayan, Geoffrey J. Goodhill: Differential Priors for Elastic Nets. IDEAL 2005: 335-342
63		Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan: A Bayesian Framework for Tilt Perception and Confidence. NIPS 2005
62		Yael Niv, Nathaniel D. Daw, Peter Dayan: How fast to work: Response vigor, motivation and tonic dopamine. NIPS 2005
61		Peter Dayan, Angela J. Yu: Norepinephrine and Neural Interrupts. NIPS 2005
	2004
60		Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan: Assignment of Multiplicative Mixtures in Natural Images. NIPS 2004
59		Angela J. Yu, Peter Dayan: Inference, Attention, and Decision in a Bayesian Neural Architecture. NIPS 2004
58		Richard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan: Probabilistic Computation in Spiking Populations. NIPS 2004
57		Máté Lengyel, Peter Dayan: Rate- and Phase-coded Autoassociative Memory. NIPS 2004
	2003
56		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
55		Peter Dayan, Michael Häusser: Plasticity Kernels and Temporal Statistics. NIPS 2003
54		Maneesh Sahani, Peter Dayan: Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity. Neural Computation 15(10): 2255-2279 (2003)
	2002
53		Angela J. Yu, Peter Dayan: Expected and Unexpected Uncertainty: ACh and NE in the Neocortex. NIPS 2002: 157-164
52		Szabolcs Káli, Peter Dayan: Replay, Repair and Consolidation. NIPS 2002: 19-26
51		Peter Dayan, Maneesh Sahani, Gregoire Deback: Adaptation and Unsupervised Learning. NIPS 2002: 221-228
50		David J. Foster, Peter Dayan: Structure in the Space of Value Functions. Machine Learning 49(2-3): 325-346 (2002)
49		Kenji Doya, Peter Dayan, Michael E. Hasselmo: Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks 15(4-6): 475-477 (2002)
48		Sham Kakade, Peter Dayan: Dopamine: generalization and bonuses. Neural Networks 15(4-6): 549-559 (2002)
47		Nathaniel D. Daw, Sham Kakade, Peter Dayan: Opponent interactions between serotonin and dopamine. Neural Networks 15(4-6): 603-616 (2002)
46		Angela J. Yu, Peter Dayan: Acetylcholine in cortical inference. Neural Networks 15(4-6): 719-730 (2002)
	2001
45		Peter Dayan: Motivated Reinforcement Learning. NIPS 2001: 11-18
44		Peter Dayan, Angela J. Yu: ACh, Uncertainty, and Cortical Inference. NIPS 2001: 189-196
43		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
42		Sham Kakade, Peter Dayan: Dopamine Bonuses. NIPS 2000: 131-137
41		Peter Dayan: Competition and Arbors in Ocular Dominance. NIPS 2000: 203-209
40		Szabolcs Káli, Peter Dayan: Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex. NIPS 2000: 24-30
39		Zhaoping Li, Peter Dayan: Position Variance, Recurrence and Perceptual Learning. NIPS 2000: 31-37
38		Peter Dayan, Sham Kakade: Explaining Away in Weight Space. NIPS 2000: 451-457
	1999
37		Sham Kakade, Peter Dayan: Acquisition in Autoshaping. NIPS 1999: 24-30
36		L. F. Abbott, Peter Dayan: The Effect of Correlated Variability on the Accuracy of a Population Code. Neural Computation 11(1): 91-101 (1999)
35		Peter Dayan: Recurrent Sampling Models for the Helmholtz Machine. Neural Computation 11(3): 653-677 (1999)
	1998
34		Richard S. Zemel, Peter Dayan: Distributional Population Codes and Multiple Motion Models. NIPS 1998: 174-182
33		Zhaoping Li, Peter Dayan: Computational Differences between Asymmetrical and Symmetrical Networks. NIPS 1998: 274-280
32		Friedrich T. Sommer, Peter Dayan: Bayesian retrieval in associative memories with storage errors. IEEE Transactions on Neural Networks 9(4): 705-713 (1998)
31		Satinder P. Singh, Peter Dayan: Analytical Mean Squared Error Curves for Temporal Difference Learning. Machine Learning 32(1): 5-40 (1998)
30		Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. Neural Computation 10(2): 403-430 (1998)
29		Peter Dayan: A Hierarchical Model of Binocular Rivalry. Neural Computation 10(5): 1119-1135 (1998)
	1997
28		Richard S. Zemel, Peter Dayan: Combining Probabilistic Population Codes. IJCAI 1997: 1114-1119
27		David J. Foster, Richard G. M. Morris, Peter Dayan: Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning. NIPS 1997
26		Peter Dayan, Theresa Long: Statistical Models of Conditioning. NIPS 1997
25		Peter Dayan, Geoffrey E. Hinton: Using Expectation-Maximization for Reinforcement Learning. Neural Computation 9(2): 271-278 (1997)
24		Radford M. Neal, Peter Dayan: Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural Computation 9(8): 1781-1803 (1997)
	1996
23		Satinder P. Singh, Peter Dayan: Analytical Mean Squared Error Curves in Temporal Difference Learning. NIPS 1996: 1054-1060
22		Maximilian Riesenhuber, Peter Dayan: Neural Models for Part-Whole Hierarchies. NIPS 1996: 17-26
21		Peter Dayan: A Hierarchical Model of Visual Rivalry. NIPS 1996: 48-54
20		Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. NIPS 1996: 676-684
19		Peter Dayan, Terrence J. Sejnowski: Exploration Bonuses and Dual Control. Machine Learning 25(1): 5-22 (1996)
18		Peter Dayan, Geoffrey E. Hinton: Varieties of Helmholtz Machine. Neural Networks 9(8): 1385-1403 (1996)
	1995
17		Terrence J. Sejnowski, Peter Dayan, P. Read Montague: Predictive Hebbian Learning. COLT 1995: 15-18
16		Peter Dayan, Satinder P. Singh: Improving Policies without Measuring Merits. NIPS 1995: 1059-1065
15		Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan: Does the Wake-sleep Algorithm Produce Good Density Estimators? NIPS 1995: 661-667
14		Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel: The Helmholtz machine. Neural Computation 7(5): 889-904 (1995)
	1994
13		Geoffrey E. Hinton, Michael Revow, Peter Dayan: Recognizing Handwritten Digits Using Mixtures of Linear Models. NIPS 1994: 1015-1022
12		Peter Dayan, Terrence J. Sejnowski: TD(lambda) Converges with Probability 1. Machine Learning 14(1): 295-301 (1994)
	1993
11		P. Read Montague, Peter Dayan, Terrence J. Sejnowski: Foraging in an Uncertain Environment Using Predictive Hebbian Learning. NIPS 1993: 598-605
10		Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski: Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993: 817-824
9		Peter Dayan, Terrence J. Sejnowski: The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural Computation 5(2): 205-209 (1993)
8		Peter Dayan: Arbitrary Elastic Topologies and Ocular Dominance. Neural Computation 5(3): 392-401 (1993)
7		Peter Dayan: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural Computation 5(4): 613-624 (1993)
	1992
6		Peter Dayan, Geoffrey E. Hinton: Feudal Reinforcement Learning. NIPS 1992: 271-278
5		P. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski: Using Aperiodic Reinforcement for Directed Self-Organization During Development. NIPS 1992: 969-976
4		Christopher J. C. H. Watkins, Peter Dayan: Technical Note Q-Learning. Machine Learning 8: 279-292 (1992)
3		Peter Dayan: The Convergence of TD(lambda) for General lambda. Machine Learning 8: 341-362 (1992)
	1991
2		Peter Dayan, Geoffrey J. Goodhill: Perturbing Hebbian Rules. NIPS 1991: 19-26
	1990
1		Peter Dayan: Navigating Through Temporal Difference. NIPS 1990: 464-470

Coauthor Index

1	L. F. Abbott	[36]
2	Miguel Á. Carreira-Perpiñán	[64]
3	Nathaniel D. Daw	[47] [62] [66]
4	Gregoire Deback	[51]
5	Kenji Doya	[49]
6	David J. Foster	[27] [50]
7	Brendan J. Frey	[15]
8	Geoffrey J. Goodhill	[2] [64]
9	Aaron J. Gruber	[56] [69]
10	Boris S. Gutkin	[56] [69]
11	Michael E. Hasselmo	[49]
12	Michael Häusser	[55]
13	Geoffrey E. Hinton	[6] [13] [14] [15] [18] [25]
14	Quentin J. M. Huys	[58] [71] [73] [74]
15	Sham M. Kakade (Sham Kakade)	[37] [38] [42] [47] [48]
16	Szabolcs Káli	[40] [43] [52]
17	Brooks King-Casas	[76]
18	Máté Lengyel	[57] [70] [72]
19	Zhaoping Li	[33] [39] [65]
20	Theresa Long	[26]
21	P. Read Montague	[5] [11] [17] [76]
22	Richard G. M. Morris	[27]
23	Rama Natarajan	[58] [71] [73]
24	Radford M. Neal	[14] [24]
25	Yael Niv	[62] [66]
26	Steven J. Nowlan	[5]
27	Alexandre Pouget	[20] [30]
28	Debajyoti Ray	[76]
29	Michael Revow	[13]
30	Maximilian Riesenhuber	[22]
31	Maneesh Sahani	[51] [54]
32	Nicol N. Schraudolph	[10]
33	Odelia Schwartz	[60] [63] [67]
34	Terrence J. Sejnowski	[5] [9] [10] [11] [12] [17] [19] [60] [63] [67]
35	Ben Seymour	[66]
36	Satinder P. Singh	[16] [23] [31]
37	Sara A. Solla	[56] [69]
38	Friedrich T. Sommer	[32]
39	Joshua T. Vogelstein	[74]
40	Christopher J. C. H. Watkins	[4]
41	Angela J. Yu	[44] [46] [53] [59] [61]
42	Richard S. Zemel	[14] [20] [28] [30] [34] [58] [71] [73]

Colors in the list of coauthors