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Peter Dayan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Christopher J. C. H. Watkins, Peter Dayan
    Technical Note Q-Learning. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1992, v:8, n:, pp:279-292 [Journal]
  2. Terrence J. Sejnowski, Peter Dayan, P. Read Montague
    Predictive Hebbian Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:15-18 [Conf]
  3. Miguel Á. Carreira-Perpiñán, Peter Dayan, Geoffrey J. Goodhill
    Differential Priors for Elastic Nets. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:335-342 [Conf]
  4. Richard S. Zemel, Peter Dayan
    Combining Probabilistic Population Codes. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1997, pp:1114-1119 [Conf]
  5. Peter Dayan
    Competition and Arbors in Ocular Dominance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:203-209 [Conf]
  6. Peter Dayan
    Motivated Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:11-18 [Conf]
  7. Peter Dayan
    Navigating Through Temporal Difference. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:464-470 [Conf]
  8. Peter Dayan
    A Hierarchical Model of Visual Rivalry. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:48-54 [Conf]
  9. Peter Dayan, Geoffrey J. Goodhill
    Perturbing Hebbian Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:19-26 [Conf]
  10. Peter Dayan, Michael Häusser
    Plasticity Kernels and Temporal Statistics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  11. Peter Dayan, Geoffrey E. Hinton
    Feudal Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:271-278 [Conf]
  12. Peter Dayan, Sham Kakade
    Explaining Away in Weight Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:451-457 [Conf]
  13. Peter Dayan, Theresa Long
    Statistical Models of Conditioning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  14. Peter Dayan, Satinder P. Singh
    Improving Policies without Measuring Merits. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:1059-1065 [Conf]
  15. Peter Dayan, Maneesh Sahani, Gregoire Deback
    Adaptation and Unsupervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:221-228 [Conf]
  16. Peter Dayan, Angela J. Yu
    ACh, Uncertainty, and Cortical Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:189-196 [Conf]
  17. Peter Dayan, Angela J. Yu
    Norepinephrine and Neural Interrupts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  18. David J. Foster, Richard G. M. Morris, Peter Dayan
    Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  19. Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan
    Does the Wake-sleep Algorithm Produce Good Density Estimators? [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:661-667 [Conf]
  20. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  21. Geoffrey E. Hinton, Michael Revow, Peter Dayan
    Recognizing Handwritten Digits Using Mixtures of Linear Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1015-1022 [Conf]
  22. Szabolcs Káli, Peter Dayan
    Replay, Repair and Consolidation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:19-26 [Conf]
  23. Sham Kakade, Peter Dayan
    Dopamine Bonuses. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:131-137 [Conf]
  24. Sham Kakade, Peter Dayan
    Acquisition in Autoshaping. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:24-30 [Conf]
  25. Szabolcs Káli, Peter Dayan
    Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:24-30 [Conf]
  26. Máté Lengyel, Peter Dayan
    Rate- and Phase-coded Autoassociative Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  27. Zhaoping Li, Peter Dayan
    Position Variance, Recurrence and Perceptual Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:31-37 [Conf]
  28. Zhaoping Li, Peter Dayan
    Computational Differences between Asymmetrical and Symmetrical Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:274-280 [Conf]
  29. P. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski
    Using Aperiodic Reinforcement for Directed Self-Organization During Development. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:969-976 [Conf]
  30. P. Read Montague, Peter Dayan, Terrence J. Sejnowski
    Foraging in an Uncertain Environment Using Predictive Hebbian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:598-605 [Conf]
  31. Yael Niv, Nathaniel D. Daw, Peter Dayan
    How fast to work: Response vigor, motivation and tonic dopamine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  32. Maximilian Riesenhuber, Peter Dayan
    Neural Models for Part-Whole Hierarchies. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:17-26 [Conf]
  33. Angela J. Yu, Peter Dayan
    Expected and Unexpected Uncertainty: ACh and NE in the Neocortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:157-164 [Conf]
  34. Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski
    Temporal Difference Learning of Position Evaluation in the Game of Go. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:817-824 [Conf]
  35. Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
    Assignment of Multiplicative Mixtures in Natural Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  36. Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
    A Bayesian Framework for Tilt Perception and Confidence. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  37. Angela J. Yu, Peter Dayan
    Inference, Attention, and Decision in a Bayesian Neural Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  38. Satinder P. Singh, Peter Dayan
    Analytical Mean Squared Error Curves in Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1054-1060 [Conf]
  39. Richard S. Zemel, Peter Dayan
    Distributional Population Codes and Multiple Motion Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:174-182 [Conf]
  40. Richard S. Zemel, Peter Dayan, Alexandre Pouget
    Probabilistic Interpretation of Population Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:676-684 [Conf]
  41. Richard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan
    Probabilistic Computation in Spiking Populations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  42. Szabolcs Káli, Peter Dayan
    A familiarity-based learning procedure for the establishment of place fields in area CA3 of the rat hippocampus. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:691-695 [Journal]
  43. Peter Dayan
    The Convergence of TD(lambda) for General lambda. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:8, n:, pp:341-362 [Journal]
  44. Peter Dayan, Terrence J. Sejnowski
    TD(lambda) Converges with Probability 1. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:295-301 [Journal]
  45. David J. Foster, Peter Dayan
    Structure in the Space of Value Functions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:49, n:2-3, pp:325-346 [Journal]
  46. Peter Dayan, Terrence J. Sejnowski
    Exploration Bonuses and Dual Control. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:25, n:1, pp:5-22 [Journal]
  47. Satinder P. Singh, Peter Dayan
    Analytical Mean Squared Error Curves for Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:32, n:1, pp:5-40 [Journal]
  48. L. F. Abbott, Peter Dayan
    The Effect of Correlated Variability on the Accuracy of a Population Code. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:1, pp:91-101 [Journal]
  49. Peter Dayan
    Images, Frames, and Connectionist Hierarchies. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:10, pp:2293-2319 [Journal]
  50. Peter Dayan
    A Hierarchical Model of Binocular Rivalry. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:5, pp:1119-1135 [Journal]
  51. Peter Dayan
    Recurrent Sampling Models for the Helmholtz Machine. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:3, pp:653-677 [Journal]
  52. Peter Dayan, Geoffrey E. Hinton
    Using Expectation-Maximization for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:2, pp:271-278 [Journal]
  53. Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel
    The Helmholtz machine. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:5, pp:889-904 [Journal]
  54. Radford M. Neal, Peter Dayan
    Factor Analysis Using Delta-Rule Wake-Sleep Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:8, pp:1781-1803 [Journal]
  55. Maneesh Sahani, Peter Dayan
    Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:10, pp:2255-2279 [Journal]
  56. Richard S. Zemel, Peter Dayan, Alexandre Pouget
    Probabilistic Interpretation of Population Codes. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:2, pp:403-430 [Journal]
  57. Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
    Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:11, pp:2680-2718 [Journal]
  58. Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan
    Fast Population Coding. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:2, pp:404-441 [Journal]
  59. Nathaniel D. Daw, Sham Kakade, Peter Dayan
    Opponent interactions between serotonin and dopamine. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:4-6, pp:603-616 [Journal]
  60. Peter Dayan, Geoffrey E. Hinton
    Varieties of Helmholtz Machine. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:8, pp:1385-1403 [Journal]
  61. Kenji Doya, Peter Dayan, Michael E. Hasselmo
    Introduction for 2002 Special Issue: Computational Models of Neuromodulation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:4-6, pp:475-477 [Journal]
  62. Sham Kakade, Peter Dayan
    Dopamine: generalization and bonuses. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:4-6, pp:549-559 [Journal]
  63. Angela J. Yu, Peter Dayan
    Acetylcholine in cortical inference. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:4-6, pp:719-730 [Journal]
  64. Peter Dayan, Yael Niv, Ben Seymour, Nathaniel D. Daw
    The misbehavior of value and the discipline of the will. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:8, pp:1153-1160 [Journal]
  65. Zhaoping Li, Peter Dayan
    Pre-attentive visual selection. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:9, pp:1437-1439 [Journal]
  66. Máté Lengyel, Peter Dayan
    Uncertainty, phase and oscillatory hippocampal recall. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:833-840 [Conf]

  67. Hippocampal Contributions to Control: The Third Way. [Citation Graph (, )][DBLP]


  68. Bayesian Model of Behaviour in Economic Games. [Citation Graph (, )][DBLP]


  69. Load and Attentional Bayes. [Citation Graph (, )][DBLP]


  70. Psychiatry: Insights into depression through normative decision-making models. [Citation Graph (, )][DBLP]


  71. Optimising synaptic learning rules in linear associative memories. [Citation Graph (, )][DBLP]


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