Search results

Journal Article (233)

221.
Journal Article
Dayan, P.; Hinton, G.; Neal, R.; Zemel, R.: The Helmholtz Machine. Neural computation 7 (5), pp. 889 - 904 (1995)
222.
Journal Article
Dayan, P.; Zemel, R.: Competition and Multiple Cause Models. Neural computation 7 (3), pp. 565 - 579 (1995)
223.
Journal Article
Hinton, G.; Dayan, P.; Frey, B.; Neal, R.: The "wake-sleep" algorithm for unsupervised neural networks. Science 268 (5214), pp. 1158 - 1161 (1995)
224.
Journal Article
Dayan, P.: Computational Modelling. Current Opinion in Neurobiology 4 (2), pp. 212 - 217 (1994)
225.
Journal Article
Dayan, P.; Sejnowski, T.: TD(λ) converges with probability 1. Machine Learning 14 (3), pp. 295 - 301 (1994)
226.
Journal Article
Berns, G.; Dayan, P.; Sejnowski, T.: A correlational model for the development of disparity selectivity in visual cortex that depends on prenatal and postnatal phases. Proceedings of the National Academy of Sciences of the United States of America 90 (17), pp. 8277 - 8281 (1993)
227.
Journal Article
Dayan, P.: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural computation 5 (4), pp. 613 - 624 (1993)
228.
Journal Article
Dayan, P.: Arbitrary Elastic Topologies and Ocular Dominance. Neural computation 5 (3), pp. 392 - 401 (1993)
229.
Journal Article
Dayan, P.; Sejnowski, T.: The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural computation 5 (2), pp. 205 - 209 (1993)
230.
Journal Article
Dayan, P.: The Convergence of TD(λ) for General λ. Machine Learning 8 (3-4), pp. 341 - 362 (1992)
231.
Journal Article
Watkins, C.; Dayan, P.: Q-learning. Machine Learning 8 (3-4), pp. 279 - 292 (1992)
232.
Journal Article
Dayan, P.; Willshaw, D.: Optimising synaptic learning rules in linear associative memories. Biological Cybernetics 65 (4), pp. 253 - 265 (1991)
233.
Journal Article
Willshaw, D.; Dayan, P.: Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. Neural computation 2 (1), pp. 85 - 93 (1990)

Book (1)

234.
Book
Dayan, P.; Abbott, L.: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. MIT Press, Cambridge, MA, USA (2001), 460 pp.

Book Chapter (3)

235.
Book Chapter
Dayan, P.: Exploration from Generalization Mediated by Multiple Controllers. In: Intrinsically Motivated Learning in Natural and Artificial Systems, pp. 73 - 91 (Eds. Baldassarre, G.; Mirolli, M.). Springer, Berlin, Germany (2013)
236.
Book Chapter
Dayan, P.: Models of Value and Choice. In: Neuroscience of Preference and Choice: Cognitive and Neural Mechanisms, 2, pp. 33 - 52 (Eds. Dolan, R.; Sharot, T.). Elsevier/Academic Press, London, UK (2012)
237.
Book Chapter
Platt, M.; Dayan, P.; Dehaene, S.; McCabe, H.; Menzel, R.; Phelps, E.; Plassmann, H.; Ratcliff, R.; Shadlen, M.; Singer, W.: Neuronal Correlates of Decision Making. In: Better than conscious?: decision making, the human mind, and implications for institutions, 6 (Eds. Engel, C.; Singer, W.). MIT Press, Cambridge, MA, USA (2008)

Proceedings (1)

238.
Proceedings
Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Reports, 1). Dagstuhl Seminar 11131, Dagstuhl, Germany, March 27, 2011 - April 01, 2011. (2011)

Conference Paper (68)

239.
Conference Paper
Sezener, E.; Dayan, P.: Static and Dynamic Values of Computation in MCTS. 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020), August 03, 2020 - August 06, 2020. Proceedings of Machine Learning Research (PMLR) 124, 26, pp. 31 - 40 (2020)
240.
Conference Paper
Browning, M.; Carter, C.; Chatham, C.; Den Ouden, H.; Gillan, C.; Baker, J.; Chekroud, A.; Cools, R.; Dayan, P.; Gold, J. et al.; Goldstein, R.; Hartley, C.; Kepecs, A.; Lawson, R.; Mourao-Miranda, J.; Phillips, M.; Pizzagalli, D.; Powers, A.; Rindskopf, D.; Roiser, J.; Schmack, K.; Schiller, D.; Sebold, M.; Stephan, K.; Frank, M.; Huys, Q.; Paulus, M.: Realizing the Clinical Potential of Computational Psychiatry: Report from the Banbury Center Meeting, February 2019. Banbury Center Meeting 2019, Huntington, NY, USA, 2019-02. Biological Psychiatry 88 (2), pp. e5 - e10 (2020)
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