Publications of P Dayan

Journal Article (271)

261.
Journal Article
Dayan, P.; Sejnowski, T.: TD(λ) converges with probability 1. Machine Learning 14 (3), pp. 295 - 301 (1994)
262.
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)
263.
Journal Article
Dayan, P.: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural computation 5 (4), pp. 613 - 624 (1993)
264.
Journal Article
Dayan, P.: Arbitrary Elastic Topologies and Ocular Dominance. Neural computation 5 (3), pp. 392 - 401 (1993)
265.
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)
266.
Journal Article
Dayan, P.: The Convergence of TD(λ) for General λ. Machine Learning 8 (3-4), pp. 341 - 362 (1992)
267.
Journal Article
Watkins, C.; Dayan, P.: Q-learning. Machine Learning 8 (3-4), pp. 279 - 292 (1992)
268.
Journal Article
Dayan, P.; Willshaw, D.: Optimising synaptic learning rules in linear associative memories. Biological Cybernetics 65 (4), pp. 253 - 265 (1991)
269.
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)
270.
Journal Article
Willshaw, D.; Dayan, P.: Optimal plasticity in matrix memories: What goes up must come down. Neural computation 2 (1), pp. 85 - 93 (1990)
271.
Journal Article
Robertson, M.; Ritchie, S.; Dayan, P.: Semiconductor waveguides: analysis of optical propagation in single rib structures and directional couplers. Proceedings of the Institution of Electrical Engineers Part J: Optoelectronics 132 (6), pp. 336 - 342 (1985)

Book (1)

272.
Book
Dayan, P.; Abbott, L.: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. MIT Press, Cambridge, MA, USA (2001), 460 pp.

Book Chapter (13)

273.
Book Chapter
Dayan, P.; Nakahara, H.: Models and Methods for Reinforcement Learning. In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Vol. 5: Methodology, 4. Ed., pp. 1 - 40 (Eds. Wixted, J.; Wagenmakers, E.-J.). Wiley, Hoboken, NJ, USA (2018)
274.
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)
275.
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)
276.
Book Chapter
Daw, N.; Courville, A.; Dayan, P.: Semi-rational models of conditioning: The case of trial order. In: The Probabilistic Mind: Prospects for Bayesian cognitive science$, 19, pp. 427 - 448 (Eds. Chater, N.; Oaksford, M.). Oxford University Press, Oxford, UK (2008)
277.
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)
278.
Book Chapter
Daw, N.; Niv, Y.; Dayan, P.: Actions, policies, values, and the basal ganglia. In: Recent Breakthroughs in Basal Ganglia Research, 8, pp. 91 - 106 (Ed. Bezard, E.). Nova Science Publishers, Hauppauge, NY, USA (2006)
279.
Book Chapter
Dayan, P.: Levels of Analysis in Neural Modeling. In: Encyclopedia of Cognitive Science, 2 Ed. (Ed. Nadel, L.). Wiley, Chichester, UK (2005)
280.
Book Chapter
Dayan, P.; Watkins, C.: Reinforcement Learning. In: Encyclopedia of Cognitive Science, Vol. 3 (Ed. Nadel, L.). Wiley, Chichester, UK (2005)
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