Publikationen von P Dayan

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), S. 8277 - 8281 (1993)

Dayan, P.: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural computation 5 (4), S. 613 - 624 (1993)

Dayan, P.: Arbitrary Elastic Topologies and Ocular Dominance. Neural computation 5 (3), S. 392 - 401 (1993)

Dayan, P.; Sejnowski, T.: The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural computation 5 (2), S. 205 - 209 (1993)

Dayan, P.: The Convergence of TD(λ) for General λ. Machine Learning 8 (3-4), S. 341 - 362 (1992)

Watkins, C.; Dayan, P.: Q-learning. Machine Learning 8 (3-4), S. 279 - 292 (1992)

Dayan, P.; Willshaw, D.: Optimising synaptic learning rules in linear associative memories. Biological Cybernetics 65 (4), S. 253 - 265 (1991)

Willshaw, D.; Dayan, P.: Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. Neural computation 2 (1), S. 85 - 93 (1990)

Willshaw, D.; Dayan, P.: Optimal plasticity in matrix memories: What goes up must come down. Neural computation 2 (1), S. 85 - 93 (1990)

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), S. 336 - 342 (1985)

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

Brielmann, A.; Dayan, P.: Aesthetic boredom. In: The Routledge International Handbook of Boredom (Hg. Bieleke, M.; Wolff, W.; Martarelli, C.). Routledge, London, UK (2024)

Dayan, P.; Roiser, J.; Viding, E.: The first steps on long marches: The costs of active observation. In: Psychiatry Reborn: Biopsychosocial psychiatry in modern medicine, 14, S. 213 - 228 (Hg. Davies, W.; Savulescu, J.; Roache, R.; Loebel, J.). Oxford University Press, Oxford, UK (2020)

Dayan, P.; Nakahara, H.: Models and Methods for Reinforcement Learning. In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Bd. 5: Methodology, 4. Aufl., S. 507 - 546 (Hg. Wixted, J.; Wagenmakers, E.-J.). Wiley, Hoboken, NJ, USA (2018)

Dayan, P.: Exploration from Generalization Mediated by Multiple Controllers. In: Intrinsically Motivated Learning in Natural and Artificial Systems, S. 73 - 91 (Hg. Baldassarre, G.; Mirolli, M.). Springer, Berlin, Germany (2013)

Dayan, P.: Models of Value and Choice. In: Neuroscience of Preference and Choice: Cognitive and Neural Mechanisms, 2, S. 33 - 52 (Hg. Dolan, R.; Sharot, T.). Elsevier/Academic Press, London, UK (2012)

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, S. 427 - 448 (Hg. Chater, N.; Oaksford, M.). Oxford University Press, Oxford, UK (2008)

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 (Hg. Engel, C.; Singer, W.). MIT Press, Cambridge, MA, USA (2008)

Daw, N.; Niv, Y.; Dayan, P.: Actions, policies, values, and the basal ganglia. In: Recent Breakthroughs in Basal Ganglia Research, 8, S. 91 - 106 (Hg. Bezard, E.). Nova Science Publishers, Hauppauge, NY, USA (2006)

Dayan, P.: Levels of Analysis in Neural Modeling. In: Encyclopedia of Cognitive Science, 2 Aufl. (Hg. Nadel, L.). Wiley, Chichester, UK (2005)