Publications of P Dayan

Journal Article (259)

241.
Journal Article
Dayan, P.; Hinton, G.: Varieties of Helmholtz Machine. Neural networks 9 (8), pp. 1385 - 1403 (1996)
242.
Journal Article
Dayan, P.; Sejnowski, T.: Exploration bonuses and dual control. Machine Learning 25 (1), pp. 5 - 22 (1996)
243.
Journal Article
Montague, P.; Dayan, P.; Sejnowski, T.: A framework for mesencephalic dopamine systems based on predictive Hebbian learning. The Journal of Neuroscience 16 (5), pp. 1936 - 1947 (1996)
244.
Journal Article
Montague, P.; Dayan, P.; Person, C.; Sejnowski , T.: Bee foraging in uncertain environments using predictive hebbian learning. Nature 377 (6551), pp. 725 - 728 (1995)
245.
Journal Article
Dayan, P.; Hinton, G.; Neal, R.; Zemel, R.: The Helmholtz Machine. Neural computation 7 (5), pp. 889 - 904 (1995)
246.
Journal Article
Dayan, P.; Zemel, R.: Competition and Multiple Cause Models. Neural computation 7 (3), pp. 565 - 579 (1995)
247.
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)
248.
Journal Article
Dayan, P.: Computational Modelling. Current Opinion in Neurobiology 4 (2), pp. 212 - 217 (1994)
249.
Journal Article
Dayan, P.; Sejnowski, T.: TD(λ) converges with probability 1. Machine Learning 14 (3), pp. 295 - 301 (1994)
250.
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)
251.
Journal Article
Dayan, P.: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural computation 5 (4), pp. 613 - 624 (1993)
252.
Journal Article
Dayan, P.: Arbitrary Elastic Topologies and Ocular Dominance. Neural computation 5 (3), pp. 392 - 401 (1993)
253.
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)
254.
Journal Article
Dayan, P.: The Convergence of TD(λ) for General λ. Machine Learning 8 (3-4), pp. 341 - 362 (1992)
255.
Journal Article
Watkins, C.; Dayan, P.: Q-learning. Machine Learning 8 (3-4), pp. 279 - 292 (1992)
256.
Journal Article
Dayan, P.; Willshaw, D.: Optimising synaptic learning rules in linear associative memories. Biological Cybernetics 65 (4), pp. 253 - 265 (1991)
257.
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)
258.
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)
259.
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)

260.
Book
Dayan, P.; Abbott, L.: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. MIT Press, Cambridge, MA, USA (2001), 460 pp.
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