Publications of P Dayan

Journal Article (265)

241.
Journal Article
Zemel, R.; Dayan, P.; Pouget, A.: Probabilistic Interpretation of Population Codes. Neural computation 10 (2), pp. 403 - 430 (1998)
242.
Journal Article
Neal , R.; Dayan, P.: Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural computation 9 (8), pp. 1781 - 1803 (1997)
243.
Journal Article
Frey, B.; Dayan, P.; Hinton, G.: A simple algorithm that discovers efficient perceptual codes. Computational and Psychophysical Mechanisms of Visual Coding, pp. 296 - 315 (1997)
244.
Journal Article
Schultz, W.; Dayan, P.; Montague, P.: A neural substrate of prediction and reward. Science 275 (5306), pp. 1593 - 1599 (1997)
245.
Journal Article
Dayan, P.; Hinton, G.: Using Expectation-Maximization for Reinforcement Learning. Neural computation 9 (2), pp. 271 - 278 (1997)
246.
Journal Article
Hinton, G.; Dayan, P.; Revow, M.: Modeling the manifolds of images of handwritten digits. IEEE Transactions on Neural Networks 8 (1), pp. 65 - 74 (1997)
247.
Journal Article
Dayan, P.; Hinton, G.: Varieties of Helmholtz Machine. Neural networks 9 (8), pp. 1385 - 1403 (1996)
248.
Journal Article
Dayan, P.; Sejnowski, T.: Exploration bonuses and dual control. Machine Learning 25 (1), pp. 5 - 22 (1996)
249.
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)
250.
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)
251.
Journal Article
Dayan, P.; Hinton, G.; Neal, R.; Zemel, R.: The Helmholtz Machine. Neural computation 7 (5), pp. 889 - 904 (1995)
252.
Journal Article
Dayan, P.; Zemel, R.: Competition and Multiple Cause Models. Neural computation 7 (3), pp. 565 - 579 (1995)
253.
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)
254.
Journal Article
Dayan, P.: Computational Modelling. Current Opinion in Neurobiology 4 (2), pp. 212 - 217 (1994)
255.
Journal Article
Dayan, P.; Sejnowski, T.: TD(λ) converges with probability 1. Machine Learning 14 (3), pp. 295 - 301 (1994)
256.
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)
257.
Journal Article
Dayan, P.: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural computation 5 (4), pp. 613 - 624 (1993)
258.
Journal Article
Dayan, P.: Arbitrary Elastic Topologies and Ocular Dominance. Neural computation 5 (3), pp. 392 - 401 (1993)
259.
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)
260.
Journal Article
Dayan, P.: The Convergence of TD(λ) for General λ. Machine Learning 8 (3-4), pp. 341 - 362 (1992)
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