Publikationen von P Dayan

Abbott, L.; Dayan, P.: The Effect of Correlated Variability on the Accuracy of a Population Code. Neural computation 11 (1), S. 91 - 101 (1999)

Dayan, P.: A Hierarchical Model of Binocular Rivalry. Neural computation 10 (5), S. 1119 - 1135 (1998)

Singh, S.; Dayan, P.: Analytical Mean Squared Error Curves for Temporal Difference Learning. Machine Learning 32 (1), S. 5 - 40 (1998)

Sommer, F.; Dayan, P.: Bayesian retrieval in associative memories with storage errors. IEEE Transactions on Neural Networks 9 (4), S. 705 - 713 (1998)

Zemel, R.; Dayan, P.; Pouget, A.: Probabilistic Interpretation of Population Codes. Neural computation 10 (2), S. 403 - 430 (1998)

Neal , R.; Dayan, P.: Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural computation 9 (8), S. 1781 - 1803 (1997)

Frey, B.; Dayan, P.; Hinton, G.: A simple algorithm that discovers efficient perceptual codes. Computational and Psychophysical Mechanisms of Visual Coding, S. 296 - 315 (1997)

Schultz, W.; Dayan, P.; Montague, P.: A neural substrate of prediction and reward. Science 275 (5306), S. 1593 - 1599 (1997)

Dayan, P.; Hinton, G.: Using Expectation-Maximization for Reinforcement Learning. Neural computation 9 (2), S. 271 - 278 (1997)

Hinton, G.; Dayan, P.; Revow, M.: Modeling the manifolds of images of handwritten digits. IEEE Transactions on Neural Networks 8 (1), S. 65 - 74 (1997)

Dayan, P.; Hinton, G.: Varieties of Helmholtz Machine. Neural networks 9 (8), S. 1385 - 1403 (1996)

Dayan, P.; Sejnowski, T.: Exploration bonuses and dual control. Machine Learning 25 (1), S. 5 - 22 (1996)

Montague, P.; Dayan, P.; Sejnowski, T.: A framework for mesencephalic dopamine systems based on predictive Hebbian learning. The Journal of Neuroscience 16 (5), S. 1936 - 1947 (1996)

Montague, P.; Dayan, P.; Person, C.; Sejnowski , T.: Bee foraging in uncertain environments using predictive hebbian learning. Nature 377 (6551), S. 725 - 728 (1995)

Dayan, P.; Hinton, G.; Neal, R.; Zemel, R.: The Helmholtz Machine. Neural computation 7 (5), S. 889 - 904 (1995)

Dayan, P.; Zemel, R.: Competition and Multiple Cause Models. Neural computation 7 (3), S. 565 - 579 (1995)

Hinton, G.; Dayan, P.; Frey, B.; Neal, R.: The "wake-sleep" algorithm for unsupervised neural networks. Science 268 (5214), S. 1158 - 1161 (1995)

Dayan, P.: Computational Modelling. Current Opinion in Neurobiology 4 (2), S. 212 - 217 (1994)

Dayan, P.; Sejnowski, T.: TD(λ) converges with probability 1. Machine Learning 14 (3), S. 295 - 301 (1994)

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)