Publikationen von P Dayan

Li, Z.; Dayan, P.: Computational differences between asymmetrical and symmetrical networks. Network: Computation in Neural Systems 10 (1), S. 59 - 77 (1999)

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)