Publications of P Dayan
All genres
Journal Article (294)
261.
Journal Article
1 (2), pp. 125 - 132 (2000)
Information processing with population codes. Nature Reviews Neuroscience 262.
Journal Article
20 (19), pp. 7463 - 7477 (2000)
The involvement of recurrent connections in area CA3 in establishing the properties of place fields: A model. The Journal of Neuroscience 263.
Journal Article
10 (1), pp. 1 - 16 (2000)
A model of hippocampally dependent navigation, using the temporal difference learning rule. Hippocampus 264.
Journal Article
11 (3), pp. 653 - 677 (1999)
Recurrent sampling models for the Helmholtz machine. Neural computation 265.
Journal Article
10 (1), pp. 59 - 77 (1999)
Computational differences between asymmetrical and symmetrical networks. Network: Computation in Neural Systems 266.
Journal Article
11 (1), pp. 91 - 101 (1999)
The Effect of Correlated Variability on the Accuracy of a Population Code. Neural computation 267.
Journal Article
10 (5), pp. 1119 - 1135 (1998)
A Hierarchical Model of Binocular Rivalry. Neural computation 268.
Journal Article
32 (1), pp. 5 - 40 (1998)
Analytical Mean Squared Error Curves for Temporal Difference Learning. Machine Learning 269.
Journal Article
9 (4), pp. 705 - 713 (1998)
Bayesian retrieval in associative memories with storage errors. IEEE Transactions on Neural Networks 270.
Journal Article
10 (2), pp. 403 - 430 (1998)
Probabilistic Interpretation of Population Codes. Neural computation 271.
Journal Article
9 (8), pp. 1781 - 1803 (1997)
Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural computation 272.
Journal Article
A simple algorithm that discovers efficient perceptual codes. Computational and Psychophysical Mechanisms of Visual Coding, pp. 296 - 315 (1997)
273.
Journal Article
275 (5306), pp. 1593 - 1599 (1997)
A neural substrate of prediction and reward. Science 274.
Journal Article
9 (2), pp. 271 - 278 (1997)
Using Expectation-Maximization for Reinforcement Learning. Neural computation 275.
Journal Article
8 (1), pp. 65 - 74 (1997)
Modeling the manifolds of images of handwritten digits. IEEE Transactions on Neural Networks 276.
Journal Article
9 (8), pp. 1385 - 1403 (1996)
Varieties of Helmholtz Machine. Neural networks 277.
Journal Article
25 (1), pp. 5 - 22 (1996)
Exploration bonuses and dual control. Machine Learning 278.
Journal Article
16 (5), pp. 1936 - 1947 (1996)
A framework for mesencephalic dopamine systems based on predictive Hebbian learning. The Journal of Neuroscience 279.
Journal Article
377 (6551), pp. 725 - 728 (1995)
Bee foraging in uncertain environments using predictive hebbian learning. Nature 280.
Journal Article
7 (5), pp. 889 - 904 (1995)
The Helmholtz Machine. Neural computation