Publications of P Dayan

Dayan, P.: Matters temporal. Trends in Cognitive Sciences 6 (3), pp. 105 - 106 (2002)

Káli, S.; Dayan, P.: A familiarity-based learning procedure for the establishment of place fields in area CA3 of the rat hippocampus. Neurocomputing 38-40, pp. 691 - 695 (2001)

Dayan, P.; Kakade, S.; Montague, P.: Learning and selective attention. Nature Neuroscience 3 (Supplement), pp. 1218 - 1223 (2000)

Pouget, A.; Dayan, P.; Zemel, R.: Information processing with population codes. Nature Reviews Neuroscience 1 (2), pp. 125 - 132 (2000)

Káli, S.; Dayan, P.: The involvement of recurrent connections in area CA3 in establishing the properties of place fields: A model. The Journal of Neuroscience 20 (19), pp. 7463 - 7477 (2000)

Foster, D.; Morris, R.; Dayan, P.: A model of hippocampally dependent navigation, using the temporal difference learning rule. Hippocampus 10 (1), pp. 1 - 16 (2000)

Dayan, P.: Recurrent sampling models for the Helmholtz machine. Neural computation 11 (3), pp. 653 - 677 (1999)

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

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

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

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

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

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

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

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)

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

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

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)

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

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