Publikationen von P Dayan

Zeitschriftenartikel (259)

241.
Zeitschriftenartikel
Dayan, P.; Hinton, G.: Varieties of Helmholtz Machine. Neural networks 9 (8), S. 1385 - 1403 (1996)
242.
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Dayan, P.; Sejnowski, T.: Exploration bonuses and dual control. Machine Learning 25 (1), S. 5 - 22 (1996)
243.
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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)
244.
Zeitschriftenartikel
Montague, P.; Dayan, P.; Person, C.; Sejnowski , T.: Bee foraging in uncertain environments using predictive hebbian learning. Nature 377 (6551), S. 725 - 728 (1995)
245.
Zeitschriftenartikel
Dayan, P.; Hinton, G.; Neal, R.; Zemel, R.: The Helmholtz Machine. Neural computation 7 (5), S. 889 - 904 (1995)
246.
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Dayan, P.; Zemel, R.: Competition and Multiple Cause Models. Neural computation 7 (3), S. 565 - 579 (1995)
247.
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Hinton, G.; Dayan, P.; Frey, B.; Neal, R.: The "wake-sleep" algorithm for unsupervised neural networks. Science 268 (5214), S. 1158 - 1161 (1995)
248.
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Dayan, P.: Computational Modelling. Current Opinion in Neurobiology 4 (2), S. 212 - 217 (1994)
249.
Zeitschriftenartikel
Dayan, P.; Sejnowski, T.: TD(λ) converges with probability 1. Machine Learning 14 (3), S. 295 - 301 (1994)
250.
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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)
251.
Zeitschriftenartikel
Dayan, P.: Improving Generalization for Temporal Difference Learning: The Successor Representation. Neural computation 5 (4), S. 613 - 624 (1993)
252.
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Dayan, P.: Arbitrary Elastic Topologies and Ocular Dominance. Neural computation 5 (3), S. 392 - 401 (1993)
253.
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Dayan, P.; Sejnowski, T.: The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural computation 5 (2), S. 205 - 209 (1993)
254.
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Dayan, P.: The Convergence of TD(λ) for General λ. Machine Learning 8 (3-4), S. 341 - 362 (1992)
255.
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Watkins, C.; Dayan, P.: Q-learning. Machine Learning 8 (3-4), S. 279 - 292 (1992)
256.
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Dayan, P.; Willshaw, D.: Optimising synaptic learning rules in linear associative memories. Biological Cybernetics 65 (4), S. 253 - 265 (1991)
257.
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Willshaw, D.; Dayan, P.: Optimal plasticity in matrix memories: What goes up must come down. Neural computation 2 (1), S. 85 - 93 (1990)
258.
Zeitschriftenartikel
Willshaw, D.; Dayan, P.: Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. Neural computation 2 (1), S. 85 - 93 (1990)
259.
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Robertson, M.; Ritchie, S.; Dayan, P.: Semiconductor waveguides: analysis of optical propagation in single rib structures and directional couplers. Proceedings of the Institution of Electrical Engineers Part J: Optoelectronics 132 (6), S. 336 - 342 (1985)

Buch (1)

260.
Buch
Dayan, P.; Abbott, L.: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. MIT Press, Cambridge, MA, USA (2001), 460 S.
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