Publikationen von P Dayan

Zeitschriftenartikel (272)

241.
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Foster, D.; Morris, R.; Dayan, P.: A model of hippocampally dependent navigation, using the temporal difference learning rule. Hippocampus 10 (1), S. 1 - 16 (2000)
242.
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Dayan, P.: Recurrent sampling models for the Helmholtz machine. Neural computation 11 (3), S. 653 - 677 (1999)
243.
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Li, Z.; Dayan, P.: Computational differences between asymmetrical and symmetrical networks. Network: Computation in Neural Systems 10 (1), S. 59 - 77 (1999)
244.
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Abbott, L.; Dayan, P.: The Effect of Correlated Variability on the Accuracy of a Population Code. Neural computation 11 (1), S. 91 - 101 (1999)
245.
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Dayan, P.: A Hierarchical Model of Binocular Rivalry. Neural computation 10 (5), S. 1119 - 1135 (1998)
246.
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Singh, S.; Dayan, P.: Analytical Mean Squared Error Curves for Temporal Difference Learning. Machine Learning 32 (1), S. 5 - 40 (1998)
247.
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Sommer, F.; Dayan, P.: Bayesian retrieval in associative memories with storage errors. IEEE Transactions on Neural Networks 9 (4), S. 705 - 713 (1998)
248.
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Zemel, R.; Dayan, P.; Pouget, A.: Probabilistic Interpretation of Population Codes. Neural computation 10 (2), S. 403 - 430 (1998)
249.
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Neal , R.; Dayan, P.: Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural computation 9 (8), S. 1781 - 1803 (1997)
250.
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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)
251.
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Schultz, W.; Dayan, P.; Montague, P.: A neural substrate of prediction and reward. Science 275 (5306), S. 1593 - 1599 (1997)
252.
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Dayan, P.; Hinton, G.: Using Expectation-Maximization for Reinforcement Learning. Neural computation 9 (2), S. 271 - 278 (1997)
253.
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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)
254.
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Dayan, P.; Hinton, G.: Varieties of Helmholtz Machine. Neural networks 9 (8), S. 1385 - 1403 (1996)
255.
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Dayan, P.; Sejnowski, T.: Exploration bonuses and dual control. Machine Learning 25 (1), S. 5 - 22 (1996)
256.
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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)
257.
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Montague, P.; Dayan, P.; Person, C.; Sejnowski , T.: Bee foraging in uncertain environments using predictive hebbian learning. Nature 377 (6551), S. 725 - 728 (1995)
258.
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Dayan, P.; Hinton, G.; Neal, R.; Zemel, R.: The Helmholtz Machine. Neural computation 7 (5), S. 889 - 904 (1995)
259.
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Dayan, P.; Zemel, R.: Competition and Multiple Cause Models. Neural computation 7 (3), S. 565 - 579 (1995)
260.
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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)
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