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Statistical models of conditioning

Dayan, P; Long, T; (1998) Statistical models of conditioning. In: Jordan, MI and Kearns, MJ and Solla, SA, (eds.) ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 10. (pp. 117 - 123). M I T PRESS

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Abstract

Conditioning experiments probe the ways that animals make predictions about rewards and punishments and use those predictions to control their behavior. One standard model of conditioning paradigms which involve many conditioned stimuli suggests that individual predictions should be added together. Various key results show that this model fails in some circumstances, and motivate an alternative model, in which there is attentional selection between different available stimuli. The new model is a form of mixture of experts, has a close relationship with some other existing psychological suggestions, and is statistically well-founded.

Type:Proceedings paper
Title:Statistical models of conditioning
Event:11th Annual Conference on Neural Information Processing Systems (NIPS)
Location:DENVER, CO
Dates:1997-12-01 - 1997-12-06
ISBN:0-262-10076-2
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neuroscience Unit

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