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pubmed-article:16895461pubmed:abstractTextOur expectation of an event such as a visual stimulus clearly depends on previous experience, but how the brain computes this expectation is currently not fully understood. Because expectation influences the time to respond to a stimulus, we arranged for the probability of a visual target to suddenly change and found that the time taken to make an eye movement to it then changed continuously, eventually stabilizing at a level reflecting the new probability. The time course of this change can be modeled making a simple assumption: that the brain discounts old information about the probability of an event by a factor lambda, relative to new information. The value of lambda presumably represents a compromise between responding rapidly to genuine changes in the environment and not prematurely discarding information still of value. The model we propose may be implemented by a very simple neural circuit composed of only a few neurons.lld:pubmed
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pubmed-article:16895461pubmed:volume6lld:pubmed
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pubmed-article:16895461pubmed:pagination822-35lld:pubmed
pubmed-article:16895461pubmed:dateRevised2008-11-21lld:pubmed
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pubmed-article:16895461pubmed:year2006lld:pubmed
pubmed-article:16895461pubmed:articleTitleChanges in expectation consequent on experience, modeled by a simple, forgetful neural circuit.lld:pubmed
pubmed-article:16895461pubmed:affiliationDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, Australia. aaj@unimelb.edu.aulld:pubmed
pubmed-article:16895461pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:16895461pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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