A mixture of delta-rules approximation to bayesian inference in change-point problems.

A mixture of delta-rules approximation to bayesian inference in change-point problems.

Error-driven learning rules have received considerable attention because of their close relationships to both optimal theory and neurobiological mechanisms. However, basic forms of these rules are effective under only a restricted set of conditions in which the environment is stable. Recent studies...

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Bibliographic Details
Main Authors:	Robert C Wilson, Matthew R Nassar, Joshua I Gold
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2013-01-01
Series:	PLoS Computational Biology
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23935472/pdf/?tool=EBI

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