Midbrain dopamine neurons compute inferred and cached value prediction errors in a common framework

Midbrain dopamine neurons have been proposed to signal reward prediction errors as defined in temporal difference (TD) learning algorithms. While these models have been extremely powerful in interpreting dopamine activity, they typically do not use value derived through inference in computing errors...

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Bibliographic Details
Main Authors: Brian F Sadacca, Joshua L Jones, Geoffrey Schoenbaum
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2016-03-01
Series:eLife
Subjects:
rat
Online Access:https://elifesciences.org/articles/13665