Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats

Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats

Learning to form appropriate, task-relevant working memory representations is a complex process central to cognition. Gating models frame working memory as a collection of past observations and use reinforcement learning to solve the problem of when to update these observations. Investigation of how...

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Bibliographic Details
Main Authors:	Kevin eLloyd, Nadine eBecker, Matthew W Jones, Rafal eBogacz
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2012-10-01
Series:	Frontiers in Computational Neuroscience
Subjects:	Reversal Learning reinforcement learning working memory gating models rule learning
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00087/full

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