Literature DB >> 25411466

Dissociating contributions of ventral and dorsal striatum to reward learning.

Chong Chen1, Yuki Omiya2, Si Yang3.   

Abstract

Reward learning plays a central role in decision making and adaptation. Accumulating evidence suggests that the striatum contributes enormously to reward learning but that its subregions may have distinct functions. A recent article by Tricomi and Lempert (J Neurophysiol. First published 22 October 2014, doi:10.1152/jn.00086.2014.) found that ventral striatum tracks reward value, whereas dorsolateral and dorsomedial striatum track the trialwise reward probability. In this Neuro Forum we reinterpret their findings and provide additional insights.
Copyright © 2015 the American Physiological Society.

Keywords:  model based; model free; reward learning; striatum

Mesh:

Year:  2014        PMID: 25411466      PMCID: PMC4556856          DOI: 10.1152/jn.00873.2014

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  12 in total

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5.  States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.

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7.  Dissociating motivation from reward in human striatal activity.

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Review 8.  Model-based and model-free Pavlovian reward learning: revaluation, revision, and revelation.

Authors:  Peter Dayan; Kent C Berridge
Journal:  Cogn Affect Behav Neurosci       Date:  2014-06       Impact factor: 3.282

9.  Model-based influences on humans' choices and striatal prediction errors.

Authors:  Nathaniel D Daw; Samuel J Gershman; Ben Seymour; Peter Dayan; Raymond J Dolan
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Authors:  Klaus Wunderlich; Peter Dayan; Raymond J Dolan
Journal:  Nat Neurosci       Date:  2012-03-11       Impact factor: 24.884

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4.  Tolerance to Ethanol or Nicotine Results in Increased Ethanol Self-Administration and Long-Term Depression in the Dorsolateral Striatum.

Authors:  Chandrika Abburi; Shannon L Wolfman; Ryan A E Metz; Rinya Kamber; Daniel S McGehee; John McDaid
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Review 5.  Volume and Connectivity Differences in Brain Networks Associated with Cognitive Constructs of Binge Eating.

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