Document Detail

Expectancies in decision making, reinforcement learning, and ventral striatum.
MedLine Citation:
PMID:  21221409     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Decisions can arise in different ways, such as from a gut feeling, doing what worked last time, or planful deliberation. Different decision-making systems are dissociable behaviorally, map onto distinct brain systems, and have different computational demands. For instance, "model-free" decision strategies use prediction errors to estimate scalar action values from previous experience, while "model-based" strategies leverage internal forward models to generate and evaluate potentially rich outcome expectancies. Animal learning studies indicate that expectancies may arise from different sources, including not only forward models but also Pavlovian associations, and the flexibility with which such representations impact behavior may depend on how they are generated. In the light of these considerations, we review the results of van der Meer and Redish (2009a), who found that ventral striatal neurons that respond to reward delivery can also be activated at other points, notably at a decision point where hippocampal forward representations were also observed. These data suggest the possibility that ventral striatal reward representations contribute to model-based expectancies used in deliberative decision making.
Matthijs A A van der Meer; A David Redish
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Publication Detail:
Type:  Journal Article     Date:  2010-05-15
Journal Detail:
Title:  Frontiers in neuroscience     Volume:  4     ISSN:  1662-453X     ISO Abbreviation:  Front Neurosci     Publication Date:  2010  
Date Detail:
Created Date:  2011-01-11     Completed Date:  2011-07-14     Revised Date:  2013-08-13    
Medline Journal Info:
Nlm Unique ID:  101478481     Medline TA:  Front Neurosci     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  6     Citation Subset:  -    
Department of Neuroscience, University of Minnesota Minneapolis, MN, USA.
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