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| Research article summary (published 7 Aug 2006): |
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The role of the ventromedial prefrontal cortex in abstract state-based inference during decision making in humans.
Full Abstract
Many real-life decision-making problems incorporate higher-order structure, involving interdependencies between different stimuli, actions, and subsequent rewards. It is not known whether brain regions implicated in decision making, such as the ventromedial prefrontal cortex (vmPFC), use a stored model of the task structure to guide choice (model-based decision making) or merely learn action or state values without assuming higher-order structure as in standard reinforcement learning. To discriminate between these possibilities, we scanned human subjects with functional magnetic resonance imaging while they performed a simple decision-making task with higher-order structure, probabilistic reversal learning. We found that neural activity in a key decision-making region, the vmPFC, was more consistent with a computational model that exploits higher-order structure than with simple reinforcement learning. These results suggest that brain regions, such as the vmPFC, use an abstract model of task structure to guide behavioral choice, computations that may underlie the human capacity for complex social interactions and abstract strategizing.
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Author information
Author/s: Hampton, Alan N (AN); Bossaerts, Peter (P); O'Doherty, John P (JP);
Affiliation: Computation and Neural Systems Program, California Institute of Technology, Pasadena, California 91125, USA.
Journal and publication information
Publication Type: Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal: The Journal of neuroscience : the official journal of the Society for Neuroscience (J Neurosci), published in United States. (Language: eng)
Reference: 2006-Aug; vol 26 (issue 32) : pp 8360-7
Dates: Created 2006/08/10; Completed 2006/09/05; Revised 2006/11/15;
PMID: 16899731, status: MEDLINE (last retrieval date: 12/26/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
Comments and Corrections
CommentIn: J Neurosci. 2006 Nov 8;26(45):11511-2. (PMID: 17106946)
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