Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.neuroimage.2020.116834
Title: Goal-oriented and habitual decisions: Neural signatures of model-based and model-free learning
Authors: Huang, Y.
Yaple, Z.A. 
Yu, R. 
Issue Date: 15-Jul-2020
Publisher: Academic Press Inc.
Citation: Huang, Y., Yaple, Z.A., Yu, R. (2020-07-15). Goal-oriented and habitual decisions: Neural signatures of model-based and model-free learning. NeuroImage 215 : 116834. ScholarBank@NUS Repository. https://doi.org/10.1016/j.neuroimage.2020.116834
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: Human decision-making is mainly driven by two fundamental learning processes: a slow, deliberative, goal-directed model-based process that maps out the potential outcomes of all options and a rapid habitual model-free process that enables reflexive repetition of previously successful choices. Although many model-informed neuroimaging studies have examined the neural correlates of model-based and model-free learning, the concordant activity among these two processes remains unclear. We used quantitative meta-analyses of functional magnetic resonance imaging experiments to identify the concordant activity pertaining to model-based and model-free learning over a range of reward-related paradigms. We found that: 1) both processes yielded concordant ventral striatum activity, 2) model-based learning activated the medial prefrontal cortex and orbital frontal cortex, and 3) model-free learning specifically activated the left globus pallidus and right caudate head. Our findings suggest that model-free and model-based decision making engage overlapping yet distinct neural regions. These stereotaxic maps improve our understanding of how deliberative goal-directed and reflexive habitual learning are implemented in the brain. © 2020 The Author(s)
Source Title: NeuroImage
URI: https://scholarbank.nus.edu.sg/handle/10635/198579
ISSN: 10538119
DOI: 10.1016/j.neuroimage.2020.116834
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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