| Literature DB >> 21909088 |
Jian Li1, Daniela Schiller, Geoffrey Schoenbaum, Elizabeth A Phelps, Nathaniel D Daw.
Abstract
Although the human amygdala and striatum have both been implicated in associative learning, only the striatum's contribution has been consistently computationally characterized. Using a reversal learning task, we found that amygdala blood oxygen level-dependent activity tracked associability as estimated by a computational model, and dissociated it from the striatal representation of reinforcement prediction error. These results extend the computational learning approach from striatum to amygdala, demonstrating their complementary roles in aversive learning.Entities:
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Year: 2011 PMID: 21909088 PMCID: PMC3268261 DOI: 10.1038/nn.2904
Source DB: PubMed Journal: Nat Neurosci ISSN: 1097-6256 Impact factor: 24.884