Differential roles of human striatum and amygdala in associative learning

Jian Li, Daniela Schiller, Geoffrey Schoenbaum, Elizabeth A. Phelps, Nathaniel D. Daw

Research output: Contribution to journalArticlepeer-review

258 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1250-1252
Number of pages3
JournalNature neuroscience
Volume14
Issue number10
DOIs
StatePublished - Oct 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Neuroscience

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