Journal
NATURE NEUROSCIENCE
Volume 14, Issue 10, Pages 1250-1252Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/nn.2904
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Funding
- McKnight Foundation
- Human Frontiers Science Program [RGP0036/2009-C]
- US National Institutes of Health (NIH) [MH087882]
- James S. McDonnell Foundation
- NIH [MH080756, DA015718, AG027097]
- Seaver Foundation
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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.
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