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.
© 2011 Nature America, Inc. All rights reserved.
Publication types
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Research Support, N.I.H., Extramural
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Research Support, Non-U.S. Gov't
MeSH terms
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Adolescent
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Adult
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Amygdala / blood supply
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Amygdala / physiology*
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Association Learning / physiology*
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Brain Mapping
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Computer Simulation
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Conditioning, Classical / physiology
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Corpus Striatum / blood supply
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Corpus Striatum / physiology*
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Emotions / physiology
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Female
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Galvanic Skin Response / physiology
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Humans
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Image Processing, Computer-Assisted / methods
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Likelihood Functions
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Magnetic Resonance Imaging / methods
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Male
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Oxygen / blood
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Pattern Recognition, Visual / physiology
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Physical Stimulation / methods
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Time Factors
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Young Adult