Neural signatures of arbitration between Pavlovian and instrumental action selection
Name
journal.pcbi.1008553.pdf
Description
Published version
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1.39 MB
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Checksum (MD5)
1c34bc2665a716dc23d21b5e13172298
Author(s)
Gershman, Samuel J
Guitart-Masip, Marc
Cavanagh, James F
Date Issued
February 10, 2021
Journal
PLOS Computational Biology
Publisher
Public Library of Science (PLoS)
Citation
Gershman SJ, Guitart-Masip M, Cavanagh JF (2021) Neural signatures of arbitration between Pavlovian and instrumental action selection. PLOS Computational Biology 17(2): e1008553.
Version
Final published version
Abstract
Pavlovian associations drive approach towards reward-predictive cues, and avoidance of punishment-predictive cues. These associations “misbehave” when they conflict with correct instrumental behavior. This raises the question of how Pavlovian and instrumental influences on behavior are arbitrated. We test a computational theory according to which Pavlovian influence will be stronger when inferred controllability of outcomes is low. Using a model-based analysis of a Go/NoGo task with human subjects, we show that theta-band oscillatory power in frontal cortex tracks inferred controllability, and that these inferences predict Pavlovian action biases. Functional MRI data revealed an inferior frontal gyrus correlate of action probability and a ventromedial prefrontal correlate of outcome valence, both of which were modulated by inferred controllability.
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DOI of Published Version
https://doi.org/10.1371/journal.pcbi.1008553
