Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures.

ABSTRACT: Decisions must be implemented through actions, and actions are prone to error. As such, when an expected outcome is not obtained, an individual should be sensitive to not only whether the choice itself was suboptimal but also whether the action required to indicate that choice was executed successfully. The intelligent assignment of credit to action execution versus action selection has clear ecological utility for the learner. To explore this, we used a modified version of a classic reinforcement learning task in which feedback indicated whether negative prediction errors were, or were not, associated with execution errors. Using fMRI, we asked if prediction error computations in the human striatum, a key substrate in reinforcement learning and decision making, are modulated when a failur

SUBMITTER: McDougle SD 

PROVIDER: S-EPMC6535105 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature