Computational Evidence for Underweighting of Current Error and Overestimation of Future Error in Anxious Individuals.

ABSTRACT:

Background

Real-time control of goal-directed actions requires continuous adjustments in response to both current error (i.e., distance from goal state) and predicted future error. Proportion-integral-derivative control models, which are extensively used in the automated control of industrial processes, formalize this intuition. Previous computational approaches to anxiety have separately addressed behavioral inhibition and exaggerated error processing, but a proportion-integral-derivative control approach that decomposes error processing into current and anticipated error could integrate these accounts and extend them to a real-time sensorimotor control domain.

Methods

We applied a simplified proportion-derivative control model to a virtual driving task in a transdiagnostic

SUBMITTER: Howlett JR 

PROVIDER: S-EPMC7150628 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature