A Bayesian brain model of adaptive behavior: an application to the Wisconsin Card Sorting Task.

ABSTRACT: Adaptive behavior emerges through a dynamic interaction between cognitive agents and changing environmental demands. The investigation of information processing underlying adaptive behavior relies on controlled experimental settings in which individuals are asked to accomplish demanding tasks whereby a hidden regularity or an abstract rule has to be learned dynamically. Although performance in such tasks is considered as a proxy for measuring high-level cognitive processes, the standard approach consists in summarizing observed response patterns by simple heuristic scoring measures. With this work, we propose and validate a new computational Bayesian model accounting for individual performance in the Wisconsin Card Sorting Test (WCST), a renowned clinical tool to measure set-shifting and d

SUBMITTER: D'Alessandro M 

PROVIDER: S-EPMC7713598 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature