Parallel model-based and model-free reinforcement learning for card sorting performance.

ABSTRACT: The Wisconsin Card Sorting Test (WCST) is considered a gold standard for the assessment of cognitive flexibility. On the WCST, repeating a sorting category following negative feedback is typically treated as indicating reduced cognitive flexibility. Therefore such responses are referred to as 'perseveration' errors. Recent research suggests that the propensity for perseveration errors is modulated by response demands: They occur less frequently when their commitment repeats the previously executed response. Here, we propose parallel reinforcement-learning models of card sorting performance, which assume that card sorting performance can be conceptualized as resulting from model-free reinforcement learning at the level of responses that occurs in parallel with model-based reinforcement lear

SUBMITTER: Steinke A 

PROVIDER: S-EPMC7508815 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature