The Relation Between Complexity and Resilient Motor Performance and the Effects of Differential Learning.

ABSTRACT: Complex systems typically demonstrate a mixture of regularity and flexibility in their behavior, which would make them adaptive. At the same time, adapting to perturbations is a core characteristic of resilience. The first aim of the current research was therefore to test the possible relation between complexity and resilient motor performance (i.e., performance while being perturbed). The second aim was to test whether complexity and resilient performance improve through differential learning. To address our aims, we designed two parallel experiments involving a motor task, in which participants moved a stick with their non-dominant hand along a slider. Participants could score points by moving a cursor as fast and accurately as possible between two boxes, positioned on the right- and lef

SUBMITTER: Den Hartigh RJR 

PROVIDER: S-EPMC8397476 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature