Literature DB >> 33872304

Hierarchical motor adaptations negotiate failures during force field learning.

Tsuyoshi Ikegami1,2,3, Gowrishankar Ganesh1,2,4, Tricia L Gibo2,5, Toshinori Yoshioka2, Rieko Osu2,6, Mitsuo Kawato2.   

Abstract

Humans have the amazing ability to learn the dynamics of the body and environment to develop motor skills. Traditional motor studies using arm reaching paradigms have viewed this ability as the process of 'internal model adaptation'. However, the behaviors have not been fully explored in the case when reaches fail to attain the intended target. Here we examined human reaching under two force fields types; one that induces failures (i.e., target errors), and the other that does not. Our results show the presence of a distinct failure-driven adaptation process that enables quick task success after failures, and before completion of internal model adaptation, but that can result in persistent changes to the undisturbed trajectory. These behaviors can be explained by considering a hierarchical interaction between internal model adaptation and the failure-driven adaptation of reach direction. Our findings suggest that movement failure is negotiated using hierarchical motor adaptations by humans.

Entities:  

Year:  2021        PMID: 33872304     DOI: 10.1371/journal.pcbi.1008481

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  2 in total

Review 1.  Adaptive Feedback Control in Human Reaching Adaptation to Force Fields.

Authors:  James Mathew; Frédéric Crevecoeur
Journal:  Front Hum Neurosci       Date:  2021-12-27       Impact factor: 3.169

2.  From internal models toward metacognitive AI.

Authors:  Mitsuo Kawato; Aurelio Cortese
Journal:  Biol Cybern       Date:  2021-10       Impact factor: 2.086

  2 in total

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