論文

査読有り 筆頭著者 責任著者 本文へのリンクあり
2021年4月19日

Hierarchical motor adaptations negotiate failures during force field learning

PLOS Computational Biology
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回数 : 94
  • Tsuyoshi Ikegami
  • ,
  • Gowrishankar Ganesh
  • ,
  • Tricia L. Gibo
  • ,
  • Toshinori Yoshioka
  • ,
  • Rieko Osu
  • ,
  • Mitsuo Kawato

17
4
開始ページ
e1008481
終了ページ
e1008481
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pcbi.1008481
出版者・発行元
Public Library of Science (PLoS)

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.

リンク情報
DOI
https://doi.org/10.1371/journal.pcbi.1008481
URL
https://dx.plos.org/10.1371/journal.pcbi.1008481
ID情報
  • DOI : 10.1371/journal.pcbi.1008481
  • eISSN : 1553-7358
  • ORCIDのPut Code : 92439854

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