Hierarchical motor adaptations negotiate failures during force field learning

Tsuyoshi Ikegami*, Gowrishankar Ganesh, Tricia L. Gibo, Toshinori Yoshioka, Rieko Osu, Mitsuo Kawato

*この研究の対応する著者

研究成果: Article査読

抄録

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.

本文言語English
論文番号e1008481
ジャーナルPLoS Computational Biology
17
4
DOI
出版ステータスPublished - 2021 4

ASJC Scopus subject areas

  • 生態、進化、行動および分類学
  • 生態学
  • モデリングとシミュレーション
  • 分子生物学
  • 遺伝学
  • 細胞および分子神経科学
  • 計算理論と計算数学

フィンガープリント

「Hierarchical motor adaptations negotiate failures during force field learning」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル