Litcius/Paper detail

Hierarchical motor adaptations negotiate failures during force field learning

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

2021PLoS Computational Biology18 citationsDOIOpen Access PDF

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.

Topics & Concepts

Adaptation (eye)Motor learningProcess (computing)Internal modelNegotiationComputer scienceTask (project management)Mechanism (biology)Field (mathematics)Motor skillMovement (music)PsychologyCognitive psychologyArtificial intelligenceNeuroscienceEngineeringControl (management)PhysicsMathematicsSystems engineeringAcousticsQuantum mechanicsLawPolitical scienceOperating systemPure mathematicsMotor Control and AdaptationMuscle activation and electromyography studiesBalance, Gait, and Falls Prevention