Motor skill learning decreases movement variability and increases planning horizon.

motor control motor learning optimal control receding horizon control skill learning

Journal

Journal of neurophysiology
ISSN: 1522-1598
Titre abrégé: J Neurophysiol
Pays: United States
ID NLM: 0375404

Informations de publication

Date de publication:
01 04 2022
Historique:
pubmed: 24 2 2022
medline: 7 4 2022
entrez: 23 2 2022
Statut: ppublish

Résumé

We investigated motor skill learning using a path tracking task, where human subjects had to track various curved paths at a constant speed while maintaining the cursor within the path width. Subjects' accuracy increased with practice, even when tracking novel untrained paths. Using a "searchlight" paradigm, where only a short segment of the path ahead of the cursor was shown, we found that subjects with a higher tracking skill differed from the novice subjects in two respects. First, they had lower movement variability, in agreement with previous findings. Second, they took a longer section of the future path into account when performing the task, i.e., had a longer planning horizon. We estimate that between one-third and one-half of the performance increase in the expert group was due to the longer planning horizon. An optimal control model with a fixed horizon (receding horizon control) that increases with tracking skill quantitatively captured the subjects' movement behavior. These findings demonstrate that human subjects not only increase their motor acuity but also their planning horizon when acquiring a motor skill.

Identifiants

pubmed: 35196180
doi: 10.1152/jn.00631.2020
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

995-1006

Auteurs

Luke Bashford (L)

Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany.
Faculty of Biology, University of Freiburg, Freiburg, Germany.
Imperial College London, London, United Kingdom.
California Institute of Technology, Pasadena, California.

Dmitry Kobak (D)

Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany.
Faculty of Biology, University of Freiburg, Freiburg, Germany.
Imperial College London, London, United Kingdom.
Champalimaud Centre for the Unknown, Lisbon, Portugal.
Institute for Ophthalmic Research, Tübingen University, Tübingen, Germany.

Jörn Diedrichsen (J)

Brain and Mind Institute, University of Western Ontario, Ontario, Canada.
Department for Computer Science, University of Western Ontario, Ontario, Canada.

Carsten Mehring (C)

Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany.
Faculty of Biology, University of Freiburg, Freiburg, Germany.
Imperial College London, London, United Kingdom.

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Classifications MeSH