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Motor skill learning decreases motor variability and increases planning horizon

View ORCID ProfileLuke Bashford, View ORCID ProfileDmitry Kobak, Jörn Diedrichsen, View ORCID ProfileCarsten Mehring
doi: https://doi.org/10.1101/505198
Luke Bashford
1Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany
2Faculty of Biology, University of Freiburg, Freiburg, Germany
3Imperial College London, London, UK
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  • For correspondence: bashford@caltech.edu
Dmitry Kobak
1Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany
2Faculty of Biology, University of Freiburg, Freiburg, Germany
3Imperial College London, London, UK
4Champalimaud Centre for the Unknown, Lisbon, Portugal
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Jörn Diedrichsen
5Brain and Mind Institute & Department for Computer Science, University of Western Ontario, Ontario, Canada
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Carsten Mehring
1Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany
2Faculty of Biology, University of Freiburg, Freiburg, Germany
3Imperial College London, London, UK
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Abstract

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 motor 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 was due to the increase in planning horizon. An optimal control model with a fixed horizon (receding horizon control) that increases with tracking skill quantitatively captured the subjects’ movement behaviour. These findings demonstrate that human subjects not only increase their motor acuity but also their planning horizon when acquiring a motor skill.

New and Noteworthy We show that when learning a motor skill humans are using information about the environment from an increasingly longer amount of the movement path ahead to improve performance. Crucial features of the behavioural performance can be captured by modelling the behavioural data with a receding horizon optimal control model.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 04, 2020.
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Motor skill learning decreases motor variability and increases planning horizon
Luke Bashford, Dmitry Kobak, Jörn Diedrichsen, Carsten Mehring
bioRxiv 505198; doi: https://doi.org/10.1101/505198
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Motor skill learning decreases motor variability and increases planning horizon
Luke Bashford, Dmitry Kobak, Jörn Diedrichsen, Carsten Mehring
bioRxiv 505198; doi: https://doi.org/10.1101/505198

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