Multiple motor memories are learned to control different points on a tool
James B. Heald (),
James N. Ingram,
J. Randall Flanagan and
Daniel M. Wolpert
Additional contact information
James B. Heald: University of Cambridge
James N. Ingram: University of Cambridge
J. Randall Flanagan: Queen’s University
Daniel M. Wolpert: University of Cambridge
Nature Human Behaviour, 2018, vol. 2, issue 4, 300-311
Abstract:
Abstract Skilful object manipulation requires learning the dynamics of objects, linking applied force to motion1,2. This involves the formation of a motor memory3,4, which has been assumed to be associated with the object, independent of the point on the object that one chooses to control. Importantly, in manipulation tasks, different control points on an object, such as the rim of a cup when drinking or its base when setting it down, can be associated with distinct dynamics. Here, we show that opposing dynamic perturbations, which interfere when controlling a single location on an object, can be learned when each is associated with a separate control point. This demonstrates that motor memory formation is linked to control points on the object, rather than the object per se. We also show that the motor system only generates separate memories for different control points if they are linked to different dynamics, allowing efficient use of motor memory. To account for these results, we develop a normative switching state-space model of motor learning, in which the association between cues (control points) and contexts (dynamics) is learned rather than fixed. Our findings uncover an important mechanism through which the motor system generates flexible and dexterous behaviour.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41562-018-0324-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:2:y:2018:i:4:d:10.1038_s41562-018-0324-5
Ordering information: This journal article can be ordered from
https://www.nature.com/nathumbehav/
DOI: 10.1038/s41562-018-0324-5
Access Statistics for this article
Nature Human Behaviour is currently edited by Stavroula Kousta
More articles in Nature Human Behaviour from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().