Neural averaging in motor learning.

Full Abstract

The capacity for skill development over multiple training episodes is fundamental to human motor function. We have studied the process by which skills evolve with training by progressively modifying a series of motor learning tasks that subjects performed over a 1-mo period. In a series of empirical and modeling studies, we show that performance undergoes repeated modification with new learning. Each in a series of prior training episodes contributes such that present performance reflects a weighted average of previous learning. Moreover, we have observed that the relative weighting of skills learned wholly in the past changes with time. This suggests that the neural substrate of skill undergoes modification after consolidation.

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Author information

Author/s: Mattar, Andrew A G (AA); Ostry, David J (DJ);

Affiliation: Department of Psychology, McGill University, 1205 Dr. Penfield Avenue, Montréal, Québec H3A 1B1, Canada.

Grants: DC 04669 (Agency:NIDCD NIH HHS) ; HD 048924 (Agency:NICHD NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't

Journal: Journal of neurophysiology (J Neurophysiol), published in United States. (Language: eng)

Reference: 2007-Jan; vol 97 (issue 1) : pp 220-8

Dates: Created 2007/01/17; Completed 2007/03/09; Revised 2008/11/21;

PMID: 17021025, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Arm - innervation; physiology
Brain - physiology
Computer Simulation
Cues
Feedback - physiology
Female
Humans
Learning - physiology
Male

Male
Models, Neurological
Motor Skills - physiology
Movement - physiology
Neurons - physiology
Neuropsychological Tests
Physical Exertion - physiology
Robotics
User-Computer Interface

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