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Research article summary (published 8 Mar 2008):

Sleep improves the variability of motor performance.

Full Abstract

Sleep after learning often enhances task performance, but the underlying mechanisms remain unclear. Using a well-characterized rotation learning paradigm implemented both behaviorally and in computer simulations, we compared two main hypotheses:
the first, that off-line replay during sleep leads to further potentiation of synaptic circuits involved in learning; the second, that sleep enhances performance by uniformly downscaling synaptic strength. A simple computer model implemented synaptic changes associated with rotation adaptation (30 degrees ), yielding a reduction in mean directional error. Simulating further synaptic potentiation led to a further reduction of mean directional error, but not of directional variability. By contrast, simulating sleep-dependent synaptic renormalization by scaling down all synaptic weights by 15% decreased both mean directional error and variability. Two groups of subjects were tested after either two rotation adaptation training sessions or after a single training session followed by sleep. After two training sessions, mean direction error decreased, but directional variability remained high. However, subjects who slept after a single training session showed a reduction in both directional error and variability, consistent with a downscaling mechanism during sleep.

 

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Author information

Author/s: Hill, Sean (S); Tononi, Giulio (G); Ghilardi, M Felice (MF);

Affiliation: IBM TJ Watson Research Center, Yorktown Heights, NY, United States.

Grants: R01 NS054864 (Agency:United States NINDS) ; R01 NS055185 (Agency:United States NINDS)

Journal and publication information

Publication Type: Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural

Journal: Brain research bulletin (Brain Res Bull), published in United States. (Language: eng)

Reference: 2008-Aug; vol 76 (issue 6) : pp 605-11

Dates: Created 2008/07/07; Completed 2008/08/19;

PMID: 18598851, status: MEDLINE (last retrieval date: 11/6/2008)

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

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