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Learning to never forget—time scales and specificity of long-term memory of a motor skill

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
Learning to never forget—time scales and specificity of long-term memory of a motor skill
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00111
Pubmed ID
Authors

Se-Woong Park, Tjeerd M. H. Dijkstra, Dagmar Sternad

Abstract

Despite anecdotal reports that humans retain acquired motor skills for many years, if not a lifetime, long-term memory of motor skills has received little attention. While numerous neuroimaging studies showed practice-induced cortical plasticity, the behavioral correlates, what is retained and also what is forgotten, are little understood. This longitudinal case study on four subjects presents detailed kinematic analyses of humans practicing a bimanual polyrhythmic task over 2 months with retention tests after 6 months and, for two subjects, after 8 years. Results showed that individuals not only retained the task, but also reproduced their individual "style" of performance, even after 8 years. During practice, variables such as the two hands' frequency ratio and relative phase, changed at different rates, indicative of multiple time scales of neural processes. Frequency leakage across hands, reflecting intermanual crosstalk, attenuated at a significantly slower rate and was the only variable not maintained after 8 years. Complementing recent findings on neuroplasticity in gray and white matter, our study presents new behavioral evidence that highlights the multi-scale process of practice-induced changes and its remarkable persistence. Results suggest that motor memory may comprise not only higher-level task variables but also individual kinematic signatures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 2%
Netherlands 1 <1%
Australia 1 <1%
Hong Kong 1 <1%
India 1 <1%
United States 1 <1%
Unknown 109 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 28%
Student > Master 16 14%
Researcher 14 12%
Professor 10 9%
Student > Bachelor 10 9%
Other 23 20%
Unknown 10 9%
Readers by discipline Count As %
Neuroscience 27 23%
Engineering 17 15%
Psychology 14 12%
Agricultural and Biological Sciences 12 10%
Sports and Recreations 8 7%
Other 22 19%
Unknown 16 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2023.
All research outputs
#7,947,693
of 25,818,700 outputs
Outputs from Frontiers in Computational Neuroscience
#396
of 1,475 outputs
Outputs of similar age
#79,014
of 291,355 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#28
of 138 outputs
Altmetric has tracked 25,818,700 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 291,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.