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Sensorimotor Learning: Neurocognitive Mechanisms and Individual Differences

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, July 2017
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146 Mendeley
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Title
Sensorimotor Learning: Neurocognitive Mechanisms and Individual Differences
Published in
Journal of NeuroEngineering and Rehabilitation, July 2017
DOI 10.1186/s12984-017-0279-1
Pubmed ID
Authors

R. D. Seidler, R. G. Carson

Abstract

Here we provide an overview of findings and viewpoints on the mechanisms of sensorimotor learning presented at the 2016 Biomechanics and Neural Control of Movement (BANCOM) conference in Deer Creek, OH. This field has shown substantial growth in the past couple of decades. For example it is now well accepted that neural systems outside of primary motor pathways play a role in learning. Frontoparietal and anterior cingulate networks contribute to sensorimotor adaptation, reflecting strategic aspects of exploration and learning. Longer term training results in functional and morphological changes in primary motor and somatosensory cortices. Interestingly, re-engagement of strategic processes once a skill has become well learned may disrupt performance. Efforts to predict individual differences in learning rate have enhanced our understanding of the neural, behavioral, and genetic factors underlying skilled human performance. Access to genomic analyses has dramatically increased over the past several years. This has enhanced our understanding of cellular processes underlying the expression of human behavior, including involvement of various neurotransmitters, receptors, and enzymes. Surprisingly our field has been slow to adopt such approaches in studying neural control, although this work does require much larger sample sizes than are typically used to investigate skill learning. We advocate that individual differences approaches can lead to new insights into human sensorimotor performance. Moreover, a greater understanding of the factors underlying the wide range of performance capabilities seen across individuals can promote personalized medicine and refinement of rehabilitation strategies, which stand to be more effective than "one size fits all" treatments.

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The data shown below were collected from the profiles of 3 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 21%
Researcher 21 14%
Student > Master 16 11%
Student > Bachelor 16 11%
Student > Doctoral Student 13 9%
Other 21 14%
Unknown 28 19%
Readers by discipline Count As %
Neuroscience 30 21%
Psychology 19 13%
Sports and Recreations 15 10%
Engineering 11 8%
Medicine and Dentistry 8 5%
Other 21 14%
Unknown 42 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 August 2017.
All research outputs
#14,283,328
of 23,337,345 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#709
of 1,305 outputs
Outputs of similar age
#168,944
of 313,244 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#13
of 27 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 313,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.