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Visuomotor learning by passive motor experience

Overview of attention for article published in Frontiers in Human Neuroscience, May 2015
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Title
Visuomotor learning by passive motor experience
Published in
Frontiers in Human Neuroscience, May 2015
DOI 10.3389/fnhum.2015.00279
Pubmed ID
Authors

Takashi Sakamoto, Toshiyuki Kondo

Abstract

Humans can adapt to unfamiliar dynamic and/or kinematic transformations through the active motor experience. Recent studies of neurorehabilitation using robots or brain-computer interface (BCI) technology suggest that passive motor experience would play a measurable role in motor recovery, however our knowledge of passive motor learning is limited. To clarify the effects of passive motor experience on human motor learning, we performed arm reaching experiments guided by a robotic manipulandum. The results showed that the passive motor experience had an anterograde transfer effect on the subsequent motor execution, whereas no retrograde interference was confirmed in the ABA paradigm experiment. This suggests that the passive experience of the error between visual and proprioceptive sensations leads to the limited but actual compensation of behavior, although it is fragile and cannot be consolidated as a persistent motor memory.

X Demographics

X Demographics

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 24%
Researcher 9 15%
Student > Bachelor 7 11%
Student > Ph. D. Student 6 10%
Student > Doctoral Student 3 5%
Other 9 15%
Unknown 13 21%
Readers by discipline Count As %
Neuroscience 11 18%
Psychology 10 16%
Engineering 7 11%
Sports and Recreations 5 8%
Agricultural and Biological Sciences 3 5%
Other 12 19%
Unknown 14 23%
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 05 May 2015.
All research outputs
#14,574,276
of 23,344,526 outputs
Outputs from Frontiers in Human Neuroscience
#4,633
of 7,271 outputs
Outputs of similar age
#139,935
of 265,911 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#118
of 177 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 32nd percentile – i.e., 32% 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 265,911 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 177 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.