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Heterogeneous neural coding of corrective movements in motor cortex

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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Title
Heterogeneous neural coding of corrective movements in motor cortex
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00051
Pubmed ID
Authors

Adam S. Dickey, Yali Amit, Nicholas G. Hatsopoulos

Abstract

During a reach, neural activity recorded from motor cortex is typically thought to linearly encode the observed movement. However, it has also been reported that during a double-step reaching paradigm, neural coding of the original movement is replaced by that of the corrective movement. Here, we use neural data recorded from multi-electrode arrays implanted in the motor and premotor cortices of rhesus macaques to directly compare these two hypotheses. We show that while a majority of neurons display linear encoding of movement during a double-step, a minority display a dramatic drop in firing rate that is predicted by the replacement hypothesis. Neural activity in the subpopulation showing replacement is more likely to lag the observed movement, and may therefore be involved in the monitoring of the sensory consequences of a motor command.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 38%
Researcher 8 17%
Student > Doctoral Student 4 9%
Professor 4 9%
Professor > Associate Professor 3 6%
Other 6 13%
Unknown 4 9%
Readers by discipline Count As %
Neuroscience 18 38%
Agricultural and Biological Sciences 14 30%
Engineering 5 11%
Psychology 1 2%
Sports and Recreations 1 2%
Other 3 6%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 April 2013.
All research outputs
#17,683,485
of 22,703,044 outputs
Outputs from Frontiers in Neural Circuits
#847
of 1,209 outputs
Outputs of similar age
#210,152
of 280,707 outputs
Outputs of similar age from Frontiers in Neural Circuits
#104
of 173 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 22nd percentile – i.e., 22% 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 280,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.