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Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems

Overview of attention for article published in Frontiers in Behavioral Neuroscience, July 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users
facebook
1 Facebook page

Citations

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4 Dimensions

Readers on

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31 Mendeley
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Title
Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems
Published in
Frontiers in Behavioral Neuroscience, July 2015
DOI 10.3389/fnbeh.2015.00186
Pubmed ID
Authors

Ferran Galán, Stuart N. Baker

Abstract

Brain-machine interface (BMI) research assumes that patients with disconnected neural pathways could naturally control a prosthetic device by volitionally modulating sensorimotor cortical activity usually responsible for movement coordination. However, computational approaches to motor control challenge this view. This article examines the predictions of optimal feedback control (OFC) theory on the effects that loss of motor output and sensory feedback have on the normal generation of motor commands. Example simulations of unimpaired, totally disconnected, and deafferented controllers illustrate that by neglecting the dynamic interplay between motor commands, state estimation, feedback and behavior, current BMI systems face translational challenges rooted in a debatable assumption and experimental models of limited validity.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Ph. D. Student 6 19%
Student > Master 5 16%
Student > Bachelor 2 6%
Other 1 3%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Engineering 8 26%
Agricultural and Biological Sciences 6 19%
Neuroscience 6 19%
Social Sciences 2 6%
Unspecified 1 3%
Other 2 6%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 August 2015.
All research outputs
#12,869,448
of 22,816,807 outputs
Outputs from Frontiers in Behavioral Neuroscience
#1,404
of 3,168 outputs
Outputs of similar age
#103,038
of 234,791 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#46
of 91 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 54% 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 234,791 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 55% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.