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Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity

Overview of attention for article published in Frontiers in Integrative Neuroscience, January 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters
patent
1 patent

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
176 Mendeley
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Title
Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity
Published in
Frontiers in Integrative Neuroscience, January 2009
DOI 10.3389/neuro.07.003.2009
Pubmed ID
Authors

Nathan A. Fitzsimmons

Abstract

The ability to walk may be critically impacted as the result of neurological injury or disease. While recent advances in brain-machine interfaces (BMIs) have demonstrated the feasibility of upper-limb neuroprostheses, BMIs have not been evaluated as a means to restore walking. Here, we demonstrate that chronic recordings from ensembles of cortical neurons can be used to predict the kinematics of bipedal walking in rhesus macaques - both offline and in real time. Linear decoders extracted 3D coordinates of leg joints and leg muscle electromyograms from the activity of hundreds of cortical neurons. As more complex patterns of walking were produced by varying the gait speed and direction, larger neuronal populations were needed to accurately extract walking patterns. Extraction was further improved using a switching decoder which designated a submodel for each walking paradigm. We propose that BMIs may one day allow severely paralyzed patients to walk again.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 5%
Germany 5 3%
Netherlands 2 1%
Japan 1 <1%
Portugal 1 <1%
Unknown 158 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 27%
Researcher 33 19%
Student > Bachelor 18 10%
Student > Master 16 9%
Professor > Associate Professor 16 9%
Other 37 21%
Unknown 8 5%
Readers by discipline Count As %
Engineering 56 32%
Agricultural and Biological Sciences 41 23%
Neuroscience 20 11%
Medicine and Dentistry 19 11%
Psychology 6 3%
Other 16 9%
Unknown 18 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 18 October 2016.
All research outputs
#1,140,632
of 12,552,119 outputs
Outputs from Frontiers in Integrative Neuroscience
#63
of 529 outputs
Outputs of similar age
#20,186
of 188,178 outputs
Outputs of similar age from Frontiers in Integrative Neuroscience
#3
of 13 outputs
Altmetric has tracked 12,552,119 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 529 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 88% 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 188,178 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.