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State-dependent rhythmogenesis and frequency control in a half-center locomotor CPG

Overview of attention for article published in Journal of Neurophysiology, October 2017
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Article details
Title
State-dependent rhythmogenesis and frequency control in a half-center locomotor CPG
Published in
Journal of Neurophysiology, October 2017
DOI 10.1152/jn.00550.2017
Pubmed ID
Authors
Abstract

The spinal locomotor central pattern generator (CPG) generates rhythmic activity with alternating flexion and extension phases. This rhythmic pattern is likely to result from inhibitory interactions between neural populations representing flexor and extensor half-centers. However, it is unclear whether the flexor-extensor CPG has a quasi-symmetric organization with both half-centers critically involved in rhythm generation, features an asymmetric organization with flexor-driven rhythmogenesis, or comprises a pair of intrinsically rhythmic half-centers. There are experimental data that support each of the above concepts but appear to be inconsistent with the others. In this theoretical/modeling study, we present and analyze a CPG model architecture that can operate in different regimes consistent with the above three concepts depending on conditions, which are defined by external excitatory drives to CPG half-centers. We show that control of frequency and phase durations within each regime depends on network dynamics, defined by the regime-dependent expression of the half-centers' intrinsic rhythmic capabilities and the operating phase transition mechanisms (escape versus release). Our study suggests state-dependency in locomotor CPG operation and proposes explanations for seemingly contradictory experimental data.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 20%
Professor 6 13%
Student > Ph. D. Student 5 11%
Student > Master 3 7%
Student > Postgraduate 3 7%
Other 7 15%
Unknown 13 28%
Readers by discipline
Readers by discipline Count As %
Neuroscience 14 30%
Engineering 10 22%
Agricultural and Biological Sciences 3 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Mathematics 1 2%
Other 1 2%
Unknown 16 35%
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 08 January 2018.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Journal of Neurophysiology
#6,905
of 8,425 outputs
Outputs of similar age
#290,905
of 331,155 outputs
Outputs of similar age from Journal of Neurophysiology
#90
of 116 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,425 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.