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Organization of left–right coordination of neuronal activity in the mammalian spinal cord: Insights from computational modelling

Overview of attention for article published in Journal of Physiology, May 2015
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Title
Organization of left–right coordination of neuronal activity in the mammalian spinal cord: Insights from computational modelling
Published in
Journal of Physiology, May 2015
DOI 10.1113/jp270121
Pubmed ID
Authors

Natalia A Shevtsova, Adolfo E Talpalar, Sergey N Markin, Ronald M Harris-Warrick, Ole Kiehn, Ilya A Rybak

Abstract

Different locomotor gaits in mammals, such as walking or galloping, are produced by coordinated activity in neuronal circuits in the spinal cord. Coordination of neuronal activity between left and right sides of the cord is provided by commissural interneurons (CINs), whose axons cross the midline. In this study, we construct and analyze two computational models of spinal locomotor circuits consisting of left and right rhythm generators interacting bilaterally via several neural pathways mediated by different CINs. The CIN populations incorporated in the models include the genetically indentified inhibitory (V0D ) and excitatory (V0V ) subtypes of V0 CINs and excitatory V3 CINs. The model also includes the ipsilaterally projecting excitatory V2a interneurons mediating excitatory drive to the V0V CINs. The proposed network architectures and CIN connectivity allow the models to closely reproduce and suggest mechanistic explanations for several experimental phenomena. These phenomena include: different speed-dependent contributions of V0D and V0V CINs and V2a interneurons to left-right alternation of neural activity, switching gaits between the left-right alternating walking-like activity and the left-right synchronous hopping-like pattern in mutants lacking specific neuron classes, and speed-dependent asymmetric changes of flexor and extensor phase durations. The models provide insights into the architecture of spinal network and the organization of parallel inhibitory and excitatory CIN pathways and suggest explanations for how these pathways maintain alternating and synchronous gaits at different locomotor speeds. The models propose testable predictions about the neural organization and operation of mammalian locomotor circuits. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Austria 1 1%
Unknown 94 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Researcher 15 15%
Student > Master 13 13%
Professor 8 8%
Other 7 7%
Other 18 19%
Unknown 16 16%
Readers by discipline Count As %
Neuroscience 33 34%
Agricultural and Biological Sciences 14 14%
Engineering 11 11%
Medicine and Dentistry 5 5%
Computer Science 3 3%
Other 8 8%
Unknown 23 24%
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 09 June 2015.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from Journal of Physiology
#7,260
of 9,753 outputs
Outputs of similar age
#148,645
of 279,492 outputs
Outputs of similar age from Journal of Physiology
#42
of 69 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,753 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one is in the 23rd percentile – i.e., 23% 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 279,492 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 69 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.