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Gait Modulation in C. elegans: An Integrated Neuromechanical Model

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2012
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Title
Gait Modulation in C. elegans: An Integrated Neuromechanical Model
Published in
Frontiers in Computational Neuroscience, January 2012
DOI 10.3389/fncom.2012.00010
Pubmed ID
Authors

Jordan H. Boyle, Stefano Berri, Netta Cohen

Abstract

Equipped with its 302-cell nervous system, the nematode Caenorhabditis elegans adapts its locomotion in different environments, exhibiting so-called swimming in liquids and crawling on dense gels. Recent experiments have demonstrated that the worm displays the full range of intermediate behaviors when placed in intermediate environments. The continuous nature of this transition strongly suggests that these behaviors all stem from modulation of a single underlying mechanism. We present a model of C. elegans forward locomotion that includes a neuromuscular control system that relies on a sensory feedback mechanism to generate undulations and is integrated with a physical model of the body and environment. We find that the model reproduces the entire swim-crawl transition, as well as locomotion in complex and heterogeneous environments. This is achieved with no modulatory mechanism, except via the proprioceptive response to the physical environment. Manipulations of the model are used to dissect the proposed pattern generation mechanism and its modulation. The model suggests a possible role for GABAergic D-class neurons in forward locomotion and makes a number of experimental predictions, in particular with respect to non-linearities in the model and to symmetry breaking between the neuromuscular systems on the ventral and dorsal sides of the body.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Netherlands 2 1%
Italy 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 138 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 29%
Researcher 34 23%
Student > Master 14 10%
Student > Bachelor 9 6%
Professor 7 5%
Other 21 14%
Unknown 19 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 23%
Engineering 27 18%
Neuroscience 22 15%
Computer Science 12 8%
Physics and Astronomy 9 6%
Other 18 12%
Unknown 25 17%
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 22 November 2017.
All research outputs
#12,853,567
of 22,663,969 outputs
Outputs from Frontiers in Computational Neuroscience
#482
of 1,334 outputs
Outputs of similar age
#142,840
of 244,051 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#23
of 69 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,334 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 62% 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 244,051 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% 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 has gotten more attention than average, scoring higher than 62% of its contemporaries.