↓ Skip to main content

Cellular switches orchestrate rhythmic circuits

Overview of attention for article published in Biological Cybernetics, September 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
17 Mendeley
citeulike
1 CiteULike
Title
Cellular switches orchestrate rhythmic circuits
Published in
Biological Cybernetics, September 2018
DOI 10.1007/s00422-018-0778-6
Pubmed ID
Authors

Guillaume Drion, Alessio Franci, Rodolphe Sepulchre

Abstract

Small inhibitory neuronal circuits have long been identified as key neuronal motifs to generate and modulate the coexisting rhythms of various motor functions. Our paper highlights the role of a cellular switching mechanism to orchestrate such circuits. The cellular switch makes the circuits reconfigurable, robust, adaptable, and externally controllable. Without this cellular mechanism, the circuit rhythms entirely rely on specific tunings of the synaptic connectivity, which makes them rigid, fragile, and difficult to control externally. We illustrate those properties on the much studied architecture of a small network controlling both the pyloric and gastric rhythms of crabs. The cellular switch is provided by a slow negative conductance often neglected in mathematical modeling of central pattern generators. We propose that this conductance is simple to model and key to computational studies of rhythmic circuit neuromodulation.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 4 24%
Other 2 12%
Professor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Neuroscience 5 29%
Engineering 3 18%
Biochemistry, Genetics and Molecular Biology 2 12%
Computer Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 5 29%
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 05 September 2018.
All research outputs
#20,532,290
of 23,102,082 outputs
Outputs from Biological Cybernetics
#641
of 681 outputs
Outputs of similar age
#292,299
of 335,675 outputs
Outputs of similar age from Biological Cybernetics
#5
of 5 outputs
Altmetric has tracked 23,102,082 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 681 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% 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 335,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.