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Modeling spontaneous activity across an excitable epithelium: Support for a coordination scenario of early neural evolution

Overview of attention for article published in Frontiers in Computational Neuroscience, September 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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9 X users
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Title
Modeling spontaneous activity across an excitable epithelium: Support for a coordination scenario of early neural evolution
Published in
Frontiers in Computational Neuroscience, September 2015
DOI 10.3389/fncom.2015.00110
Pubmed ID
Authors

Oltman O. de Wiljes, Ronald A. J. van Elburg, Michael Biehl, Fred A. Keijzer

Abstract

Internal coordination models hold that early nervous systems evolved in the first place to coordinate internal activity at a multicellular level, most notably the use of multicellular contractility as an effector for motility. A recent example of such a model, the skin brain thesis, suggests that excitable epithelia using chemical signaling are a potential candidate as a nervous system precursor. We developed a computational model and a measure for whole body coordination to investigate the coordinative properties of such excitable epithelia. Using this measure we show that excitable epithelia can spontaneously exhibit body-scale patterns of activation. Relevant factors determining the extent of patterning are the noise level for exocytosis, relative body dimensions, and body size. In smaller bodies whole-body coordination emerges from cellular excitability and bidirectional excitatory transmission alone. Our results show that basic internal coordination as proposed by the skin brain thesis could have arisen in this potential nervous system precursor, supporting that this configuration may have played a role as a proto-neural system and requires further investigation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 %
Researcher 5 29%
Student > Ph. D. Student 3 18%
Student > Bachelor 2 12%
Other 2 12%
Student > Master 1 6%
Other 3 18%
Unknown 1 6%
Readers by discipline Count As %
Neuroscience 7 41%
Agricultural and Biological Sciences 2 12%
Computer Science 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Nursing and Health Professions 1 6%
Other 3 18%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 November 2015.
All research outputs
#6,011,180
of 22,689,790 outputs
Outputs from Frontiers in Computational Neuroscience
#291
of 1,336 outputs
Outputs of similar age
#71,120
of 268,657 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#8
of 34 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,336 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 done well, scoring higher than 77% 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 268,657 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 34 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.