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Resiliency of cortical neural networks against cascaded failures

Overview of attention for article published in NeuroReport, August 2015
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Title
Resiliency of cortical neural networks against cascaded failures
Published in
NeuroReport, August 2015
DOI 10.1097/wnr.0000000000000421
Pubmed ID
Authors

Mahdi Jalili

Abstract

Network tools have been extensively applied to study the properties of brain functional and anatomical networks. In this paper, resiliency of Caenorhabditis elegans cortical networks against cascaded failures is studied. To this end, directed network formed by chemical connections and undirected network formed by electrical couplings through gap junctions are considered. Furthermore, two types of C. elegans networks are studied: the whole cortical network of the hermaphrodite type and the network of the posterior cortex in male C. elegans. The results show that resiliency of hermaphrodite and male networks is different. The male cortical network of chemical synapses shows extensively weaker resiliency than the randomized counterparts, whereas there are some patchy differences for the gap junctions network. However, the chemical and electrical networks of hermaphrodite type show a completely different behavior. In this type, for a range of medium to large capacity parameter (load capacity of the nodes is proportional to their capacity parameter), the network of chemical connections has significantly less resiliency (P<0.001) than the randomized networks, whereas the network of gap junctions is more resilient (P<0.001) than the random ones. These results show different functionalities of chemical and electrical connections in the cortical networks of hermaphrodite C. elegans.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 20%
Lecturer 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Researcher 1 20%
Other 0 0%
Readers by discipline Count As %
Psychology 2 40%
Computer Science 1 20%
Neuroscience 1 20%
Unknown 1 20%
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 21 April 2016.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from NeuroReport
#1,989
of 3,245 outputs
Outputs of similar age
#166,534
of 277,609 outputs
Outputs of similar age from NeuroReport
#22
of 47 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,245 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 31st percentile – i.e., 31% 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 277,609 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.