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Communication through Resonance in Spiking Neuronal Networks

Overview of attention for article published in PLoS Computational Biology, August 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
twitter
14 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
257 Mendeley
citeulike
2 CiteULike
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Title
Communication through Resonance in Spiking Neuronal Networks
Published in
PLoS Computational Biology, August 2014
DOI 10.1371/journal.pcbi.1003811
Pubmed ID
Authors

Gerald Hahn, Alejandro F. Bujan, Yves Frégnac, Ad Aertsen, Arvind Kumar

Abstract

The cortex processes stimuli through a distributed network of specialized brain areas. This processing requires mechanisms that can route neuronal activity across weakly connected cortical regions. Routing models proposed thus far are either limited to propagation of spiking activity across strongly connected networks or require distinct mechanisms that create local oscillations and establish their coherence between distant cortical areas. Here, we propose a novel mechanism which explains how synchronous spiking activity propagates across weakly connected brain areas supported by oscillations. In our model, oscillatory activity unleashes network resonance that amplifies feeble synchronous signals and promotes their propagation along weak connections ("communication through resonance"). The emergence of coherent oscillations is a natural consequence of synchronous activity propagation and therefore the assumption of different mechanisms that create oscillations and provide coherence is not necessary. Moreover, the phase-locking of oscillations is a side effect of communication rather than its requirement. Finally, we show how the state of ongoing activity could affect the communication through resonance and propose that modulations of the ongoing activity state could influence information processing in distributed cortical networks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 2%
France 4 2%
United States 3 1%
Netherlands 2 <1%
Norway 1 <1%
Sweden 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 236 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 22%
Researcher 39 15%
Student > Master 14 5%
Professor 11 4%
Student > Bachelor 11 4%
Other 23 9%
Unknown 103 40%
Readers by discipline Count As %
Neuroscience 53 21%
Agricultural and Biological Sciences 38 15%
Medicine and Dentistry 14 5%
Computer Science 13 5%
Physics and Astronomy 10 4%
Other 25 10%
Unknown 104 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 11 August 2019.
All research outputs
#744,499
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#543
of 8,964 outputs
Outputs of similar age
#7,210
of 247,758 outputs
Outputs of similar age from PLoS Computational Biology
#7
of 161 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 93% 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 247,758 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.