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Spike avalanches in vivo suggest a driven, slightly subcritical brain state

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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4 news outlets
blogs
1 blog
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6 X users
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3 Wikipedia pages

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226 Mendeley
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1 CiteULike
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Title
Spike avalanches in vivo suggest a driven, slightly subcritical brain state
Published in
Frontiers in Systems Neuroscience, January 2014
DOI 10.3389/fnsys.2014.00108
Pubmed ID
Authors

Viola Priesemann, Michael Wibral, Mario Valderrama, Robert Pröpper, Michel Le Van Quyen, Theo Geisel, Jochen Triesch, Danko Nikolić, Matthias H. J. Munk

Abstract

In self-organized critical (SOC) systems avalanche size distributions follow power-laws. Power-laws have also been observed for neural activity, and so it has been proposed that SOC underlies brain organization as well. Surprisingly, for spiking activity in vivo, evidence for SOC is still lacking. Therefore, we analyzed highly parallel spike recordings from awake rats and monkeys, anesthetized cats, and also local field potentials from humans. We compared these to spiking activity from two established critical models: the Bak-Tang-Wiesenfeld model, and a stochastic branching model. We found fundamental differences between the neural and the model activity. These differences could be overcome for both models through a combination of three modifications: (1) subsampling, (2) increasing the input to the model (this way eliminating the separation of time scales, which is fundamental to SOC and its avalanche definition), and (3) making the model slightly sub-critical. The match between the neural activity and the modified models held not only for the classical avalanche size distributions and estimated branching parameters, but also for two novel measures (mean avalanche size, and frequency of single spikes), and for the dependence of all these measures on the temporal bin size. Our results suggest that neural activity in vivo shows a mélange of avalanches, and not temporally separated ones, and that their global activity propagation can be approximated by the principle that one spike on average triggers a little less than one spike in the next step. This implies that neural activity does not reflect a SOC state but a slightly sub-critical regime without a separation of time scales. Potential advantages of this regime may be faster information processing, and a safety margin from super-criticality, which has been linked to epilepsy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Germany 3 1%
France 2 <1%
Netherlands 1 <1%
Brazil 1 <1%
Belarus 1 <1%
United Kingdom 1 <1%
Greece 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 209 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 31%
Researcher 48 21%
Student > Master 30 13%
Student > Bachelor 21 9%
Student > Doctoral Student 11 5%
Other 21 9%
Unknown 26 12%
Readers by discipline Count As %
Neuroscience 54 24%
Physics and Astronomy 38 17%
Agricultural and Biological Sciences 26 12%
Engineering 18 8%
Computer Science 15 7%
Other 36 16%
Unknown 39 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 April 2023.
All research outputs
#942,866
of 25,837,817 outputs
Outputs from Frontiers in Systems Neuroscience
#67
of 1,412 outputs
Outputs of similar age
#9,869
of 322,344 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#5
of 24 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 95% 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 322,344 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 96% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.