| Title |
Neuronal avalanches: Where temporal complexity and criticality meet
|
|---|---|
| Published in |
The European Physical Journal E, November 2017
|
| DOI | 10.1140/epje/i2017-11590-8 |
| Pubmed ID | |
| Authors |
Mohammad Dehghani-Habibabadi, Marzieh Zare, Farhad Shahbazi, Javad Usefie-Mafahim, Paolo Grigolini |
| Abstract |
The model of the current paper is an extension of a previous publication, wherein we have used the leaky integrate-and-fire model on a regular lattice with periodic boundary conditions, and introduced the temporal complexity as a genuine signature of criticality. In that work, the power-law distribution of neural avalanches was a manifestation of supercriticality rather than criticality. Here, however, we show that the continuous solution of the model and replacing the stochastic noise with a Gaussian zero-mean noise leads to the coincidence of power-law display of temporal complexity, and spatiotemporal patterns of neural avalanches at the critical point. We conclude that the source of inconsistency may be a numerical artifact originated by the discrete description of the model which may imply a slow numerical convergence of the avalanche distribution compared to temporal complexity. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 29% |
| Australia | 1 | 14% |
| United States | 1 | 14% |
| Italy | 1 | 14% |
| France | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 18% |
| Student > Master | 4 | 18% |
| Researcher | 3 | 14% |
| Student > Doctoral Student | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 7 | 32% |
| Neuroscience | 4 | 18% |
| Computer Science | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 9% |
| Earth and Planetary Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 December 2017.
All research outputs
#7,755,290
of 23,577,761 outputs
Outputs from The European Physical Journal E
#197
of 651 outputs
Outputs of similar age
#151,580
of 440,709 outputs
Outputs of similar age from The European Physical Journal E
#5
of 16 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 651 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.