Identification of criticality in neuronal avalanches: II. A theoretical and empirical investigation of the Driven case
- Submitting institution
-
University of Sussex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 201607_48287
- Type
- D - Journal article
- DOI
-
10.1186/2190-8567-4-9
- Title of journal
- Journal of Mathematical Neuroscience
- Article number
- -
- First page
- 1
- Volume
- 4
- Issue
- 9
- ISSN
- 2190-8567
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- URL
-
https://doi.org/10.1186/2190-8567-4-9
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This work is the first rigorous attempt to reconcile two sets of observations regarding criticality in neural systems: power laws of size of neural avalanches and long-range temporal correlations (LRTCs) of amplitude fluctuations. These features were previously treated in isolation, in part because neural avalanches are typically observed in small-size circuits whereas LRTCs are observed at the mesoscale. We showed that both could occur within the same critical system, depending on how criticality was approached. This finding has been experimentally confirmed [1] and cited by influential researchers such as Priesemann [2] and Shriki [3].
[1] https://doi.org/10.7554/eLife.27119
[2] https://doi.org/10.3389/fnsys.2014.00108
[3] https://doi.org/10.1038/s41598-019-49788-5"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -