Markers of criticality in phase synchronization
- Submitting institution
-
University of Sussex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 201607_49695
- Type
- D - Journal article
- DOI
-
10.3389/fnsys.2014.00176
- Title of journal
- Frontiers in Systems Neuroscience
- Article number
- -
- First page
- 1
- Volume
- 8
- Issue
- 176
- ISSN
- 1662-5137
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2014
- URL
-
https://doi.org/10.3389/fnsys.2014.00176
- 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
-
2
- Research group(s)
-
-
- Citation count
- 32
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This work develops a new methodology for assessing the extent to which systems involving weakly-interacting oscillations (e.g., brains) operate at or near criticality. Unlike previous approaches, it does not involve thresholding. To date, the methodology has influenced Neuroscience in at least two important ways: it has been used by a world-leading research group in Parkinson's Disease to predict the severity of PD symptoms [1] and it has been used by another group to characterise functional connectivity [2]. It has been cited in an influential review of the Kuramoto model on complex networks [3].
[1] https://doi.org/10.3389/fnhum.2016.00517
[2] https://doi.org/10.1162/netn_a_00008
[3] https://doi.org/10.1016/j.physrep.2015.10.008"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -