Complexity synchronization analysis of neurophysiological data: Theory and methods.
- DOI
- 10.3389/fnetp.2025.1570530
- Published
- 2025
- Container
- Frontiers in network physiology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fnetp.2025.1570530,
title = {Complexity synchronization analysis of neurophysiological data: Theory and methods.},
author = {Schizas I and Sullivan S and Kerick S and Mahmoodi K and Cortney Bradford J and Boothe DL and Franaszczuk PJ and Grigolini P and West BJ},
year = {2025},
journal = {Frontiers in network physiology},
doi = {10.3389/fnetp.2025.1570530},
url = {https://doi.org/10.3389/fnetp.2025.1570530}
}RIS
TY - JOUR TI - Complexity synchronization analysis of neurophysiological data: Theory and methods. AU - Schizas I AU - Sullivan S AU - Kerick S AU - Mahmoodi K AU - Cortney Bradford J AU - Boothe DL AU - Franaszczuk PJ AU - Grigolini P AU - West BJ PY - 2025 JO - Frontiers in network physiology DO - 10.3389/fnetp.2025.1570530 UR - https://doi.org/10.3389/fnetp.2025.1570530 ER -
APA
I, S., S, S., S, K., K, M., J, C. B., DL, B., PJ, F., P, G., & BJ, W. (2025). Complexity synchronization analysis of neurophysiological data: Theory and methods.. Frontiers in network physiology. https://doi.org/10.3389/fnetp.2025.1570530
Source records
- pubmed · retrieved 2026-09-25T12:24:31.444Z
- europe-pmc · retrieved 2026-09-25T12:24:32.435Z
- doaj · retrieved 2026-09-25T12:24:31.453Z