Complexity synchronization analysis of neurophysiological data: Theory and methods.

Schizas I, Sullivan S, Kerick S, Mahmoodi K, Cortney Bradford J, Boothe DL, Franaszczuk PJ, Grigolini P, West BJ

Open source

DOI
10.3389/fnetp.2025.1570530
Published
2025
Container
Frontiers in network physiology
Publisher
Not recorded
Open access
yes

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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

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