Modeling neural dynamics with optical nonlinearity: From classical models to optogenetic approaches.

Gerasimova SA, Pisarchik AN

Open source

DOI
10.3934/mbe.2026037
Published
2026 Mar 3
Container
Mathematical biosciences and engineering : MBE
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3934/mbe.2026037,
  title = {Modeling neural dynamics with optical nonlinearity: From classical models to optogenetic approaches.},
  author = {Gerasimova SA and Pisarchik AN},
  year = {2026},
  journal = {Mathematical biosciences and engineering : MBE},
  doi = {10.3934/mbe.2026037},
  url = {https://doi.org/10.3934/mbe.2026037}
}

RIS

TY  - JOUR
TI  - Modeling neural dynamics with optical nonlinearity: From classical models to optogenetic approaches.
AU  - Gerasimova SA
AU  - Pisarchik AN
PY  - 2026
JO  - Mathematical biosciences and engineering : MBE
DO  - 10.3934/mbe.2026037
UR  - https://doi.org/10.3934/mbe.2026037
ER  - 

APA

SA, G., & AN, P. (2026). Modeling neural dynamics with optical nonlinearity: From classical models to optogenetic approaches.. Mathematical biosciences and engineering : MBE. https://doi.org/10.3934/mbe.2026037

Source records