/EEG_vbcEnKF_mEI_est

model baseed E/I balance estimation method using vbEnKF in Neural mass model with parameter constraint

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

EEG_vbcEnKF_mEI_est

There are sample scripts of model baseed E/I balance estimation method using vbEnKF in Neural mass model with parameter constraint.

Authors

  Hiroshi Yokoyama
  (Division of Neural Dynamics, Department of System Neuroscience, National Institute for Physiological Sciences, Japan)

References

Yokoyama Hiroshi and Kitajo Keiichi. (2022). A data assimilation method to track time-varying changes in the excitation-inhibition balance using scalp EEG. bioRxiv. doi: https://doi.org/10.1101/2022.12.16.520838

Cite

Please cite our repository if you use this code in your own work:

@article{Yokoyama2022,
author = {Yokoyama, Hiroshi and Kitajo, Keiichi},
doi = {https://doi.org/10.1101/2022.12.16.520838},
journal = {bioRxiv},
title = {{A data assimilation method to track time-varying changes in the excitation-inhibition balance using scalp EEG}},
year = {2022}
}
@software{EEG_vbcEnKF_mEI_est,
  author = {Yokoyana H.},
  title = {EEG_vbcEnKF_mEI_est},
  url = {https://github.com/myGit-YokoyamaHiroshi/EEG_vbcEnKF_mEI_est},
  year = {2022}
}