The code simulates scalp-recorded EEG dynamics by implementing a linear macroscopic network model based on long-range axon delays. It uses a linear vector autoregressive framework with a few parameters to replicate features of real EEG data, such as resting-state alpha power and coherence.
git clone https://github.com/thatmariia/macro-eeg-model.git
cd macro-eeg-model
- On macOS:
open docs/build/html/index.html
- On Linux:
firefox docs/build/html/index.html
(replace firefox
with google-chrome
or another browser if necessary).
If running on Ubuntu, you may simply run
xdg-open docs/build/html/index.html
- On Windows:
start docs/build/html/index.html
The documentation provides all further details on how to install required packages, run the code, and access the results. Additionally, it contains the API reference.
The code is associated with the preprint "Macroscopic EEG modeling with axon propagation delays" by Mariia Steeghs-Turchina, Ramesh Srinivasan, Paul L. Nunez, and Michael Nunez.
If you use this software in your work, please cite it using the following metadata.
You can use the following BibTeX entry:
@software{Steeghs-Turchina_Macro_EEG_model_2024,
author = {Steeghs-Turchina, Mariia and Srinivasan, Ramesh and Nunez, Paul L. and Nunez, Michael},
doi = {10.5281/zenodo.13692201},
month = aug,
title = {{Macro EEG model}},
url = {https://github.com/thatmariia/macro-eeg-model},
version = {1.0},
year = {2024}
}
Or the following APA citation:
Steeghs-Turchina, M., Srinivasan, R., Nunez, P. L., & Nunez, M. (2024). Macro EEG model (Version 1.0) [Computer software]. https://doi.org/10.5281/zenodo.13692201