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-modelDocumentation is available at thatmariia.github.io/macro-eeg-model
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.
If you use this software in your work, please cite it using the information under "Cite this repository" on the right side of the GitHub page.
If you need a version-specific citation, you can find it on Zenodo.
This project is licensed under the MIT License. See the LICENSE file for details.