Data

Tools

Indexes

Applications

Experiments

Open Source Science

macro-eeg-model

Macroscopic EEG modeling with axon propagation delays

https://github.com/thatmariia/macro-eeg-model

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Macroscopic EEG modeling with axon propagation delays

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 4
Created over 1 year ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

macro-eeg-model

Macroscopic EEG modeling with axon propagation delays

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.

Getting started

Clone the repository and navigate to the root folder:

sh git clone https://github.com/thatmariia/macro-eeg-model.git cd macro-eeg-model

Open the documentation:

GitHub Pages

Documentation 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.

Citation

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.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Owner

  • Name: Mariia Steeghs-Turchina
  • Login: thatmariia
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Steeghs-Turchina"
  given-names: "Mariia"
  orcid: "https://orcid.org/0000-0002-0852-4752"
- family-names: "Srinivasan"
  given-names: "Ramesh"
- family-names: "Nunez"
  given-names: "Paul L."
- family-names: "Nunez"
  given-names: "Michael"
  orcid: "https://orcid.org/0000-0002-9965-6282"
title: "Macro EEG model"
doi: 10.5281/zenodo.13594675
url: "https://github.com/thatmariia/macro-eeg-model"

GitHub Events

Total
  • Release event: 3
  • Delete event: 5
  • Push event: 30
  • Pull request event: 3
  • Create event: 5
Last Year
  • Release event: 3
  • Delete event: 5
  • Push event: 30
  • Pull request event: 3
  • Create event: 5

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • thatmariia (2)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • PyYAML ==6.0.1
  • Sphinx ==8.0.
  • alphawaves ==0.5
  • bottleneck ==1.3.6
  • colorednoise ==2.2.
  • furo ==2024.8.
  • matplotlib ==3.9.
  • mne ==0.24.
  • myst-parser ==4.0.
  • numpy ==1.26.
  • pandas ==2.2.
  • scipy ==1.13.
  • seaborn ==0.13.
  • sphinx-autoapi ==3.2.
  • sphinx-book-theme ==1.1.
  • sphinx-copybutton ==0.5.
  • sphinx_collapse ==0.1.
  • tqdm ==4.66.
setup.py pypi