https://github.com/alexenge/intro-to-eeg
Introduction to EEG analysis course using MNE-Python
https://github.com/alexenge/intro-to-eeg
cognitive-neuroscience course-materials eeg eeg-analysis mne-python psychology python
Last synced: 5 months ago
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Introduction to EEG analysis course using MNE-Python
- Host: GitHub
- URL: https://github.com/alexenge/intro-to-eeg
- Owner: alexenge
- License: cc-by-4.0
- Created: 2023-10-17T09:13:13.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-20T16:24:13.000Z (over 2 years ago)
- Last Synced: 2023-12-20T18:18:50.144Z (over 2 years ago)
- Topics: cognitive-neuroscience, course-materials, eeg, eeg-analysis, mne-python, psychology, python
- Language: Jupyter Notebook
- Homepage: https://alexenge.github.io/intro-to-eeg/
- Size: 432 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
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README
# Introduction to EEG analysis
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[](https://github.com/alexenge/intro-to-eeg/actions/workflows/deploy.yml)
[](https://creativecommons.org/licenses/by/4.0/)
This course provides a very brief introduction into analyzing electroencephalography (EEG) data.
It uses the [Python](https://www.python.org/) programming language and the [MNE-Python](https://mne.tools/stable/index.html) package for EEG analysis.
Python and MNE-Python are open source software, which means that they are free to use and co-created and constantly improved by a large community of users.
While prior programming experience is useful to follow the course materials, no specific knowledge of the Python language or MNE-Python is required.
Please visit **[alexenge.github.io/intro-to-eeg/](https://alexenge.github.io/intro-to-eeg/)** to view the course materials.