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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

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Introduction to EEG analysis course using MNE-Python

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# Introduction to EEG analysis

[![Python](https://img.shields.io/badge/🐍-Python-blue)]()
[![Jupyter Book Badge](https://jupyterbook.org/badge.svg)]()
[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/alexenge/intro-to-eeg/deploy.yml)](https://github.com/alexenge/intro-to-eeg/actions/workflows/deploy.yml)
[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](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.