mne · PyPI Documentation for MNE-Python encompasses installation instructions, tutorials, and examples for a wide variety of topics, contributing guidelines, and an API reference
MEG and EEG data analysis with MNE-Python - PMC MNE-Python is a sub-project of the more general academic software package MNE (Gramfort et al , 2013a), whose goal is to implement and provide a set of algorithms allowing users to assemble complete data analysis pipelines that encompass most phases of M EEG data processing
Introduction to MNE-Python In this workshop, we will analyze EEG data in Python We will use MNE-Python, which is currently the largest and most popular Python package for EEG MEG analysis Using real-world EEG data, we will investigate both induced and evoked activity
Tutorials — MNE 0. 14. 1 documentation Once you have Python and MNE-Python up and running, you can use these tutorials to get started processing MEG EEG You can find each step of the processing pipeline, and re-run the Python code by copy-paste
Tutorials — MNE 1. 10. 2 documentation These tutorials provide narrative explanations, sample code, and expected output for the most common MNE-Python analysis tasks The emphasis here is on thorough explanations that get you up to speed quickly, at the expense of covering only a limited number of topics