Introductory training on using Python (and Notebooks) for magnetoencephalography (MEG) data analyses, relying heavily on MNE-Python.
This repository is intended for use in on-line Jupyter Notebook services, in order to avoid installation and compatibility issues. We are now set up to directly work in Mybinder -- just click on the Lesson link below to go! Loading can take a while, though, so please be patient.
Lesson1 The True Basics Lesson
- how to use notebooks
- introduction to Python
- using modules
- lists, arrays and indexing
- writing text output
Lesson2 First Look at MEG data and MNE
- loading raw data
- the info struct
- plotting raw data
- visualizing spectra
Lesson3 Visualize Evoked Responses
- finding events
- computing evoked responses
- visualizing and comparing evoked responses
Lesson4 ICA for artefact rejection