Adding an MNE-EEG module

Title

Adding an MNE-EEG module

Topic keywords

mne

Module Description

Course Description

Topics covered will include:

loading, filtering, and inspecting raw data
working with BIDS data
epoching and artifact correction
creating and visualizing evoked responses (ERP / ERF)
contrasting evoked responses of different experimental conditions
decoding neural responses (machine learning)
performing time-frequency analysis
estimating and visualizing cortical sources (source localization)
conducting a group analysis
Permutation test and cluster correction

Key tools / technology included in this module

• Open-source
• Python-based
• Quality software (well maintained, not serving a single research project, clear feedback / bug report system)
• MNE-python

Prerequisites

Introduction to Python / previous experience with Python

Study outcomes

(https://github.com/Davi1990/mne_eeg_workshop)

Estimated study time

No response

Exercise examples

n/a

References you would like to include

No response

Things to check by the reviewers.

• Use free, open source tools.
• Python-based tool.
• Be of high quality.
• Have a broad appeal.

No repository files, tests, or entry points are named. Start by reviewing the linked mne_eeg_workshop materials and the issue's proposed MNE-Python topics; the module's placement, implementation scope, and completion criteria still need to be defined, including the unchecked quality and broad-appeal review points.