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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
@Davi1990 Thank you so much for your hard work on this. I made some edits and went through the tutorials, that I realised the requirement.txt is missing mne installation, hence the exercise is giving an error. I wonder could you update your requirement.txt please and confirm with us. Thank you ⭐
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
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.
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