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Processing Data with EEGLAB

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An introduction to processing data with EEGLAB. The rendered version of the lesson can be found here.

Episodes

# Episode Time Question(s)
1 Matlab: need to knows 30 How does one work with data in Matlab?
How to set up the paths in Matlab for EEGLAB?
2 The EEG structure elements 30 Where are the EEG properties stored in EEGLAB’s EEG structure?
How to work with the data array, events, channel coordinates, and ICA related fields?
3 Basic ERP processing 30 How is data loaded into EEGLAB’s EEG structure?
How can data be viewed from EEGLAB?
How can Event Related Potentials be generated in EEGLAB?
4 Scripting from the history 30 How can processing steps be automated from EEGLAB?
How is interactive use of EEGLAB translated to scripts?
How are scripts executed?
5 Summarizing EEG data measures across readings 30 How are group level summaries generated in EEGLAB via the STUDY structure?
How is data organized for the STUDY structure?
How to plot group level ERPs and making comparisons?
6 ICA artifact isolation (removal) 30 How can ICA be used to isolate signal from noise?
What types of EEG artifacts can be isolated with ICA?
How are ICA corrections performed?
7 ICA hypothesis testing 30 How can hypothesis testing be performed on ICs instead of scalp signals?
What tools are available for visualizing ICA ERPs?
How can we examine ICs across subjects in a group analysis?

Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the [more detailed guidelines][lesson-example] on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Please see the current list of [issues][FIXME] for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag good_first_issue. This indicates that the mantainers will welcome a pull request fixing this issue.

Maintainer(s)

Current maintainers of this lesson are

Authors

A list of contributors to the lesson can be found in AUTHORS

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