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Introduction to EEGLAB

EEGLAB is an interactive MATLAB toolbox for processing continuous and event-related EEG, MEG, and other electrophysiological data. In this course, you will learn about features incorporated into EEGLAB, including independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. EEGLAB runs under Linux, Unix, Windows, and Mac OS X.

Course Features
Videos
Lectures
Tutorials
Lessons of this Course
1
1
Duration:
15:32

This lesson introduces the EEGLAB toolbox, as well as motivations for its use.

2
2
Duration:
6:53

In this lesson, you will learn about the biological activity which generates and is measured by the EEG signal.

3
3
Duration:
10:56

This lesson goes over the characteristics of EEG signals when analyzed in source space (as opposed to sensor space). 

4
4
Duration:
6:06

This lesson describes the development of EEGLAB as well as to what extent it is used by the research community.

5
5
Duration:
9:20

This lesson provides instruction as to how to build a processing pipeline in EEGLAB for a single participant. 

6
6
Duration:
10:55

Whereas the previous lesson of this course outlined how to build a processing pipeline for a single participant, this lesson discusses analysis pipelines for multiple participants simultaneously.