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.
Introduction to EEGLAB
Course Features
Videos
Lectures
Tutorials
Lessons of this Course
1
1
Duration:
15:32
Speaker:
This lesson introduces the EEGLAB toolbox, as well as motivations for its use.
2
2
Duration:
6:53
Speaker:
In this lesson, you will learn about the biological activity which generates and is measured by the EEG signal.
3
3
Duration:
10:56
Speaker:
This lesson goes over the characteristics of EEG signals when analyzed in source space (as opposed to sensor space).
4
4
Duration:
6:06
Speaker:
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
Speaker:
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.
