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EEGLAB
Current version: 6.01b
Release notes
Download
Three-Day EEGLAB Workshop in Chile
What is EEGLAB?
EEGLAB is an interactive Matlab toolbox for processing continuous
and event-related EEG, MEG and other electrophysiological data
using
independent component analysis (ICA),
time/frequency analysis,
artifact rejection,
and several modes of
data visualization.
First developed on Matlab 5.3 under Linux, EEGLAB runs on Matlab v5-7 under Linux, Unix, Windows, and Mac OS
(current v7 recommended).
Why EEGLAB?
EEGLAB provides an interactive graphic
user interface (GUI) allowing users to flexibly and interactively process their
high-density EEG and other dynamic brain data
using independent component analysis (ICA) and/or time/frequency analysis (TFA),
as well as standard averaging methods.
EEGLAB also incorporates extensive tutorial and help windows,
plus a command history function that eases users' transition
from GUI-based data exploration to building and running batch or custom
data analysis scripts. EEGLAB offers a wealth of
methods for visualizing and modeling event-related brain dynamics, both
at the level of individual EEGLAB datasets and/or across a collection of datasets brought together
in an EEGLAB studyset.
For experienced Matlab users, EEGLAB offers a structured programming environment
for storing, accessing, measuring, manipulating and visualizing event-related EEG data.
For creative research programmers and methods developers,
EEGLAB offers an extensible, open-source platform through which they can share
new methods with the world research community by contributing EEGLAB 'plug-in'
functions that appear automatically in the EEGLAB menu. For example, novel
EEGLAB plug-ins might be built and released to 'pick peaks' in ERP or time/frequency
results, or to perform specialized import/export, visualization, and inverse source modelling
of MEG and/or intracranial data.
EEGLAB Resources
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EEGLAB Features
- Graphic user interface
- Multiformat data importing
- High-density data scrolling
- Defined EEG data structure
- Open source plug-in facility
- Interactive plotting functions
- Semi-automated artifact removal
- ICA and time/frequency measures
- Event and channel location handling
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Search the EEGLAB web site or email discussion list archive with
EEGLAB References
Main EEGLAB reference article:
A Delorme & S Makeig. "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics," Journal of Neuroscience Methods 134:9-21 (2004)
(download preprint, .pdf, 0.7 MB).
Includes details of EEGLAB ICA and time/frequency methods.
Please cite this paper to reference EEGLAB in publications.
Browse
its citations in Google Scholar.
EEGLAB ICA and time/frequency methods introduction:
S Makeig, S Debener, J Onton, & A Delorme. Mining event-related brain dynamics, Trends in Cognitive Science, 8(5):204-210 (2004)
(download preprint, .pdf, 0.5 MB).
Summarizes benefits and pitfalls of combining ICA, time/frequency analysis, and ERP-image visualization.
Browse its citations in Google Scholar.
Some
Recent publications using EEGLAB -- Help us add others.
Browse current EEGLAB citations in Google Scholar.
Preview a planned EEGLAB head modelling plug-in (2.6MB, pdf).
EEGLAB Workshops
The
First EEGLAB Workshop
EEGLAB Workshop was held Oct. 28-30, 2004 at the San Diego Supercomputer Center, UCSD, La Jolla CA.
The
Second EEGLAB Workshop
was held September 17-19, 2005 at the University of Porto, Portugal.
The
Third EEGLAB Workshop
will be in Singapore, November 15-18, 2006.
Inquire about or help plan future workshops.
EEGLAB Statistics
EEGLAB is a collection of about 400 Matlab functions comprising a total
of 50,000 program lines, plus a 300-page EEGLAB
tutorial manual. To
our knowledge, 21 user-initiated plugins
have been developed for EEGLAB.
Researchers from at least 88 country domains have downloaded toolbox files.
Currently, EEGLAB files are downloaded 30-40 times per day,
and 2500-3000 researchers participate in the EEGLAB email discussion list.
Required Resources
Matlab 5.3 or later running under any operating system
(Linux, Windows, Unix, Macintosh).
A large amount of RAM is useful - at least 512 MB (at least 1 GB recommended
for processing more than 32 channels).
The Matlab Signal Processing toolbox is also recommended.
Although EEGLAB incorporates functions to
supplement functions from this toolbox (e.g., for filtering and power spectra), they are not as efficient.
Component clustering functions, introduced in EEGLAB 5.0b, also uses functions from the Matlab Statistics toolbox.
EEGLAB Developers and testers
The chief EEGLAB developers are
Arnaud Delorme and
Scott Makeig
Its predecessor, the ICA/EEG toolbox (1997-2001), comprised functions written by Makeig with
Colin Humphries, Sigurd Enghoff, Tzyy-Ping Jung, Te-Won Lee, and Tony Bell,
at the
Computational Neurobiology Laboratory
of Terrence J. Sejnowski at The Salk Institute, La Jolla.
The integrated EEGLAB toolbox was first written there by Delorme and Makeig
with subsequent contributions by Marissa Westerfield,
Jörn Anemüller, Luca Finelli, Robert Oostenveld, Hilit Serby,
Toby Fernsler, and many others. Dedicated beta testers involve Andreas Romeyke (and his team) who have developped a testsuite for EEGLAB but also advanced users such as Rael Cahn, Peter Ullsberger, Stefan Debener, Elizabeth Milner. EEGLAB development is now centered at the
Swartz Center for Computational
Neuroscience (SCCN)
of the Institute for Neural Computation at the
University of California San Diego (UCSD) in collaboration with the CNRS CERCO laboratory in France.
We welcome working with users and open source developers
to develop and improve EEGLAB functions and plug-in facilities.
Ongoing Development
EEGLAB is under active open-source development.
Together with its user/developers, we are extending its capabilities to include resources
including across-subject statistics and component clustering, cluster computing, and component source localization.
User-contributed features and suggestions are welcome (see Add to EEGLAB).
We plan to interconnect EEGLAB with
FMRLAB,
a parallel toolbox for processing fMRI data,
to facilitate analysis of concurrent EEG/fMRI data.
To make suggestions or participate in open-source development, email us at eeglab@sccn.ucsd.edu.
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