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We have developed a toolbox and graphic user interface, EEGLAB, running under the
crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections
of single-trial and/or averaged EEG data of any number of channels. Available functions
include EEG data, channel and event information importing, data visualization (scrolling,
scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing
(including artifact rejection, filtering, epoch selection, and averaging), independent
component analysis (ICA) and time/frequency decompositions including channel and component
cross-coherence supported by bootstrap statistical methods based on data resampling.
EEGLAB functions are organized into three layers. Top-layer functions allow users
to interact with the data through the graphic interface without needing to use MATLAB
syntax. Menu options allow users to tune the behavior of EEGLAB to available memory.
Middle-layer functions allow users to customize data processing using command history
and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures
and stand-alone signal processing functions to write custom and/or batch analysis
scripts. Extensive function help and tutorial information are included. A 'plug-in'
facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is
freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for
noncommercial use and open source development, together with sample data, user tutorial
and extensive documentation.