EEGLAB

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title: "EEGLAB" type: doc version: 1 created: 2026-02-28 author: "Wikipedia contributors" status: active scope: public tags: ["free-mathematics-software", "magnetoencephalography", "electroencephalography"] topic_path: "science/mathematics" source: "https://en.wikipedia.org/wiki/EEGLAB" license: "CC BY-SA 4.0" wikipedia_page_id: 0 wikipedia_revision_id: 0

EEGLAB is a MATLAB toolbox distributed under the free BSD license for processing data from electroencephalography (EEG), magnetoencephalography (MEG), and other electrophysiological signals. Along with all the basic processing tools, EEGLAB implements independent component analysis (ICA), time/frequency analysis, artifact rejection, and several modes of data visualization. EEGLAB allows users to import their electrophysiological data in about 20 binary file formats, preprocess the data, visualize activity in single trials, and perform ICA. Artifactual ICA components may be subtracted from the data. Alternatively, ICA components representing brain activity may be further processed and analyzed. EEGLAB also allows users to group data from several subjects, and to cluster their independent components.

History

In 1997, a set of data processing functions was first released on the Internet by Scott Makeig in the Computational Neurobiology Laboratory directed by Terry Sejnowski at the Salk Institute, under the name "the ICA/EEG toolbox". In 2000, Arnaud Delorme designed a graphical user interface on top of these functions along with some of his artifact removal functions, and released the first version of the "EEGLAB software for artifact removal". In 2003, Delorme and Makeig joined efforts to release the first stable and fully documented version of EEGLAB. In 2004, EEGLAB was awarded funding by the NIH for continued development of research software.

References

References

  1. "EEGLAB".
  2. (March 2004). "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis". Journal of Neuroscience Methods.
  3. (2004). "Mining event-related brain dynamics". Elsevier BV.
  4. (1998). "Central Auditory Processing and Neural Modeling". Springer US.
  5. (2012-02-15). "Independent EEG Sources Are Dipolar". Public Library of Science (PLoS).

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free-mathematics-softwaremagnetoencephalographyelectroencephalography