The EEGLAB software
In connection with my post-doctoral position at the Salk Institute for Biological Studies in 2000, I conducted research that required the collection and analysis of EEG data. As the analysis methods I wanted to use were not accessible through commercially available software, I developed improved methods and software for processing my own EEG data. Recognizing that the challenges and limitations I faced were also limitations to expanding research programs of other researchers in my field, I made these tools available over the internet as a freely available toolbox for Matlab called the “EEGLAB toolbox.” Subsequently, I partnered with Dr. Scott Makeig of the Salk Institute, to incorporate his processing tools into EEGLAB to form a more robust and expanded version of the software. A survey conducted in 2011 concluded that EEGLAB was be the most popular software to process EEG data by a wide margin.
I also wrote most of the extensive EEGLAB tutorial and I organize the scientific programs of all EEGLAB workshop worldwide. The EEGLAB reference article was cited more than 9564 times . If you have questions about EEGLAB, please email email@example.com. To reach the official EEGLAB site, go here. The GITHUB repository is available here.
I have also lead or participated to the development of a multitude of EEG tools, which are often associated with EEGLAB as EEGLAB plugins. A non exhaustive list is shown below.
- Neurofeedbacklab, a simple neurofeedback program
- BIDS tools for Matlab, a collection of tools to import and export BIDS EEG data
- Muse Brain Display, a 3-D visualization for the Muse headband, an art project
- Dipfit, source localization plugin within EEGLAB in collaboration with R. Oostenveld
- Loretaplugin, a plugin to perform Loreta under EEGLAB
- BVA-IO, a plugin for EEGLAB to import and export brain vision analyzer files
- MFFMatlabIO, an EEGLAB plugin to import and export MFF Philips Neuro files
- Muse Monitor plugin, an EEGLAB plugin to import Muse data saved using the MuseMonitor application
 Delorme, A., Makeig, S. (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134(1), 9-21. PDF, Pubmed abstract. EEGLAB site.