electrophysiological data analysis

This is sofwware for processing continuous or event-related EEG or other physiological data. It is designed for use by both novice and expert users. In normal use, the EEGLAB graphic interface calls graphic functions via pop-up function windows. The EEGLAB history mechanism can save the resulting calls to disk for later incorporation into scripts.

This package provides EEGLAB to be used with Matlab. Note that this package depends on Matlab – a commercial software that needs to be obtained and installed separately.

Related packages: eeglab11-sampledata

User registration

The software authors ask users to register. Available user statistics may be helpful to acquire funding for this project and therefore foster continued development in the future.

Additional information
  • Delorme A, Makeig S (2004). EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics. Journal of Neuroscience Methods 134:9-21.

Maintainer information

This software package is maintained for (Neuro)Debian by the follow individuals and/or groups:

Maintainer avatar
NeuroDebian Maintainers
Maintainer avatar
Michael Hanke
Maintainer avatar
Yaroslav Halchenko

In order to get support, or to get in touch with a maintainer, please click the ‘Help’ button at the top of the page.

Advanced user information

Version control system available: Browse sources

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 6.0 (squeeze) i386, amd64, sparc
Debian GNU/Linux 7.0 (wheezy) i386, amd64, sparc
Debian GNU/Linux 8.0 (jessie) i386, amd64, sparc
Debian testing (stretch) i386, amd64, sparc
Debian unstable (sid) i386, amd64
Ubuntu 10.04 LTS “Lucid Lynx” (lucid) i386, amd64
Ubuntu 12.04 LTS “Precise Pangolin” (precise) i386, amd64, sparc
Ubuntu 14.04 “Trusty Tahr” (trusty) i386, amd64, sparc
Ubuntu 14.10 “Utopic Unicorn” (utopic) i386, amd64, sparc
Ubuntu 15.04 “Vivid Vervet” (vivid) i386, amd64, sparc
The source code for this portal is licensed under the GPL-3 and is available on GitHub.