 We
develop and apply methods for extracting new information about
event-related and spontaneous brain dynamics from high-density
EEG and other brain imaging data. We have pioneered applications
of Independent Component Analysis and time/frequency analysis to
EEG, MEG, and fMRI data, and have developed and distribute the
freely available, open
source EEGLAB environment for Matlab.
Our laboratory research comprises projects in learning and
memory, emotion, reward, ambulatory EEG, social neuroscience,
music production, and real time EEG classification. We use a
256-channel Biosemi system with an original full-head cap
design. Our system also allows recording 136 channels from each
of two subjects simultaneously, with concurrent multi-channel
video and psychophysiology measures. For further information, or
to inquire about positions or collaborations, visit the
SCCN website. |
