UC San Diego

Dr. Scott Makeig
Swartz Center for Computational Neuroscience
 

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.