Scott Makeig, Ph.D.
Research Scientist & Director,
Swartz Center for Computational Neuroscience (SCCN)
Institute for Neural Computation (INC)
University of California San Diego (UCSD)
La Jolla CA 92093-0559


My primary research interest is in analysis and modeling of human cognitive event-related brain dynamics as captured by high-dimensional EEG, MEG and other imaging modalities including simultaneous eye tracking and body motion capture, an approach I have termed mobile brain/body imaging (MoBI).

Brain imaging analysis approaches I and colleagues have pioneered include time-frequency analysis, independent component analysis (ICA), and neural network and machine learning methods. With Mark Inlow, Tzyy-Ping Jung and others, I have studied the dynamics of performance and electrophysiology accompanying alertness lapses during sustained monitoring tasks, and have used the results of this research to design real-time alertness monitoring systems, an example of the rapidly emerging field of neural human-system interface technology. I was the originator and remain the PI and co-developer with Arnaud Delorme of the widely used EEGLAB signal processing environment for MATLAB.

Currently, I am working to apply Independent Component Analysis to EEG and related data to open new windows for noninvasive observation of the relationship between brain dynamics, cognition, and behavior -- in effect working to develop a new brain imaging modality that I call Mobile Brain/Body Imaging (MoBI).

I direct the Swartz Center for Computational Neuroscience of the Institute for Neural Computation, UCSD, now housed in a suite of new offices and laboratories in the Supercomputer Center building on the UCSD campus. I have begun working with clinical researchers to apply the advances in functional EEG-based imaging to medical research and clinical practice, and am looking to expand studies of emotional communication through music and gesture, and direct a new multi-campus University of California initiative, UC MERCI (UC 'Music Experience Research Community Initiative') to bring together and promote research on music, mind, brain, and body

At SCCN we are looking to continue to build collaborations with researchers wanting to apply new analysis methods to EEG and multimodality cognitive neuroscience imaging data, as well as with physicists, engineers, and mathematicians modeling the distributed human brain dynamics underlying brain cognitive capacities including attention, memory, decision-making, emotion, social interaction and creativity including musical expression.

Current projects include MoBI (EEG + body motion capture) and EEG correlates of emotion, social neuroscience, reward, musical experience, and insight, as well as advanced EEG source localization and imaging methods development.

Swartz Center for Computational Neuroscience
Institute for Neural Computation
University of California San Diego 0559
9500 Gilman Drive, La Jolla CA 92093-0559
(858) 822-7539

My scientific publications
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a widely-used environment for electrophysiological signal processing and visualization under Matlab including independent component analysis

My scientific citations
in Google Scholar

Selected Publications and Presentations

Some earlier work on EEG-based alertness monitoring