Scott Makeig, Ph.D.

 

Research Scientist & Director,
Swartz Center
for Computational Neuroscience

Institute for Neural Computation
University of California San Diego
La Jolla CA 92093-0961
           

 

 

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 now including body motion capture.

Brain imaging analysis approaches I and colleagues have pioneered include time-frequency analysis and 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.

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 I call Mobile Brain/Body Imaging (MoBI).

I direct the Swartz Center for Computational Neuroscience of the Institute for Neural Computation, UCSD. The Center is housed in a suite of offices at the edge of the UCSD campus and includes EEG laboratory space and a computing cluster and network.

We are looking to build collaborations with researchers wanting to apply new analytic methods to EEG, fMRI and other types of cognitive neuroscience data, as well as with physicists, engineers, and mathematicians wanting to model human brain dynamics underlying brain cognitive capacities, including attention, memory, emotion, social interaction and creativity.

Current projects include concurrent EEG/fMRI, EEG/motion capture, EEG/emotions, EEG/social neuroscience, EEG/insight, advanced ICA-based source localization and imaging, and EEG/cognitive monitoring and biofeedback.

   Contact:

smakeigucsd.edu
Swartz Center for Computational Neuroscience
Institute for Neural Computation
University of California San Diego 0961
La Jolla CA 92093-0961
(858) 458-1927 x11
(858) 458-1847 fax

Scientific Publications
Browse & Download

Download an
ICA demo in Powerpoint
multimedia, executable

Q&A on ICA/ERPs
Q&A on ICA/fMRI


Download
EEGLAB


a GUI-based Matlab toolbox for independent component analysis,
time/frequency analysis,
EEG data manipulation
and visualization.
Includes Matlab and binary
'runica' for performing
infomax ICA.


Current Abstracts
Browse & Download

Download a
Compensatory Tracking Task (CTT) for monitoring alertness,
including the executable and (Borland C++) source code (524 KB .zip), WARNING: Timing and performance may be unreliable on post-1996 Windows or PCs! plus the
CTT task technical report (250KB pdf).

Selected Publications and Presentations

Workshops:
  • SPR '00 Symposium: New insights into human brain dynamics
  • SPR '96 Symposium: Time-frequency analysis of event-related brain dynamics
  • NIPS '95 Workshop: Neural human-system interface technology
  • More:
  • Frequently Asked Questions about ICA applied to EEG/MEG data.
  • List of CNL publications on ICA applied to EEG and fMRI data
  • ICA research at Computational Neurobiology Laboratory, Salk Institute
  • Sorry, you need a gif viewer to see this plot...
    About EEG-based alertness monitoring ...