Scott Makeig completed a Bachelors degree, ‘Self in Experience’ at the University of California Berkeley in 1972 and a Ph.D., ‘Music Psychobiology,’ from the University of California, San Diego (UCSD) in 1985. After a year in Ahmednagar, India as an American India Foundation research fellow, he became a Psychobiologist at UCSD and then a Research Psychologist at the Naval Health Research Center, San Diego. In 1999, he moved to the Salk Institute, La Jolla as a Staff Scientist and then in 2001 to UCSD as a Research Scientist to develop the Swartz Center for Computational Neuroscience (SCCN) that he now directs. His primary research interests are in developing and applying high-resolution 3-D functional EEG imaging, and recording and analysis of concurrent high-density human EEG and behavior, termed mobile brain/body imaging (MoBI). He and colleagues pioneered the use of independent component analysis (ICA) in biomedical signal processing. SCCN continues to support and develop the open source EEGLAB software environment for electrophysiological signal processing (sccn.ucsd.edu/eeglab).
TBME, Featured ArticlesReal-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG
Tim R. Mullen, Christian Kothe, Yu Mike Chi, Alejandro Ojeda, Trevor Kerth, Scott Makeig, Tzyy-Ping Jung, Gert Cauwenberghs
In recent years, there have been significant advances in wearable, mobile, dry-electrode electroencephalography (EEG) systems. These are yielding exciting new possibilities for scientific research, clinical diagnostics and therapeutics, and brain-computer interfaces (BCI) outside the clinic or laboratory. However, these systems... Read more
Posted on 22 OCT 2015