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个人简介
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 that 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 now housed in a suite of offices and laboratories in the Supercomputer Center building on the UCSD campus
We are looking to build collaborations with researchers wanting to apply new analytic methods to EEG 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 MoBI (EEG + body motion capture) and EEG correlates of emotion, social neuroscience, reward, and insight, as well as advanced source localization and imaging and EEG-based brain-computer interface design, particularly for cognitive monitoring and biofeedback.
研究兴趣
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Christian Kothe, Seyed Yahya Shirazi,Tristan Stenner, David Medine, Chadwick Boulay, Matthew I Grivich,Tim Mullen,Arnaud Delorme,Scott Makeig
bioRxiv : the preprint server for biology (2024)
BRAIN TOPOGRAPHYno. 4 (2019)
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