Dr. Makeig, Research Scientist and Director of the Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSD. Dr. Makeig’s research focuses on 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. Dr. Makeig and his colleagues have pioneered brain imaging analysis approaches which include time-frequency analysis, independent component analysis (ICA), and neural network and machine learning methods. Dr. Makeig was the originator and remains the PI and co-developer with Arnaud Delorme of the widely used EEGLAB signal processing environment for MATLAB. He is currently 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 which he refers to as Mobile Brain/Body Imaging (MoBI).
Topic: Advancing in EEG Imaging