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The brain is an incredibly complex organ of interrelated structural and functional connectivity. Data-driven analysis methods, such as ICA, have proven very useful in the study of brain function, in particular when the dynamics are hard to model and underlying assumptions about the data have to be minimized. We work on the development of a rich array of methods to analyze and to fuse the information from multiple modalities so as to understand the brain function in both the healthy and the diseased brain.

For more information, please see http://mlsp.umbc.edu/research_projects.html