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Building A Real-Time, Closed Loop fMRI Data Analysis System for Neuroscience Experiments

Prof. Kai Li from Princeton presented this talk at the Intel HPC Developer Conference at SC15. “Full correlation matrix analysis (FCMA) is an unbiased approach for exhaustively studying interactions among brain regions in functional magnetic resonance imaging (fMRI) data from human participants. In order to answer neuro-scientific questions efficiently, we are developing a closed-loop analysis system with FCMA on a cluster of nodes with Intel Xeon Phi coprocessors. In this talk, we will discuss our current results and future plans.”