Template independent component analysis (ICA)

An exciting virtual talk by Dr. Mandy Mejia, entitled: “Template independent component analysis (ICA): Using empirical population priors to extract more accurate subject-level IC maps from fMRI data.” This talk is part of the #BSIsubspace Virtual Talk series. It is co-sponsored by the Center for Translational Research in Neuroimaging and Data Science (TReNDS, trendscenter.org/) and the Data Science Initiative, IEEE Signal Processing Society (IEEE-SPS, signalprocessingsociety.org/).