Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian

5 Jun 2019Cong YeKonstantinos SlavakisPratik V. PatilSarah F. MuldoonJohn Medaglia

Recent advances in neuroscience and in the technology of functional magnetic resonance imaging (fMRI) and electro-encephalography (EEG) have propelled a growing interest in brain-network clustering via time-series analysis. Notwithstanding, most of the brain-network clustering methods revolve around state clustering and/or node clustering (a.k.a... (read more)

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