@article{ec8f43d5e37948008098ab4ac3824ac6,
title = "Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits",
keywords = "Nonlinear spatial independent component analysis (sICA), Local space-contrastive learning (LSCL), Unsupervised deep learning, Temporal primitives, Resting-state functional magnetic resonance imaging (fMRI), Behavioral traits, INDEPENDENT COMPONENT ANALYSIS, DYNAMIC FUNCTIONAL CONNECTIVITY, BRAIN CONNECTIVITY, STATE FMRI, FLUCTUATIONS, STIMULUS, ORGANIZATION, RESPIRATION, NETWORKS, PATTERNS, 113 Computer and information sciences",
author = "Hiroshi Morioka and Vince Calhoun and Aapo Hyvarinen",
year = "2020",
month = sep,
doi = "10.1016/j.neuroimage.2020.116989",
language = "English",
volume = "218",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
}