A new model for simultaneous dimensionality reduction and time-varying functional connectivity estimation

标题
A new model for simultaneous dimensionality reduction and time-varying functional connectivity estimation
作者
关键词
Hidden Markov models, Covariance, Principal component analysis, Functional magnetic resonance imaging, Eigenvectors, Simulation and modeling, Permutation, Probability distribution
出版物
PLoS Computational Biology
Volume 17, Issue 4, Pages e1008580
出版商
Public Library of Science (PLoS)
发表日期
2021-04-17
DOI
10.1371/journal.pcbi.1008580

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