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Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods

An exciting avenue of neuroscientific research involves quantifying the time-varying properties of functional connectivity networks. As a result, many methods have been proposed to estimate the dynamic properties of such networks. However, one of the challenges associated with such methods involves...

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Detalhes bibliográficos
Publicado no:Front Comput Neurosci
Main Authors: Monti, Ricardo P., Lorenz, Romy, Hellyer, Peter, Leech, Robert, Anagnostopoulos, Christoforos, Montana, Giovanni
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5357637/
https://ncbi.nlm.nih.gov/pubmed/28373838
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2017.00014
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