Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling

Complex thought and behavior arise through dynamic recruitment of large-scale brain networks. The signatures of this process may be observable in electrophysiological data; yet robust modeling of rapidly changing functional network structure on rapid cognitive timescales remains a considerable chall...

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Detalles Bibliográficos
Autores principales: Quinn, Andrew J., Vidaurre, Diego, Abeysuriya, Romesh, Becker, Robert, Nobre, Anna C., Woolrich, Mark W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121015/
https://www.ncbi.nlm.nih.gov/pubmed/30210284
http://dx.doi.org/10.3389/fnins.2018.00603

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121015/
https://www.ncbi.nlm.nih.gov/pubmed/30210284
http://dx.doi.org/10.3389/fnins.2018.00603

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