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Modelling state‐transition dynamics in resting‐state brain signals by the hidden Markov and Gaussian mixture models

Recent studies have proposed that one can summarize brain activity into dynamics among a relatively small number of hidden states and that such an approach is a promising tool for revealing brain function. Hidden Markov models (HMMs) are a prevalent approach to inferring such neural dynamics among d...

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Detalles Bibliográficos
Autores principales: Ezaki, Takahiro, Himeno, Yu, Watanabe, Takamitsu, Masuda, Naoki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291560/
https://www.ncbi.nlm.nih.gov/pubmed/34250639
http://dx.doi.org/10.1111/ejn.15386