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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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 |