Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data

Unsupervised, data-driven methods are commonly used in neuroscience to automatically decompose data into interpretable patterns. These patterns differ from one another depending on the assumptions of the models. How these assumptions affect specific data decompositions in practice, however, is often...

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Detalles Bibliográficos
Autores principales: Masaracchia, Laura, Fredes, Felipe, Woolrich, Mark W., Vidaurre, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Physiological Society 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625837/
https://www.ncbi.nlm.nih.gov/pubmed/37403598
http://dx.doi.org/10.1152/jn.00054.2023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625837/
https://www.ncbi.nlm.nih.gov/pubmed/37403598
http://dx.doi.org/10.1152/jn.00054.2023

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