Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data

The identification of important features in multi-electrode recordings requires the decomposition of data in order to disclose relevant features and to offer a clear graphical representation. This can be a demanding task. Parallel Factor Analysis (PARAFAC; Hitchcock, 1927; Carrol and Chang, 1970; Ha...

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Detalles Bibliográficos
Autores principales: Schmitz, S. Katharina, Hasselbach, Philipp P., Ebisch, Boris, Klein, Anja, Pipa, Gordon, Galuske, Ralf A. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311613/
https://www.ncbi.nlm.nih.gov/pubmed/25688205
http://dx.doi.org/10.3389/fninf.2014.00084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311613/
https://www.ncbi.nlm.nih.gov/pubmed/25688205
http://dx.doi.org/10.3389/fninf.2014.00084

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