Automatic decomposition of electrophysiological data into distinct nonsinusoidal oscillatory modes

Neurophysiological signals are often noisy, nonsinusoidal, and consist of transient bursts. Extraction and analysis of oscillatory features (such as waveform shape and cross-frequency coupling) in such data sets remains difficult. This limits our understanding of brain dynamics and its functional im...

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Detalles Bibliográficos
Autores principales: Fabus, Marco S., Quinn, Andrew J., Warnaby, Catherine E., Woolrich, Mark W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Physiological Society 2021
Materias:
Innovative Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794054/
https://www.ncbi.nlm.nih.gov/pubmed/34614377
http://dx.doi.org/10.1152/jn.00315.2021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794054/
https://www.ncbi.nlm.nih.gov/pubmed/34614377
http://dx.doi.org/10.1152/jn.00315.2021

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