Modeling Uncertainties in EEG Microstates: Analysis of Real and Imagined Motor Movements Using Probabilistic Clustering-Driven Training of Probabilistic Neural Networks

Part of the process of EEG microstate estimation involves clustering EEG channel data at the global field power (GFP) maxima, very commonly using a modified K-means approach. Clustering has also been done deterministically, despite there being uncertainties in multiple stages of the microstate analy...

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Detalles Bibliográficos
Autores principales: Dinov, Martin, Leech, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671986/
https://www.ncbi.nlm.nih.gov/pubmed/29163110
http://dx.doi.org/10.3389/fnhum.2017.00534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671986/
https://www.ncbi.nlm.nih.gov/pubmed/29163110
http://dx.doi.org/10.3389/fnhum.2017.00534

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