Parametrizing the Conditionally Gaussian Prior Model for Source Localization with Reference to the P20/N20 Component of Median Nerve SEP/SEF

In this article, we focused on developing the conditionally Gaussian hierarchical Bayesian model (CG-HBM), which forms a superclass of several inversion methods for source localization of brain activity using somatosensory evoked potential (SEP) and field (SEF) measurements. The goal of this proof-o...

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Detalles Bibliográficos
Autores principales: Rezaei, Atena, Antonakakis, Marios, Piastra, MariaCarla, Wolters, Carsten H., Pursiainen, Sampsa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761863/
https://www.ncbi.nlm.nih.gov/pubmed/33287441
http://dx.doi.org/10.3390/brainsci10120934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761863/
https://www.ncbi.nlm.nih.gov/pubmed/33287441
http://dx.doi.org/10.3390/brainsci10120934

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