Non-Gaussian probabilistic MEG source localisation based on kernel density estimation()

There is strong evidence to suggest that data recorded from magnetoencephalography (MEG) follows a non-Gaussian distribution. However, existing standard methods for source localisation model the data using only second order statistics, and therefore use the inherent assumption of a Gaussian distribu...

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Detalles Bibliográficos
Autores principales: Mohseni, Hamid R., Kringelbach, Morten L., Woolrich, Mark W., Baker, Adam, Aziz, Tipu Z., Probert-Smith, Penny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273612/
https://www.ncbi.nlm.nih.gov/pubmed/24055702
http://dx.doi.org/10.1016/j.neuroimage.2013.09.012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273612/
https://www.ncbi.nlm.nih.gov/pubmed/24055702
http://dx.doi.org/10.1016/j.neuroimage.2013.09.012

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