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Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles

A recently introduced Bayesian model for magnetoencephalographic (MEG) data consistently localized multiple simulated dipoles with the help of marginalization of spatiotemporal background noise covariance structure in the analysis [Jun et al., (2005): Neuroimage 28:84–98]. Here, we elaborated this m...

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Detalhes bibliográficos
Publicado no:Hum Brain Mapp
Main Authors: Auranen, Toni, Nummenmaa, Aapo, Hämäläinen, Matti S., Jääskeläinen, Iiro P., Lampinen, Jouko, Vehtari, Aki, Sams, Mikko
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley Subscription Services, Inc., A Wiley Company 2007
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6871372/
https://ncbi.nlm.nih.gov/pubmed/17370346
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20334
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