A Parametric Empirical Bayesian Framework for the EEG/MEG Inverse Problem: Generative Models for Multi-Subject and Multi-Modal Integration

We review recent methodological developments within a parametric empirical Bayesian (PEB) framework for reconstructing intracranial sources of extracranial electroencephalographic (EEG) and magnetoencephalographic (MEG) data under linear Gaussian assumptions. The PEB framework offers a natural way t...

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Detalles Bibliográficos
Autores principales: Henson, Richard N., Wakeman, Daniel G., Litvak, Vladimir, Friston, Karl J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160752/
https://www.ncbi.nlm.nih.gov/pubmed/21904527
http://dx.doi.org/10.3389/fnhum.2011.00076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160752/
https://www.ncbi.nlm.nih.gov/pubmed/21904527
http://dx.doi.org/10.3389/fnhum.2011.00076

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