Bayesian M/EEG source reconstruction with spatio-temporal priors-Reference-Cited by-同舟云学术

Bayesian M/EEG source reconstruction with spatio-temporal priors

Published:2008-01 Issue:1 Volume:39 Page:318-335
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Trujillo-Barreto Nelson J.,Aubert-Vázquez Eduardo,Penny William D.

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference50 articles.

1. Bayesian analysis of the neuromagnetic inverse problem with lp norm priors;Auranen;NeuroImage,2005

2. A Bayesian approach to introducing anatomofunctional priors in the EEG/MEG inverse problem;Baillet;IEEE Trans. Biomed. Eng.,1997

3. Electromagnetic brain mapping;Baillet;IEEE Signal Process. Mag.,2001

4. Beal, M., 2003. Variational algorithms for approximate Bayesian inference. PhD thesis, Gatsby Computational Neuroscience Unit, University College London.

5. Localization error in biomedical imaging;Biscay-Lirio;Comput. Biol. Med.,1992

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