A unified Bayesian framework for MEG/EEG source imaging

This publication has 32 references indexed in Scilit:

• Multiple sparse priors for the M/EEG inverse problem
  NeuroImage, 2008
• Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods
  NeuroImage, 2007
• Variational free energy and the Laplace approximation
  NeuroImage, 2007
• Vector-based spatial–temporal minimum L1-norm solution for MEG
  NeuroImage, 2006
• MEG source localization under multiple constraints: An extended Bayesian framework
  NeuroImage, 2006
• A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity
  NeuroImage, 2006
• Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction
  NeuroImage, 2005
• Classical and Bayesian Inference in Neuroimaging: Theory
  NeuroImage, 2002
• Electromagnetic brain mapping
  IEEE Signal Processing Magazine, 2001
• Estimation in Covariance Components Models
  Journal of the American Statistical Association, 1981