Inferences about Sources of Neuromagnetic Fields Using Bayesian Parameter Estimation

摘要

The basic concepts of Bayesian statistical inference are reviewed emphasizing their application to neuromagnetism. The simulation experiments show that meaningful information about the current sources underlying observed neuromagnetic signals can be obtained by studying the a posteriori probability density function for the source model parameters.