A deep learning method (CMNE) that predicts source activity from past MEG/EEG estimates and fuses the prediction with a dSPM estimate yields more focal source reconstructions in simulations and one human auditory experiment.
Hierarchical Bayesian Estimates of Distributed MEG Sources: Theoretical Aspects and Comparison of Variational and MCMC Methods
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Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks
A deep learning method (CMNE) that predicts source activity from past MEG/EEG estimates and fuses the prediction with a dSPM estimate yields more focal source reconstructions in simulations and one human auditory experiment.