Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity

This paper presents a novel technique for analyzing electromagnetic imaging data obtained using the stimulus evoked experimental paradigm. The technique is based on a probabilistic graphical model, which describes the data in terms of underlying evoked and interference sources, and explicitly models the stimulus evoked paradigm. The new algorithm outperforms existing techniques on two real datasets, as well as on simulated data.