Deep Learning Meets Source Reconstruction
Marco Morik
Klaus-Robert Müller
Abstract:
Accurately analyzing both structural and functional brain data from multimodal neuroimaging is a challenge. Applying deep learning has helped to gain insight into structural relationships across brain regions and complex dynamics of cognitive states. In this brief note, we will touch upon selected recent directions of our research where machine learning techniques help to localize brain sources in EEG measurements. We owe these steps that we are summarizing mainly to activities of members of the BBCI team and their collaborators. Clearly, unavoidably and intentionally this abstract will have a high overlap to prior own contributions as it reports about and discusses these novel ideas and directions.
