Analysing MEG-data by a combination of different neural networks
Markus Borschbach, W.-M. Lippe, Cornelia Mertens, Steffen Niendieck · Asia-Pacific Bioinformatics Conference · 2003
The localization of intracerebral dipole sources for detecting pathological events is one object of magnetoencephalography (MEG). Another one is the analysis of brain processing and brain structures. We present a system consisting of two different types of Artificial Neural Networks. One for the separation of temporally overlapping sources and the other one for the determination of the different magnetic dipoles.1