Identification by BP neural networks for signal sources produced by auditory training

Brain source localization is an important inverse problem for brain diagnosis and functional analysis. The usefulness of BPNN (back propagation neural networks) to solve this problem has been reported. A method is proposed here to identify the auditory source. Produced by training based on conventional 18 electrodes of a 10-20 system.