The use of neural networks in EEG analysis

There is little doubt that, if appropriately used, artificial `neural´ networks (ANNs) offer a robust method for estimation, prediction and classification. Their application to EEG analysis is well-founded. Care must, however, be taken in the choice of pre- and post-processors. Although the use of ANNs does not offer a solution to some of the problems encountered in EEG analysis, the authors would argue that used as methods for providing a continuous measure of a system´s state, in a probabilistic framework, they provide information which is lost in more traditional analysis methods