Diagnostics of the brain neural-ensemble states using MEG records and artificial neural-network concepts

We propose a method for the diagnostics of human brain states using MEG records and an artificial neural-network apparatus. It is shown that this approach allows various states of the human brain to be classified in the case of making decisions related to the perception of visual stimuli.