Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials

We present a methodology of classificatory decomposition of signals. One of the main advantages of our approach is the fact that rather than solely relying on often unrealistic assumptions about statistical independence of sources, components are generated in the light of a underlying classification problem itself.