Interference Networks - a Physical , Structural and Behavioural Approach to Nerve System

Physical wave properties in nervous system offer new methodologies by contrast to artifical neural networks, especially to pattern handling networks. All information inherent a nerve impulse is only the time point the first derivative crosses zero. To change physical distances, delays or arrangement in space means for net models, to vary the most significant value, to destroy the information. It is somewhat surprising, that mathematics, medicine and neurocomputation years ago began simultaneous but different to use and to interprete the physical term 'projection'. In opposite to non-mirroring, mathematical vector-or matrix 'projections' (X => Y) a physical projection mirrors the image between source and screen in general. Neurophysiology speaks of 'projective' trajectories and maps. Known nerve maps, independent if they are feature-specific, anatomically or abstract seem to have mirroring properties. There are lots of works about brain maps and non-mirroring projections in neurocomputation. Not realizing, that this is a dangerous, wave-interferential, physical category, the term projective is missused. In neuro-physiology we find maps, that mirrors the representations between source and sink, between generator and detector field, so the well know 'Homunculus'. By analogy between neuro-physiology and physical meaning, physical wave properties in nervous system must be supposed.