ABSTRACT
Biophysical ANN models implemented for pattern recognition purposes by hybrid optoelectronic neural technologies have to transduce by adaptive filter coupling the information carried by photons and detected as photonic bombardments by the retinal receptor multi-input array into the combined phase and amplitude information transmitted by stimulus-evoked coherent neural wavelets. Indeed, several independent lines of experimental evidence concerning the structure of neural information processing to resolve the superposition problem, the constraints of neural signal transmission, and conditions of use-dependent synaptic plasticity lead to the postulate of temporal coding of neural activity, and to the significance of cooperative phase-linked synchrony at a millisecond time scale. Neural signaling is primarily operating by means of electromagnetic transmission. Physically, the theories that as of today ultimately describe electromagnetic signal propagation are quantum mechanics and quantum field theory. It is another purpose of this paper to mathematically describe the basically quantum mechanical transformation from imaging to adaptive signal processing going on in corticallinking neural network models, along with synaptic plasticity. Thus ANN theory opens a novel pathway to the world of quantum neurodynamics. This approach which is based on the modeling of highly nonlinear dynamical systems by circle maps is a converse to the current tendency to recast quantum physics in terms of information theory with the goal to include semantics and finally to include phenomenal consciousness into quantum physics.
