ABSTRACT
Neural networks attempt to construct information processing systems based upon general features observed within the field of neurophysiology. This paper provides an overview of the novel concept used as the operational basis for artificial neural cells within a commercial software library referred to as HNeT (Holographic Neural Technology). The HNeT model presents a conceptual framework in which the operations of learning, memory and attention are constrained more rigidly to single cell structures displaying the morphological structure of certain classes of cortical cells. Observation of both the structure in stellate and pyramidal cells, and the general features of intra-cortical signals, suggests the existence of a more abstract representation for information and the building of stimulus-response associations, based on the properties of complex numbers. The following provides a brief overview of some of the theoretical observations and analogies concerning the holographic model in relation to multicellular structures in the brain located in the neocortex, the cerebellum, and the visual system. The holographic neural process also presents the argument that modulation of both frequency and the amplitude envelope with regard to synaptic activation and micro tubular transmission may be important considerations in representation of stimulus-response information and their associated role in cognitive function.
