Neuromorphic science attempts to understand the inter-connectivity and signal processing features of biological neuron assemblies.

Activities have been announced by a number of government and academic institutions regarding attempts to model neurological structure.  Most projects focus on emulation of anatomical form applying traditional connective methods; however lack the performance benefits of holographic processing and information superposition.  We believe that principles of holographic learning and superposition are of primary importance in the realization of advanced capabilities demonstrated by biology.

If you would like to further understand how HNeT interprets the science of biology, this information is summarized in the following pages.