Bio-mimetic approach in digital artificial neuro-science

This paper presents a new field of artificial neuro-science, providing a group of mathematical relations and functional algorithms used to operate and improve Digital Artificial Neural Network models. It introduces all the main properties and characteristics of the digital artificial neurons by providing a modern platform of design and implementation of these intelligent artificial organisms. The modern digital design is initialized by a reservation of memory registers to hold the inputs, outputs and weights. A sequence of binary equivalence comparison operations of the inputs and weights is executed to deliver the required outputs as declared. This novel process provides a mere design and learning road-map to the designer, leading to a massive practice in artificial neural networks.