Math Model of Neuron and Nervous System Research Based on AI Constructor Creating Virtual Neural Circuits

Math Model of Neuron and Nervous System Research Based on AI Constructor Creating Virtual Neural Circuits

Rinat Galiautdinov (Independent Researcher, Italy) and Vardan Mkrttchian (HHH University, Australia)
DOI: 10.4018/978-1-7998-1581-5.ch015

Abstract

The research describes the mathematical modeling of a neuron and the possibility of its technical implementation. Unlike existing technical devices for implementing a neuron based on classical nodes oriented to binary processing, the proposed path is based on bit-parallel processing of numerical data (synapses) for obtaining result. The proposed approach of implementing a neuron can serve as a new elementary basis for the construction of neuron-based computers with a higher processing speed of biological information and good survivability. The research demonstrates the developed nervous circuit constructor and its usage in building of the nervous circuits of biological creatures and simulation of their work.
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Artificial Neuron

The artificial or programming neuron used in Computer Science partially simulates the biological neuron. Such the artificial neuron receives the number of the signals as the input data and each of these signals is in fact the output of another neuron. Each input gets multiplied by the appropriate weight(simulating the synaptic strength) then we can sum all the values and define the level of neuron activation. The final result of this operation would be either 0 or 1.

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