SIMULATION MODELING OF AN ANALOGUE SPIKING NEURAL NETWORK BASED ON MEMRISTIC ELEMENTS USING PARALLEL TECHNOLOGIES

Abstract

The paper deals with the issues of simulation modeling of an analog spiking neural network based on memristive elements within the framework of the problem of recognizing a set of five images of 128 by 128 pixels in size, which involves solving more than 80 thousand differential equations.