The scalable spiking neural network automatic generation in MATLAB focused on the hardware implementation

Abstract

In article development of the program in the environment of MATLAB is considered. The program allows to generate spiking neural networks with the given scale. In article the problem of use of dynamic memory in the generated spiking neural network for a possibility of direct transfer on microprocessor or microcontroller systems is considered. Examples of practical implementation of the program are given. Results of work of the program are presented in the form of the generated spiking neural networks of the given scale. This program will be used for development, realization and programming of intelligent autonomous navigation systems for robotic objects control.