Implementation of Bernstein's method in neuromorphic systems for the execution of spiking neurons

The continuous advancement of technology has made it possible to significantly increase the number of processors in an integrated circuit, although this brings new challenges. In this article, he will suggest an innovative technology called the neuromorphic system based on pulse neural networks (SNNs) inspired by the human brain. SNNs are artificial networks that mimic the synapses and behavior of biological neurons, firing pulses when input exceeds a set threshold.This paper proposes implementing parallel executions in the neuromorphic system (NS). To validate this execution, Bernstein's method will be used to know which executions are made in parallel in the SN. The results reveal which parallel executions between artificial neurons are carried out to access shared memory. Similar challenges are identified in resolving the variables towards shared memory access, a key area for future research and optimizations.