Matrix representations of spiking neural P systems: Revisited

TL;DR

This paper revisits matrix representations of spiking neural P systems, analyzing their computational behavior and proposing improvements for systems with delays, enhancing simulation accuracy.

Contribution

It provides new insights into the behavior of SN P systems' computations and proposes a better method for computing next configurations with delays.

Findings

Enhanced understanding of SN P systems' computational behavior

Proposed improved method for configuration computation with delays

Insights into reachability of configurations

Abstract

In the 2010, matrix representation of SN P system without delay was presented while in the case of SN P systems with delay, matrix representation was suggested in the 2017. These representations brought about series of simulation of SN P systems using computer software and hardware technology. In this work, we revisit these representation and provide some observations on the behavior of the computations of SN P systems. The concept of reachability of configuration is considered in both SN P systems with and without delays. A better computation of next configuration is proposed in the case of SN P system with delay.