Over the years, spiking neural P systems (SNPS) have grown into a popular model in
membrane computing because of their diverse range of applications. In this paper, we give a …

Asymmetric cryptographic systems are often more complex and require more computational
power than symmetric systems. This is why they might be implemented using …

With the advancement of technologies it is becoming imperative to have a stable, secure
and uninterrupted supply of power to electronic systems as well as to ensure the …

We present an implementation of an improved adder via a spiking neural P system. Our
adder processes arbitrary length binary numbers, and thus, is suitable for cryptographic …

Spiking neural P systems with communication on request (SNQP systems) are neurally
inspired computing devices, where a neuron actively seeks spikes from presynaptic neurons …

The spiking neural P systems (SNP systems) research area is a typical one for bioinspired
branches of computer science, illustrating many more general features of this scientific …

We further develop water computing as a variant of P systems. We propose an improved
modular design, which duplicates the main water flows by associated control flows. We first …

We further the work on a recently proposed membrane computing model which utilises
decentralised water tanks interconnected by pipes with water flow controlled by valves …

This chapter is dedicated to the hardware used in simulating SNP systems and their
variants. Specifically, the main focus is on two of the most common types of parallel …

Non-determinism and large-scale parallelism are the two characteristics of biological and
ecological systems which are transmitted to bio-inspired computing models enlightened by …