As with any fast-emerging research front in computer science, the proliferation of theoretical
and practical results within Membrane computing since its appearance in 1998 was …

Methods for optimizing and evolving spiking neural P systems (in short, SN P systems) have
been previously developed with the use of a genetic algorithm framework. So far, these …

Dendrite P systems (DeP systems) are a recently introduced neural-like model of
computation. They provide an alternative to the more classical spiking neural (SN) P …

In this paper we present a Spiking Neural P system (SNP system) simulator based on
graphics processing units (GPUs). In particular we implement the simulator using NVIDIA …

Membrane Computing comes under the field of Natural Computing. This was introduced by
Gheorghe Paun. This field has been there from a decade. To realize Membrane Computing …

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 develop a model of the interaction of rational peers in an incentive-free peer-to-peer
(P2P) network and use game theoretic analysis to derive results about peer and network …

We use the functional programming language Haskell to design semantic interpreters for the
spiking neural P systems. Haskell provides an appropriate support for implementing the …

Abstract Following Part I—Theoretical Aspects of Spiking Neural P Systems and Part II—
Real-Life Applications of Spiking Neural P Systems, this chapter opens Part III …

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 …