Spiking neural P systems (in short, SN P systems) are parallel models of computations inspired by the spiking ( ring) of biological neurons. In SN P systems, neurons function as spike processors and are placed on nodes ...

Spiking neural P (in short, SNP) systems are computing devices inspired by biological spiking neurons. In this work we consider SNP systems with structural plasticity (in short, SNPSP systems) working in the asynchronous ...

Spiking neural P systems (in short, SNP systems) are membrane computing models inspired by the pulse coding of information in biological neurons. SNP systems with standard rules have neurons that emit at most one spike ...

P systems are a new class of distributed parallel computing models. In this paper, a novel three-level thresholding approach for image segmentation based on celllike P systems is proposed in order to improve the computational ...

We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neural P system (SNP system) using graphics processing units (GPUs). GPUs, because of their architectural optimization for ...

P systems with active membranes is a well developed framework in the eld of Membrane Computing. Using evolution, communication, dissolution and division rules, we know that some kinds of problems can be solved by those ...

In this work, we present the building of two well-known membrane com- puters (squares generator and divisor test). Although they are very basic machines they present problems common to every P system (competition, parallel ...

In this report, we present our initial proposal on simulating computations on a restricted variant of Evolution-Communication P system with energy (ECPe system) which will then be implemented in Graphics Processing Units ...

This paper develops a membrane-inspired evolutionary algorithm, PSMA, which is designed by using a population P system and a quantum-inspired evolutionary algorithm (QIEA). We use a population P system with three cells ...