The concept of cooperation and distribution as known from grammar systems is introduced to spiking neural P systems (in short, SN P systems) in which each neuron has a finite number of sets (calledâ€¦ (More)

The paper considers spiking neural P systems (SN P systems) with cooperating rules where each neuron has a finite number of sets of rules. Each set is called a component and each rule from aâ€¦ (More)

In this paper we present the relation between Spiking Neural P (SN P) systems and Petri nets by focusing on modeling simplex stop-and-wait protocol. The SN P system for the protocol is constructedâ€¦ (More)

Spiking neural P(SN P) system with anti-spikes can encode the binary digits in a natural way using two types of objects called antispikes and spikes. In this paper we use this variant to simulateâ€¦ (More)

Spiking Neural P (SN P) system characterizes the movement of spikes among the neurons. Spikes have a similarity with tokens in Petri net where tokens (like spikes) are moved through net according toâ€¦ (More)

In this paper, we consider spiking neural P systems with antispikes. Because of the use of two types of objects, the system can encode the binary digits in a natural way and hence represent theâ€¦ (More)

In spiking neural P systems with anti-spikes, integers can be represented as the number of spikes/anti-spikes present in a neuron. Thus it is possible to represent increment, decrement, relationalâ€¦ (More)

This paper shows that deterministic P-timed Petri nets with inhibitory and test arcs can simulate an SN P system. A method is proposed to translate an SN P system into Petri net model and isâ€¦ (More)