Starting from an extended nondeterministic spiking neural P system that solves the Subset
Sum problem in a constant number of computation steps, recently proposed in a previous …

In this paper we study some computational properties of spiking neural P systems. In
particular, we show that by using nondeterminism in a slightly extended version of spiking …

This paper develops a scalable system design for the creation, and delivery over the
Internet, of a realistic voice communication service for crowded virtual spaces. Examples of …

Tissue P systems with evolutional symport/antiport rules are a variant of tissue P systems,
where objects are communicated through regions by symport/antiport rules, and objects may …

Recently the possibility of using spiking neural P systems for solving computationally hard
problems has been considered. Such solutions assume that some (possibly exponentially …

In the present paper, we consider fully asynchronous parallelism in membrane computing
and propose asynchronous P systems for the following four graph problems: minimum …

Membrane computing, which is also known as a P system, is a computational model
inspired by the activity of living cells. Several P systems, which work in a polynomial number …

Membrane computing, which is a computational model based on cell activity, has
considerable attention as a new computation paradigm. In general membrane computing …

In rewriting P systems, that is P systems using structured strings instead of atomic symbols,
rules can be applied in parallel on all strings, but a single rule at a time can be applied on …

Membrane computing, which is also known as P system, is a computational model inspired
by the activity of living cells. Several efficient P systems, which work in a polynomial number …