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 …

Spiking neural P systems (SN P systems) are models of computation inspired by biological
spiking neurons. SN P systems have neurons as spike processors, which are placed on the …

Membrane computing is a branch of natural computing, investigating computational models,
called membrane systems or P systems, inspired by the structure and functioning of the …

Abstract Spiking neural P (SN P) systems are membrane computing models inspired by the
information interaction of spikes among neurons. Although real neurons have complex …

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 …

P systems have been proven to be useful as modeling tools in many fields, such as Systems
Biology and Ecological Modeling. For such applications, the acceleration of P system …

Cell-like spiking neural (cSN) P systems are a class of distributed and parallel computation
models inspired by both the way in which neurons process information and communicate to …

This paper proposes a new kind of spiking neural P systems, named as DeDSN P systems
(deep dynamic spiking neural P systems), which combines spiking neural P system (SN P …

Cell-like spiking neural P systems are a variant of standard spiking neural P systems, which
have a cell-like instead of neural-like architecture. It has been proved that cell-like spiking …

Membrane computing, a recent branch of natural computing, has been gaining momentum
attention in the last few decades due to its massive parallelism and efficient computation …