Spiking neural P systems (SN P systems) are a new class of computing models inspired by
the neurophysiological behavior of biological spiking neurons. In order to make SN P …

Spiking neural P systems are computing models inspired from the way the neurons
communicate by means of spikes, electrical impulses of identical shapes. In this note we …

Spiking neural P systems (SN P systems, for short) are a class of distributed parallel
computing devices inspired from the way neurons communicate by means of spikes, where …

We bring together two topics recently introduced in membrane computing, the much
investigated spiking neural P systems (in short, SN P systems), inspired from the way the …

Fuzzy spiking neural P systems (in short, FSN P systems) are a novel class of distributed
parallel computing models, which can model fuzzy production rules and apply their dynamic …

Membrane systems are a new class of distributed and parallel model of computation
inspired by the subdivision of living cells into compartments delimited by membranes. Their …

This paper discusses the application of weighted fuzzy reasoning spiking neural P systems
(WFRSN P systems) to fault diagnosis in traction power supply systems (TPSSs) of China …

This paper proposes a temporal fuzzy reasoning spiking neural P system with real numbers
(rTFRSN P system) and its corresponding fault diagnosis method called FDTSNP to …

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 …

This paper discusses the application of fuzzy reasoning spiking neural P systems with real
numbers (rFRSN P systems) to fault diagnosis of electric locomotive systems. Relationships …