The present work focuses on three notions about spiking neural P systems (SN P systems),
namely normal forms, homogeneous systems, and software tools for easy access and visual …

Membrane computing as a topic in the Mathematics Subjects Classification 2020 by
Mathematical Reviews and zbMATH is a sign of maturity of this research area initiated in the …

This paper proposes a new variant of spiking neural P systems (in short, SNP systems),
nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of …

Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization
behavior observed experimentally for the cortical neurons in the visual cortex of a cat's brain …

Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP)
system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant …

Spiking neural P systems (SNP systems, in short) are a class of distributed parallel
computing systems inspired from the neurophysiological behavior of biological spiking …

Inspired by Eckhorn's neuron model that emulates a mammal's visual cortex, this paper
proposes a new kind of neural-like P system, called a coupled neural P (CNP) system. The …

Spiking neural P (SN P) systems are a class of parallel computation models inspired by
neurons, where the firing condition of a neuron is described by a regular expression …

Spiking neural P systems (SN P systems) are bio-inspired neural-like computing models,
which are obtained by abstracting the way of biological neurons' spiking and communication …

Spiking neural P systems (SN P systems) are a class of distributed and parallel neural-like
computing models, inspired from the way neurons communicate by means of spikes. In this …