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 …

Spiking neural P (SNP) systems are a class of neural-like computing models, abstracted by
the mechanism of spiking neurons. This article proposes a new variant of SNP systems …

Coupled neural P (CNP) systems are a recently developed Turing-universal, distributed and
parallel computing model, combining the spiking and coupled mechanisms of neurons. This …

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 …

Nonlinear spiking neural P (NSNP) systems are a recently developed theoretical model,
which is abstracted by nonlinear spiking mechanism of biological neurons. NSNP systems …

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 …