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 Systems are Neural System models characterized by the fact that each
neuron mimics a biological cell and the communication between neurons is based on …

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

Spiking neural P (SN P) systems are a class of discrete neuron-inspired computation
models, where information is encoded by the numbers of spikes in neurons and the timing of …

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 …

Spiking neural P system (SNP system) is a model of computation inspired by the mechanism
of spiking neurons. An SNP system is a directed graph of neurons that can communicate …

Based on the feature and communication of neurons in animal neural systems, spiking
neural P systems (SN P systems) were proposed as a kind of powerful computing model …

As an important variant of membrane computing models, fuzzy reasoning spiking neural P
systems (FRSN P systems) were introduced to build a link between P systems and fault …

Spiking neural P systems with multiple channels (SNP-MC systems, for short) are a kind of
distributed parallel computing devices, inspired by the way that neurons communicate by …

Two types of cells for bio-inspired computations are neurons and bacteria: the former have
“simple” neurons that connect together to become more useful, ie structure is important to …