In the field of membrane computing, a great attention is traditionally paid to the results
demonstrating a theoretical possibility to solve NP-complete problems in polynomial time by …

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 (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 (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 are a class of distributed and parallel computing models inspired
by spiking neurons. In this work, the features of neuron division and neuron budding are …

Spiking neural P systems are a class of third generation neural networks belonging to the
framework of membrane computing. Spiking neural P systems with communication on …

A variant of spiking neural P systems with positive or negative weights on synapses is
introduced, where the rules of a neuron fire when the potential of that neuron equals a given …

Membrane systems, also called P systems, are biologically inspired theoretical models of
distributed and parallel computing. This paper presents a new class of tissue-like P systems …

Spiking neural P systems with weights are a new class of distributed and parallel computing
models inspired by spiking neurons. In such models, a neuron fires when its potential equals …

Spiking neural P systems are parallel and distributed computation devices which are
inspired by the neuro-physiological behavior of biological neurons. In this paper we will …