In this work, an improvement is made to NSN P systems, a weight is placed on the synapse connecting two neurons, a modified computing model of numerical spiking neural P systems is constructed, called numerical spiking neural P systems with weights (NSNW P systems, for short). We show that...
Modeling Neuronal Systems Chapter © 2021 1 Introduction Spiking neural network simulations are a flexible and powerful method for investigating the behaviour of neuronal systems. Spiking neuron models can be described mathematically as hybrid systems (Brette et al. 2007), with continuous evolution of...
Numerical spiking neural P systemsAsynchronousUniversalityNETWORKSDESIGNPOWERSpiking neural (SN) P systems inspired from biological neural network are not only a kind of distributed and parallel membrane computing model, but also a new third-generation neural network model. It should be noted that SN ...
Since the spiking neural P system (SN P system) was proposed in 2006, it has become a research hotspot in the field of membrane computing. The SN P system performs computations through the encoding, processing, and transmission of spiking information and can be regarded as a third-generation ...
Some open problems and research topics are pointed, about three classes of P systems: catalytic, numerical, and spiking neural P systems. In each case, several issues are briefly discussed, in general, related to questions already formulated as open problems in the literature and also related to...
Some open problems and research topics are pointed, about three classes of P systems: catalytic, numerical, and spiking neural P systems. In each case, several issues are briefly discussed, in general, related to questions already formulated as open problems in the literature and also related to...
It has been proved that celllike spiking neural P systems can generate Turing computable sets of numbers. In this work, the computational power of cell-like spiking neural P systems as language generators is investigated. Characterization of finite......
The fuzzy reasoning numerical spiking neural P systems (FRNSN P systems) are proposed by introducing the interval-valued triangular fuzzy numbers into the numerical spiking neural P systems (NSN P systems). The NSN P systems were applied to the SAT problem and the FRNSN P systems were applied...
On the analysis of pseudo-orbits of continuous chaotic nonlinear systems simulated using discretization schemes in a digital computer. Chaos Solitons Fractals 2017, 95, 21–32. [Google Scholar] [CrossRef] Lozi, P. Can we trust numerical computations of chaotic solutions of dynamical systems? In ...
The classic spiking neural P (SN P) systems abstract the real biological neural network into a simple structure based on graphs, where neurons can only communicate on the plane. This study proposes the hypergraph-based numerical spiking neural membrane (HNSNM) systems with novel repartition ...