Journal ArticleDOI
Spiking neural P systems with multiple channels and anti-spikes.
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TLDR
The Turing universality as number generating and accepting devices is proved at first, and then a universal SN P systems with multiple channels and anti-spikes for computing functions is investigated.Abstract:
Spiking neural P systems (SN P systems) with multiple channels are a variant of SN P systems presented recently. By introducing anti-spikes in neurons, SN P systems with multiple channels and anti-spikes are constructed in this work, where both spikes and anti-spikes are used in rules with channel labels. The Turing universality as number generating and accepting devices is proved at first, and then a universal SN P systems with multiple channels and anti-spikes for computing functions is investigated. At last, a small universal system using 65 neurons for computing any Turing computable function is given.read more
Citations
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Journal ArticleDOI
Dynamic threshold neural P systems
TL;DR: This paper proposes a new kind of neural-like P systems, called dynamic threshold neural P systems (for short, DTNP systems), which can be represented as a directed graph, where nodes are dynamic threshold neurons while arcs denote synaptic connections of these neurons.
Journal ArticleDOI
Dendrite P systems.
Hong Peng,Tingting Bao,Xiaohui Luo,Jun Wang,Xiaoxiao Song,Agustín Riscos-Núñez,Mario J. Pérez-Jiménez +6 more
TL;DR: A new variant of neural-like P systems, dendrite P (DeP) systems, where neurons simulate the computational function of dendrites and perform a firing-storing process instead of the storing-firing process in spiking neural P (SNP) Systems are proposed.
Journal ArticleDOI
Nonlinear Spiking Neural P Systems.
Hong Peng,Zeqiong Lv,Bo Li,Xiaohui Luo,Jun Wang,Xiaoxiao Song,Tao Wang,Mario J. Pérez-Jiménez,Agustín Riscos-Núñez +8 more
TL;DR: It is proved that NS NP systems as number-generating/accepting devices are Turing-universal, and two small universal NSNP systems for function computing and number generator are established, containing 117 neurons and 164 Neurons, respectively.
Journal ArticleDOI
Spiking Neural P Systems with Delay on Synapses.
TL;DR: 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 in this paper, considering the length of axons and the information transmission speed on synapses.
Journal ArticleDOI
A formal framework for spiking neural P systems
TL;DR: In this paper, an extension of the formal framework related to spiking neural P systems by considering the applicability of each rule to be controlled by specific conditions on the current contents of the cells is presented.
References
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Journal Article
Spiking Neural P Systems
TL;DR: In this article, the authors introduce a class of neural-like P systems which they call spiking neural P systems (in short, SN P systems), in which the result of a computation is the time between the moments when a specified neuron spikes.
Journal ArticleDOI
On spiking neural P systems
TL;DR: This work deals with several aspects concerning the formal verification of SN P systems and the computing power of some variants, and proposes a methodology based on the information given by the transition diagram associated with an SN P system which establishes the soundness and completeness of the system with respect to the problem it tries to resolve.
Journal ArticleDOI
Small universal spiking neural P systems.
TL;DR: In this paper, the authors considered the case of spiking neural P systems (SNP systems), in two variants: as devices that compute functions and as generators of sets of numbers, and they found a universal system with restricted rules having 76 neurons and one with extended rules having 50 neurons.
Journal ArticleDOI
Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems
TL;DR: The results of case studies show that FDSNP is effective in diagnosing faults in power transmission networks for single and multiple fault situations with/without incomplete and uncertain SCADA data, and is superior to four methods reported in the literature in terms of the correctness of diagnosis results.
Journal ArticleDOI
Spiking Neural P Systems with Anti-Spikes
Linqiang Pan,Gheorghe Paun +1 more
TL;DR: This simple extension of spiking neural P systems is shown to considerably simplify the universality proofs in this area, where all rules become of the form bc → b′ or bc → lambda , where b,b′ are spikes or anti-spikes.