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J. Neur. Syst."],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p> 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. Considering the length of axons and the information transmission speed on synapses, SN P systems with delay on synapses (SNP-DS systems) are proposed in this work. Unlike the traditional SN P systems, where all the postsynaptic neurons receive spikes at the same instant from their presynaptic neuron, the postsynaptic neurons in SNP-DS systems would receive spikes at different instants, depending on the delay time on the synapses connecting them. It is proved that the SNP-DS systems are universal as number generators. Two small universal SNP-DS systems, with standard or extended rules, are constructed to compute functions, using 56 and 36 neurons, respectively. Moreover, a simulator has been provided, in order to check the correctness of these two SNP-DS systems, thus providing an experimental validation of the universality of the systems designed. <\/jats:p>","DOI":"10.1142\/s0129065720500422","type":"journal-article","created":{"date-parts":[[2020,7,23]],"date-time":"2020-07-23T14:50:38Z","timestamp":1595515838000},"page":"2050042","source":"Crossref","is-referenced-by-count":63,"title":["Spiking Neural P Systems with Delay on Synapses"],"prefix":"10.1142","volume":"31","author":[{"given":"Xiaoxiao","family":"Song","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Electronic Information and Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu, Sichuan 610039, P. R. 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