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In this work, in order to improve computing performance, the weights and delays are introduced to the NSNP system, and universal nonlinear spiking neural P systems with delays and weights on synapses (NSNP\u2010DW) are proposed. Weights are treated as multiplicative constants by which the number of spikes is increased when transiting across synapses, and delays take into account the speed at which the synapses between neurons transmit information. As a distributed parallel computing model, the Turing universality of the NSNP\u2010DW system as number generating and accepting devices is proven. 47 and 43 neurons are sufficient for constructing two small universal NSNP\u2010DW systems. The NSNP\u2010DW system solving the Subset Sum problem is also presented in this work.<\/jats:p>","DOI":"10.1155\/2021\/3285719","type":"journal-article","created":{"date-parts":[[2021,8,26]],"date-time":"2021-08-26T19:50:13Z","timestamp":1630007413000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Universal Nonlinear Spiking Neural P Systems with Delays and Weights on 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