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- W3178131476 endingPage "2050042" @default.
- W3178131476 startingPage "2050042" @default.
- W3178131476 abstract "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." @default.
- W3178131476 created "2021-07-19" @default.
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- W3178131476 date "2020-07-23" @default.
- W3178131476 modified "2023-10-18" @default.
- W3178131476 title "Spiking Neural P Systems with Delay on Synapses" @default.
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- W3178131476 doi "https://doi.org/10.1142/s0129065720500422" @default.
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