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Universal Nonlinear Spiking Neural P Systems with Delays and Weights on Synapses
The nonlinear spiking neural P systems (NSNP systems) are new types of computation models, in which the state of neurons is represented by real numbers, and nonlinear spiking rules handle the neuron's firing. In this work, in order to improve computing performance, the weights and delays are in...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413071/ https://www.ncbi.nlm.nih.gov/pubmed/34484319 http://dx.doi.org/10.1155/2021/3285719 |