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• W2943039810 abstract "The pulse-coupled neural network (PCNN) model is a third-generation artificial neural network without training that uses the synchronous pulse bursts of neurons to process digital images, but the lack of in-depth theoretical research limits its extensive application. By analyzing the working mechanism of the PCNN, we present an expression for the fire-extinguishing time of neurons that fire in the second iteration and an expression for the firing time of neurons that extinguish in the second iteration. In addition, we find a phenomenon of the PCNN and name it mathematically coupled fire extinguishing. Based on the above analysis, we propose a new working mode for the PCNN, where the refiring of fire-extinguishing neurons is only allowed when all firing neurons are extinguished. We also work out the constraint conditions of the parameter settings under this mode. Furthermore, we analyze the relationship between the network parameters and mathematically coupled fire extinguishing, the coupling of neighboring neurons, and the convergence rate of the PCNN, respectively. In addition, we demonstrate the essential regularity of extinguished neuron in the PCNN and then propose an optimal parameter setting to achieve the best comprehensive performance of the PCNN." @default.
• W2943039810 created "2019-05-09" @default.
• W2943039810 creator A5002832498 @default.
• W2943039810 creator A5042455990 @default.
• W2943039810 creator A5057985642 @default.
• W2943039810 date "2020-02-01" @default.
• W2943039810 modified "2023-10-14" @default.
• W2943039810 title "PCNN Mechanism and its Parameter Settings" @default.
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• W2943039810 doi "https://doi.org/10.1109/tnnls.2019.2905113" @default.
• W2943039810 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30990197" @default.
• W2943039810 hasPublicationYear "2020" @default.
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