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• W140103524 abstract "Usual spiking neural network with a hidden layer whose input and output are all spike times is very powerful for performing classification on real-world data. In this paper, we investigate the performance of a modified one-layer spiking neural network that involves both the spike time and derivative of the state function at firing time. It is shown by numerical experiments that a modified one-layer spiking neural network using same or fewer encoding neurons is almost as good as a usual spiking neural network with a hidden layer for solving some benchmark problems." @default.
• W140103524 created "2016-06-24" @default.
• W140103524 creator A5032938416 @default.
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• W140103524 date "2012-01-01" @default.
• W140103524 modified "2023-09-22" @default.
• W140103524 title "A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time" @default.
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• W140103524 doi "https://doi.org/10.1007/978-3-642-31346-2_18" @default.
• W140103524 hasPublicationYear "2012" @default.
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