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• W4206918384 abstract "Abstract Research on various neuro-inspired technologies has received much attention. However, while higher-order neural functions such as recognition have been emphasized, the fundamental properties of neural circuits as advanced control systems have not been fully exploited. Here, we applied the functions of central pattern generators, biological neural circuits for motor control, to the control technology of switching circuits for extremely power-saving terminal edge devices. By simply applying a binary waveform with an arbitrary temporal pattern to the transistor gate, low-power and real-time switching control can be achieved. This binary pattern generator consists of a specially designed spiking neuron circuit that generates spikes after a pre-programmed wait time in the six-order range, but consumes negligible power, with an experimental record of 1.2 pW per neuron. This control scheme has been successfully applied to voltage conversion circuits consuming only a few nanowatts, providing an ultra-low power technology for trillions of self-powered edge systems." @default.
• W4206918384 created "2022-01-26" @default.
• W4206918384 creator A5038889741 @default.
• W4206918384 date "2022-01-21" @default.
• W4206918384 modified "2023-10-14" @default.
• W4206918384 title "Ultra-low-power switching circuits based on a binary pattern generator with spiking neurons" @default.
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• W4206918384 doi "https://doi.org/10.1038/s41598-022-04982-w" @default.
• W4206918384 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35064156" @default.
• W4206918384 hasPublicationYear "2022" @default.
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