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most citedE3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs

40 citations · 79 across the 6 of their papers we have counts for

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Showing 2022 · cs.ARShow all

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cs.AR2022★ 8 cited

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding

Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu +2

Spiking neural networks (SNNs) recently gained momentum due to their low-power multiplication-free computing and the closer resemblance of biological processes in the nervous syste…