49 citations · 169 across the 9 of their papers we have counts for
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cs.NE2021★ 40 cited
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu +2
Compiler frameworks are crucial for the widespread use of FPGA-based deep learning accelerators. They allow researchers and developers, who are not familiar with hardware engineeri…
cs.NE2021★ 1 cited
Efficient Spiking Neural Networks with Radix Encoding
Zhehui Wang, Xiaozhe Gu, Rick Goh +2
Spiking neural networks (SNNs) have advantages in latency and energy efficiency over traditional artificial neural networks (ANNs) due to its event-driven computation mechanism and…