1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.NE2022★ 1 cited
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
Spiking neural networks (SNNs) are well suited for resource-constrained applications as they do not need expensive multipliers. In a typical rate-encoded SNN, a series of binary sp…
cs.ET2019★ 1 cited
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip
Bo Wang, Jun Zhou, Weng-Fai Wong +1
The next wave of on-device AI will likely require energy-efficient deep neural networks. Brain-inspired spiking neural networks (SNN) has been identified to be a promising candidat…