45 citations · 49 across the 8 of their papers we have counts for
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cs.NE2023★ 1 cited
SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
Xingting Yao, Qinghao Hu, Fei Zhou +5
In this paper, we propose SpikingNeRF, which aligns the temporal dimension of spiking neural networks (SNNs) with the radiance rays, to seamlessly accommodate SNNs to the reconstru…
cs.NE2022★ 45 cited
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Xingting Yao, Fanrong Li, Zitao Mo +1
Spiking Neural Networks (SNNs) have been studied over decades to incorporate their biological plausibility and leverage their promising energy efficiency. Throughout existing SNNs,…