most citedLaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.HC2023

Decoding Chinese phonemes from intracortical brain signals with hyperbolic-space neural representations

Xianhan Tan, Junming Zhu, Jianmin Zhang +2

Speech brain-computer interfaces (BCIs), which translate brain signals into spoken words or sentences, have shown significant potential for high-performance BCI communication. Phon…

cs.NE2023★ 3 cited

LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

Di Hong, Jiangrong Shen, Yu Qi +1

Spiking Neural Networks (SNNs) are biologically realistic and practically promising in low-power computation because of their event-driven mechanism. Usually, the training of SNNs…