14 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding
Keming Wu, Man Yao, Yuhong Chou +4
Spiking Neural Networks (SNNs) have received widespread attention due to their unique neuronal dynamics and low-power nature. Previous research empirically shows that SNNs with Poi…
cs.NE2024★ 1 cited
When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron
Xuerui Qiu, Zheng Luan, Zhaorui Wang +1
Spiking Neural Networks (SNNs) are capable of encoding and processing temporal information in a biologically plausible way. However, most existing SNN-based methods for image tasks…
cs.NE2024★ 14 cited
Event-Driven Learning for Spiking Neural Networks
Wenjie Wei, Malu Zhang, Jilin Zhang +7
Brain-inspired spiking neural networks (SNNs) have gained prominence in the field of neuromorphic computing owing to their low energy consumption during feedforward inference on ne…