Neuromorphic frameworks provide a promising solution to the robustness challenges faced by deep learning. Here, authors show that by leveraging the temporal processing capabilities of spiking neural networks, a robustness that surpasses traditional artificial neural networks can be achieved.
- Jianhao Ding
- Zhaofei Yu
- Tiejun Huang
