Spiking Deep Residual Network

Understand

Spiking neural networks (SNNs) have received significant attention for their biological plausibility.

• SNNs theoretically have at least the same computational power as traditional artificial neural networks (ANNs).
• They possess potential of achieving energy-efficiency while keeping comparable performance to deep neural networks (DNNs).
• However, it is still a big challenge to train a very deep SNN.