Before revision: Spiking Neural Network (SNN), as a brain-inspired machine learning algorithm, is closer to the computing mechanism of human brain and more suitable to reveal the essence of intelligence compared with Artificial Neural Networks (ANN), attracting more and more attention in recent years. In addition, the information processed by SNN is in the form of discrete spikes, which makes SNN have low power consumption characteristics .
After revision: Spiking Neural Network (SNN), as a brain-inspired machine learning algorithm, is attracting attention due to its data-driven, event-based computing style and its potential to produce ultra-high-energy-efficient hardware. Most unsupervised SNNs are trained through competitive learning with Spike-Timing-Dependent Plasticity (STDP) .