Chengzhuo Lu

Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks

The brain-inspired spiking neural networks (SNNs) are receiving increasing attention due to their asynchronous event-driven characteristics and low power consumption. As attention mechanisms recently become an indispensable part of sequence dependence modeling, the combination of SNNs and attention…