Junchuan Gu

Temporal Weighted Encoding: Towards Maximal-Capacity Spike Coding for ANN–SNN Conversion

Spiking Neural Networks (SNNs) emulate the spiking behavior of biological neurons and are promising for energy-efficient neuromorphic computing. A widely used strategy to train SNNs is to convert pretrained Artificial Neural Networks (ANNs), where the accuracy and efficiency are determined by the sp…