通过知识蒸馏从人工神经网络构建深度脉冲神经网络（英文版）

英文标题：Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation中文摘要：本文提出了一种新的方法，利用知识蒸馏构建深度 SNN 模型，通过利用 ANN 作为教师模型和 SNN 作为学生模型进行联合训练算法，可以更加有效地构建深层脉冲神经网络结构，并且在与不可微分波形的通信时，仍然能够避免从零开始训练 SNN，并且具有良好的噪声免疫能力。英文摘要：Spiking neural networks (SNNs) are well known as the brain-inspired modelswith high computing efficiency, due to a key component that they utilize spikesas information units, close to the biological neural systems. Although spikingbased models are ene