中国科学院计算技术研究所机构知识库

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	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan 收藏  |  浏览/下载：26/0  |  提交时间：2022/06/21 Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization
	Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Liang, Ling;  Hu, Xing;  Deng, Lei;  Wu, Yujie;  Li, Guoqi;  Ding, Yufei;  Li, Peng;  Xie, Yuan 收藏  |  浏览/下载：26/0  |  提交时间：2022/06/21 Spatiotemporal phenomena  Computational modeling  Perturbation methods  Biological neural networks  Backpropagation  Unsupervised learning  Training  Adversarial attack  backpropagation through time (BPTT)  neuromorphic computing  spike-compatible gradient  spiking neural networks (SNNs)