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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:37/0  |  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  
CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features 期刊论文
NEUROCOMPUTING, 2021, 卷号: 425, 页码: 96-106
作者:  Wang, Tengxiao;  Shi, Cong;  Zhou, Xichuan;  Lin, Yingcheng;  He, Junxian;  Gan, Ping;  Li, Ping;  Wang, Ying;  Liu, Liyuan;  Wu, Nanjian;  Luo, Gang
收藏  |  浏览/下载:47/0  |  提交时间:2021/12/01
Neuromorphic computing  Spiking neural networks  SNN  Compressive sensing  Object classification  Multi-spike encoding  
Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors 期刊论文
COGNITIVE COMPUTATION, 2015, 卷号: 7, 期号: 5, 页码: 622-632
作者:  Jia, Hongjie;  Ding, Shifei;  Du, Mingjing
收藏  |  浏览/下载:58/0  |  提交时间:2019/12/13
Spectral clustering  Cheeger cut  p-Laplacian  SNN  FOA