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A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule 期刊论文
NEURAL NETWORKS, 2020, 卷号: 121, 期号: 2, 页码: 387-395
作者:  Hao, Yunzhe;  Huang, Xuhui;  Dong, Meng;  Xu, Bo
收藏  |  浏览/下载：246/0  |  提交时间：2020/03/30
Spiking neural networks  Dopamine-modulated spike-timing dependent plasticity  Pattern recognition  Supervised learning  Biologically plausibility  
Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 5105-5120
作者:  Li, Debang;  Wu, Huikai;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(6588Kb)  |  收藏  |  浏览/下载：375/42  |  提交时间：2019/12/16
Reinforcement learning  adversarial learning  image cropping  
Unsupervised speech recognition through spike-timing-dependent plasticity in a convolutional spiking neural network 期刊论文
PLOS ONE, 2018, 卷号: 13, 期号: 11, 页码: 19
作者:  Dong, Meng;  Huang, Xuhui;  Xu, Bo
收藏  |  浏览/下载：309/0  |  提交时间：2019/07/12
无  
Robust stability of stochastic fuzzy delayed neural networks with impulsive time window 期刊论文
NEURAL NETWORKS, 2015, 卷号: 67, 期号: 6, 页码: 84-91
作者:  Wang, Xin;  Yu, Junzhi;  Li, Chuandong;  Wang, Hui;  Huang, Tingwen;  Huang, Junjian
浏览  |  Adobe PDF(1396Kb)  |  收藏  |  浏览/下载：317/94  |  提交时间：2015/09/17
Robust Stability  Stochastic Fuzzy Neural Networks  Impulsive Time Window