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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  
Short-term synaptic plasticity expands the operational range of long-term synaptic changes in neural networks 期刊论文
NEURAL NETWORKS, 2019, 卷号: 118, 页码: 140-147
作者:  Zeng, Guanxiong;  Huang, Xuhui;  Jiang, Tianzi;  Yu, Shan
收藏  |  浏览/下载：362/0  |  提交时间：2019/12/16
Reservoir computing  Sequence learning and retrieval  Short-term depression  Synaptic heterogeneity  Self-organized criticality  Optimal information processing  
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