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An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections 期刊论文
NEURAL NETWORKS, 2023, 卷号: 165, 页码: 799-808
作者:  Dong, Yiting;  Zhao, Dongcheng;  Li, Yang;  Zeng, Yi
收藏  |  浏览/下载:57/0  |  提交时间:2023/11/17
Spiking neural network  Unsupervised  Plasticity learning rule  Brain inspired connection  
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:237/0  |  提交时间:2020/03/30
Spiking neural networks  Dopamine-modulated spike-timing dependent plasticity  Pattern recognition  Supervised learning  Biologically plausibility  
An iterative is an element of-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state 期刊论文
NEURAL NETWORKS, 2012, 卷号: 32, 期号: x, 页码: 236-244
作者:  Wei, Qinglai;  Liu, Derong;  Derong Liu
Adobe PDF(438Kb)  |  收藏  |  浏览/下载:193/60  |  提交时间:2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Is An Element Of-optimal Control  Finite Horizon  Neural Networks