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Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(8060Kb)  |  收藏  |  浏览/下载：36/0  |  提交时间：2024/03/27
Direct dynamic programming (DDP)  Lorenz system  multiscale dynamics  point-to-point control  recursive least square (RLS)  spiking neural network (SNN)  
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(2904Kb)  |  收藏  |  浏览/下载：193/1  |  提交时间：2022/01/27
Maximum likelihood estimation (MLE)  Nonlinear systems  Optimal control  Poisson process  Spike train  Spiking Adaptive dynamic programming（SADP）  
Pairwise interactions in gene expression determine a hierarchical transcriptional profile in the human brain 期刊论文
Science Bulletin, 2021, 卷号: 66, 期号: 无, 页码: 无
作者:  Hua, Jiaojiao;  Yang, Zhengyi;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(3690Kb)  |  收藏  |  浏览/下载：228/51  |  提交时间：2021/06/17
Gene-gene interaction  Co-expression  Structural networkFunctional network  Functional network  Higher-order interactions  
Computational modeling of Emotion-motivated Decisions for Continuous Control of Mobile Robots 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 13, 期号: 2020, 页码: 1-14
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(5970Kb)  |  收藏  |  浏览/下载：257/89  |  提交时间：2020/06/09
Brain-inspired Computing  Emotion-motivated Learning  Emotion-memory Interactions  Decision-making  Reinforcement Learning  
Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks 期刊论文
NEUROSCIENCE, 2019, 卷号: 412, 页码: 190-206
作者:  Niu, Weikun;  Huang, Xuhui;  Xu, Kaibin;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(7177Kb)  |  收藏  |  浏览/下载：389/68  |  提交时间：2019/12/16
task state fMRI  pairwise correlation  functional network  neural network model