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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
Adobe PDF(2202Kb)  |  收藏  |  浏览/下载：94/6  |  提交时间：2023/11/17
Spiking neural network  Unsupervised  Plasticity learning rule  Brain inspired connection  
New development of SGII-UP laser facility control system based on tango controls 期刊论文
FUSION ENGINEERING AND DESIGN, 2023, 卷号: 188, 页码: 6
作者:  Zeng, Peiying;  Cheng, Ningbo;  Guo, Wenbin;  Ji, Tong;  Tang, Xiaoyun;  Zou, Wei;  Zhu, Baoqiang;  Zhu, Jianqiang
Adobe PDF(3304Kb)  |  收藏  |  浏览/下载：353/35  |  提交时间：2023/03/20
Tango controls  SGII-UP  Control system  Hierarchical structure  
N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning 期刊论文
Scientific Data, 2022, 卷号: 9, 期号: 1, 页码: 9
作者:  Li, Yang;  Dong, Yiting;  Zhao, Dongcheng;  Zeng, Yi
Adobe PDF(4359Kb)  |  收藏  |  浏览/下载：151/10  |  提交时间：2023/03/20
Efficient Pairwise 3-D Registration of Urban Scenes via Hybrid Structural Descriptors 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 17
作者:  Zhang, Long;  Guo, Jianwei;  Cheng, Zhanglin;  Xiao, Jun;  Zhang, Xiaopeng
Adobe PDF(13657Kb)  |  收藏  |  浏览/下载：251/2  |  提交时间：2022/01/27
Three-dimensional displays  Shape  Feature extraction  Semantics  Robustness  Cloud computing  Virtual reality  Descriptor  hybrid structure  point cloud  registration  urban scene  
Quantum superposition inspired spiking neural network 期刊论文
ISCIENCE, 2021, 卷号: 24, 期号: 8, 页码: 16
作者:  Sun, Yinqian;  Zeng, Yi;  Zhang, Tielin
Adobe PDF(2756Kb)  |  收藏  |  浏览/下载：239/40  |  提交时间：2021/11/03
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 13
作者:  Fang, Hongjian;  Zeng, Yi;  Zhao, Feifei
Adobe PDF(2485Kb)  |  收藏  |  浏览/下载：313/60  |  提交时间：2021/04/06
brain-inspired intelligence  spiking neural network  reward-medulated STDP  population coding  reinforcement learning