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Brain-inspired neural circuit evolution for spiking neural networks 期刊论文
Proceedings of the National Academy of Sciences (PNAS), 2023, 卷号: 120, 期号: 39, 页码: 10
作者:  Shen, Guobin;  Zhao, Dongcheng;  Dong, Yiting;  Zeng, Yi
Adobe PDF(8398Kb)  |  收藏  |  浏览/下载：82/18  |  提交时间：2024/02/21
brain-inspired  neural circuit evolution  spiking neural networks  
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：121/14  |  提交时间：2023/11/17
Spiking neural network  Unsupervised  Plasticity learning rule  Brain inspired connection  
EventMix: An efficient data augmentation strategy for event-based learning 期刊论文
Information Sciences, 2023, 卷号: 644, 页码: 11
作者:  Shen, Guobin;  Zhao, Dongcheng;  Zeng, Yi
Adobe PDF(2595Kb)  |  收藏  |  浏览/下载：131/7  |  提交时间：2023/11/17
Event based data augmentation  Neuromorphic data  Spiking neural networks  Reasonable label assignment  Gaussian mixture model  
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules 期刊论文
Information Sciences, 2022, 卷号: 610, 页码: 1-13
作者:  Zhao, Dongcheng;  Li, Yang;  Zeng, Yi;  Wang, Jihang;  Zhang, Qian
Adobe PDF(3233Kb)  |  收藏  |  浏览/下载：227/11  |  提交时间：2022/11/14
Spiking Neural Network  Capsual Neural Netowrk  Biologically Plausible Routing  Noise Robustness  Affine Transformation Robustness  
A Brain-Inspired Approach for Probabilistic Estimation and Efficient Planning in Precision Physical Interaction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 15
作者:  Xing, Dengpeng;  Yang, Yiming;  Zhang, Tielin;  Xu, Bo
Adobe PDF(2960Kb)  |  收藏  |  浏览/下载：244/18  |  提交时间：2022/06/10
Task analysis  Robots  Force  Planning  Mathematical models  Brain modeling  Biology  Brain-inspired structure  precision physical interaction  spiking neural networks (SNNs)  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：300/16  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network