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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:64/11  |  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:106/9  |  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:115/4  |  提交时间:2023/11/17
Event based data augmentation  Neuromorphic data  Spiking neural networks  Reasonable label assignment  Gaussian mixture model  
Pursuing 3-D Scene Structures With Optical Satellite Images From Affine Reconstruction to Euclidean Reconstruction 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:  Wang, Pinhe;  Shi, Limin;  Chen, Bao;  Hu, Zhanyi;  Qiao, Jianzhong;  Dong, Qiulei
收藏  |  浏览/下载:347/0  |  提交时间:2022/11/28
Satellites  Image reconstruction  Cameras  Three-dimensional displays  Solid modeling  Optical sensors  Optical imaging  Affine-to-Euclidean upgrading  dense affine reconstruction  ground control points (GCPs)  hierarchical reconstruction  optical satellite image  
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons 期刊论文
Frontiers in Neuroscience, 2022, 卷号: 16, 页码: 13
作者:  Li, Yang;  Zhao, Dongcheng;  Zeng, Yi
Adobe PDF(3930Kb)  |  收藏  |  浏览/下载:256/5  |  提交时间:2022/11/21
spiking neural network  bistability  neuromorphic computing  image classification  conversion  
Brainnetome atlas of preadolescent children based on anatomical connectivity profiles 期刊论文
CEREBRAL CORTEX, 2022, 页码: 12
作者:  Li, Wen;  Fan, Lingzhong;  Shi, Weiyang;  Lu, Yuheng;  Li, Jin;  Luo, Na;  Wang, Haiyan;  Chu, Congying;  Ma, Liang;  Song, Ming;  Li, Kaixin;  Cheng, Luqi;  Cao, Long;  Jiang, Tianzi
Adobe PDF(1764Kb)  |  收藏  |  浏览/下载:398/76  |  提交时间:2022/11/14
anatomical connectivity  Brainnetome atlas  development  diffusion magnetic resonance imaging  preadolescent child  
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:208/7  |  提交时间:2022/11/14
Spiking Neural Network  Capsual Neural Netowrk  Biologically Plausible Routing  Noise Robustness  Affine Transformation Robustness  
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:260/3  |  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  
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:288/16  |  提交时间:2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Dynamically Optimizing Network Structure Based on Synaptic Pruning in the Brain 期刊论文
FRONTIERS IN SYSTEMS NEUROSCIENCE, 2021, 卷号: 15, 页码: 8
作者:  Zhao, Feifei;  Zeng, Yi
收藏  |  浏览/下载:182/0  |  提交时间:2021/08/15
synaptic pruning  developmental neural network  optimizing network structure  accelerating learning  compressing network