中国科学院计算技术研究所机构知识库

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	A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning 期刊论文 COMPUTERS & ELECTRICAL ENGINEERING, 2024, 卷号: 120, 页码: 17 作者:  He, Junxian;  Tian, Min;  Jiang, Ying;  Wang, Haibing;  Wang, Tengxiao;  Zhou, Xichuan;  Liu, Liyuan;  Wu, Nanjian;  Wang, Ying;  Shi, Cong 收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Neuromorphic  Convolutional neuronal network  Spiking neural network  HMAX  STDP  On-chip learning
	TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity 期刊论文 IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2022, 卷号: 16, 期号: 4, 页码: 636-650 作者:  Wang, Haibing;  He, Zhen;  Wang, Tengxiao;  He, Junxian;  Zhou, Xichuan;  Wang, Ying;  Liu, Liyuan;  Wu, Nanjian;  Tian, Min;  Shi, Cong 收藏  |  浏览/下载：22/0  |  提交时间：2023/07/12 Neurons  Neuromorphics  Hardware  System-on-chip  Field programmable gate arrays  Synapses  Self-organizing feature maps  Neuromorphic system  spiking neural network  spike-timing dependent plasticity  self-organizing map  reinforce- ment learning  on-chip learning
	CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features 期刊论文 NEUROCOMPUTING, 2021, 卷号: 425, 页码: 96-106 作者:  Wang, Tengxiao;  Shi, Cong;  Zhou, Xichuan;  Lin, Yingcheng;  He, Junxian;  Gan, Ping;  Li, Ping;  Wang, Ying;  Liu, Liyuan;  Wu, Nanjian;  Luo, Gang 收藏  |  浏览/下载：47/0  |  提交时间：2021/12/01 Neuromorphic computing  Spiking neural networks  SNN  Compressive sensing  Object classification  Multi-spike encoding
	A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification 期刊论文 SENSORS, 2020, 卷号: 20, 期号: 17, 页码: 18 作者:  He, Wei;  Huang, Jinguo;  Wang, Tengxiao;  Lin, Yingcheng;  He, Junxian;  Zhou, Xichuan;  Li, Ping;  Wang, Ying;  Wu, Nanjian;  Shi, Cong 收藏  |  浏览/下载：69/0  |  提交时间：2020/12/10 address-event representation (AER)  Random Ferns  object classification  neuromorphic hardware  online learning  on-chip learning