A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning

被引:0
|
作者
He, Junxian [1 ]
Tian, Min [1 ]
Jiang, Ying [1 ]
Wang, Haibing [1 ]
Wang, Tengxiao [1 ]
Zhou, Xichuan [1 ]
Liu, Liyuan [2 ]
Wu, Nanjian [2 ]
Wang, Ying [3 ]
Shi, Cong [1 ,4 ]
机构
[1] The School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, China
[2] The State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
[3] The State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China
[4] The Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Ministry of Education, Chongqing,400044, China
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Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
10.1016/j.compeleceng.2024.109806
中图分类号
学科分类号
摘要
Analog storage - Convolutional neural networks - Digital storage - Frequency bands - Image coding - Image texture - Multilayer neural networks - Neurons - Reconfigurable architectures - Reconfigurable hardware - Supervised learning - System-on-chip - Unsupervised learning
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