In-situ Learning in Hardware Compatible Multi-layer Memristive Spiking Neural Network-Reference-Cited by-同舟云学术

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In-situ Learning in Hardware Compatible Multi-layer Memristive Spiking Neural Network

Published:2021 Issue: Volume: Page:1-1
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Li Jiwei,Xu Hui,Sun Sheng-Yang,Li Nan,Li Qingjiang,Li Zhiwei,Liu Haijun

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/7422051/09314893.pdf?arnumber=9314893

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Paired competing neurons improving STDP supervised local learning in Spiking Neural Networks;Frontiers in Neuroscience;2024-07-24

2. Toward Memristive Phase‐Change Neural Network with High‐Quality Ultra‐Effective Highly‐Self‐Adjustable Online Learning;Advanced Physics Research;2024-01-23

3. A Review of Computing with Spiking Neural Networks;Computers, Materials & Continua;2024

4. Extraction of Significant Features by Fixed-Weight Layer of Processing Elements for the Development of an Efficient Spiking Neural Network Classifier;Big Data and Cognitive Computing;2023-12-18

5. A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits;Advanced Intelligent Systems;2023-08

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