A Low-Cost High-Speed Neuromorphic Hardware Based on Spiking Neural Network-Reference-Cited by-同舟云学术

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A Low-Cost High-Speed Neuromorphic Hardware Based on Spiking Neural Network

Published:2019-09 Issue:9 Volume:66 Page:1582-1586
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Farsa Edris Zaman^ORCID,Ahmadi Arash^ORCID,Maleki Mohammad Ali^ORCID,Gholami Morteza,Rad Hima Nikafshan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/8815903/08600358.pdf?arnumber=8600358

Cited by 62 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. Trajectory Control of Quadrotors via Spiking Neural Networks;Electronics;2024-08-21

2. Poster: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing^*;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

3. A comprehensive review of spike sorting algorithms in neuroscience;Progress in Medical Devices;2024-06-30

4. A Reduced Spiking Neural Network Architecture for Energy Efficient Context-Dependent Reinforcement Learning Tasks;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

5. Analysis of Memristor Neural Networks for fault Tolerant Computing;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

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