Exploiting Memristors for Neuromorphic Reinforcement Learning-Reference-Cited by-同舟云学术

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Exploiting Memristors for Neuromorphic Reinforcement Learning

Published:2021-06-06 Issue: Volume: Page:
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Container-title:2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Shi Cong,Lu Jing,Wang Ying,Li Ping,Tian Min

Funder

Chongqing Science and Technology Foundation

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9458399/9458400/09458542.pdf?arnumber=9458542

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. Building an Analog Circuit Synapse for Deep Learning Neuromorphic Processing;Mathematics;2024-07-20

2. Complementary memtransistors for neuromorphic computing: How, what and why;Journal of Semiconductors;2024-06-01

3. On-Chip Optimization and Deep Reinforcement Learning in Memristor Based Computing;Proceedings of the 18th ACM International Symposium on Nanoscale Architectures;2023-12-18

4. Complementary inverter and reward-modulated spike timing dependent plasticity circuit based on organic transistors;Materials Science in Semiconductor Processing;2023-11

5. Unsupervised Learning of Spike-Timing-Dependent Plasticity Based on a Neuromorphic Implementation;2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2023-06-11

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