A 28-nm 0.34-pJ/SOP Spike-Based Neuromorphic Processor for Efficient Artificial Neural Network Implementations-Reference-Cited by-同舟云学术

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A 28-nm 0.34-pJ/SOP Spike-Based Neuromorphic Processor for Efficient Artificial Neural Network Implementations

Published:2021-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Kuang Yisong,Cui Xiaoxin,Zhong Yi,Liu Kefei,Zou Chenglong,Dai Zhenhui,Yu Dunshan,Wang Yuan,Huang Ru

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9401028/9401051/09401195.pdf?arnumber=9401195

Cited by 5 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. A Spiking Neural Network Accelerator based on Ping-Pong Architecture with Sparse Spike and Weight;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

2. Spike-Predictable Neuron Circuits with Adaptive Threshold for Low-Power SNN Systems;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

3. A Hybrid Spiking Recurrent Neural Network on Hardware for Efficient Emotion Recognition;2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2022-06-13

4. A Full-Neuron Memory Model Designed for Neuromorphic Systems;2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2022-06-13

5. A Scatter-and-Gather Spiking Convolutional Neural Network on a Reconfigurable Neuromorphic Hardware;Frontiers in Neuroscience;2021-11-16

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