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Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning.

作者信息

Deng Lei, Tang Huajin, Roy Kaushik

机构信息

Department of Precision Instrument, Center for Brain Inspired Computing Research (CBICR), Tsinghua University, Beijing, China.

College of Computer Science and Technology, Zhejiang University, Hangzhou, China.

出版信息

Front Comput Neurosci. 2021 Mar 17;15:665662. doi: 10.3389/fncom.2021.665662. eCollection 2021.

Abstract
摘要

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本文引用的文献

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Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.利用与脉冲兼容的梯度探索脉冲神经网络中的对抗攻击。
IEEE Trans Neural Netw Learn Syst. 2023 May;34(5):2569-2583. doi: 10.1109/TNNLS.2021.3106961. Epub 2023 May 2.
3
Towards spike-based machine intelligence with neuromorphic computing.迈向基于尖峰的机器智能的神经形态计算。
Nature. 2019 Nov;575(7784):607-617. doi: 10.1038/s41586-019-1677-2. Epub 2019 Nov 27.
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Training Deep Spiking Neural Networks Using Backpropagation.使用反向传播训练深度脉冲神经网络。
Front Neurosci. 2016 Nov 8;10:508. doi: 10.3389/fnins.2016.00508. eCollection 2016.

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