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本文引用的文献

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SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.SpikingJelly：一个用于基于尖峰的智能的开源机器学习基础架构平台。
Sci Adv. 2023 Oct 6;9(40):eadi1480. doi: 10.1126/sciadv.adi1480.
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Attention Spiking Neural Networks.关注脉冲神经网络。
IEEE Trans Pattern Anal Mach Intell. 2023 Aug;45(8):9393-9410. doi: 10.1109/TPAMI.2023.3241201. Epub 2023 Jun 30.
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Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.用于多智能任务机器人的具有时空弹性的神经形态计算芯片。
Sci Robot. 2022 Jun 15;7(67):eabk2948. doi: 10.1126/scirobotics.abk2948.
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Brain-inspired global-local learning incorporated with neuromorphic computing.脑启发式全局-局部学习与神经形态计算相结合。
Nat Commun. 2022 Jan 10;13(1):65. doi: 10.1038/s41467-021-27653-2.
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Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning.社论：理解并弥合神经形态计算与机器学习之间的差距
Front Comput Neurosci. 2021 Mar 17;15:665662. doi: 10.3389/fncom.2021.665662. eCollection 2021.
6
Towards artificial general intelligence with hybrid Tianjic chip architecture.用混合天机芯片架构实现通用人工智能。
Nature. 2019 Aug;572(7767):106-111. doi: 10.1038/s41586-019-1424-8. Epub 2019 Jul 31.
7
Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype.基于SpiNNaker 2原型的内存高效深度学习
Front Neurosci. 2018 Nov 16;12:840. doi: 10.3389/fnins.2018.00840. eCollection 2018.
8
Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks.用于训练高性能脉冲神经网络的时空反向传播
Front Neurosci. 2018 May 23;12:331. doi: 10.3389/fnins.2018.00331. eCollection 2018.
9
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.
10
Unsupervised learning of digit recognition using spike-timing-dependent plasticity.使用基于脉冲时间依赖可塑性的无监督数字识别学习。
Front Comput Neurosci. 2015 Aug 3;9:99. doi: 10.3389/fncom.2015.00099. eCollection 2015.

Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II.

作者信息

Deng Lei, Tang Huajin, Roy Kaushik

机构信息

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

College of Computer Science and Technology, The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China.

出版信息

Front Comput Neurosci. 2024 Oct 3;18:1455530. doi: 10.3389/fncom.2024.1455530. eCollection 2024.

DOI:10.3389/fncom.2024.1455530
PMID:39421849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11484035/
Abstract
摘要