SCIENCE CHINA Information Sciences, Volume 62 , Issue 9 : 199103(2019) https://doi.org/10.1007/s11432-018-9607-8

Area-efficient memristor spiking neural networks and supervised learning method

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  • ReceivedMay 7, 2018
  • AcceptedSep 13, 2018
  • PublishedJul 30, 2019


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant Nos. 61332003, 61832007).


Appendixes A–C.


[1] Strukov D B, Snider G S, Stewart D R. The missing memristor found. Nature, 2008, 453: 80-83 CrossRef PubMed ADS Google Scholar

[2] Zhu X, Tang Y H, Wu C Q. Impact of multiplexed reading scheme on nanocrossbar memristor memory's scalability. Chin Phys B, 2014, 23: 028501 CrossRef ADS Google Scholar

[3] Zhou J, Yang X J, Wu J J, et al. A memristor-based architecture combining memory and image processing. Sci China Inf Sci, 2014, 57: 052111. Google Scholar

[4] Adam G C, Hoskins B D, Prezioso M. 3-D Memristor Crossbars for Analog and Neuromorphic Computing Applications. IEEE Trans Electron Devices, 2017, 64: 312-318 CrossRef ADS Google Scholar

[5] Wu X, Saxena V, Zhu K. A CMOS Spiking Neuron for Brain-Inspired Neural Networks With Resistive Synapses and In Situ Learning. IEEE Trans Circuits Syst II, 2015, 62: 1088-1092 CrossRef Google Scholar

[6] Maass W. Lower bounds for the computational powerof networks of spiking neurons. Neural Comput, 1997,8: 1--40. Google Scholar

[7] Bohte S M, Kok J N, La Poutré H. Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing, 2002, 48: 17-37 CrossRef Google Scholar

[8] Zhang T L, Zeng Y, Zhao D C, et al. A plasticity-centric approach to train the non-differential spiking neural networks. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, 2018. 620--627. Google Scholar

[9] Nishitani Y, Kaneko Y, Ueda M. Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses.. IEEE Trans Neural Netw Learning Syst, 2015, 26: 2999-3008 CrossRef PubMed Google Scholar