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Nanoscale connections for brain-like circuits

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  • Robert Legenstein

    (Robert Legenstein is at the Institute for Theoretical Computer Science, Graz University of Technology, Graz 8010, Austria.)

Abstract

Tiny circuit elements called memristors have been used as connections in an artificial neural network – enabling the system to learn to recognize letters of the alphabet from imperfect images. See Letter p.61

Suggested Citation

  • Robert Legenstein, 2015. "Nanoscale connections for brain-like circuits," Nature, Nature, vol. 521(7550), pages 37-38, May.
    • Handle: RePEc:nat:nature:v:521:y:2015:i:7550:d:10.1038_521037a
    DOI: 10.1038/521037a
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    Cited by:

    1. Wu, Huagan & Bian, Yixuan & Zhang, Yunzhen & Guo, Yixuan & Xu, Quan & Chen, Mo, 2023. "Multi-stable states and synchronicity of a cellular neural network with memristive activation function," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    2. Zhao, Yong & Kurths, Jürgen & Duan, Lixia, 2018. "Input-to-State stability analysis for memristive Cohen-Grossberg-type neural networks with variable time delays," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 364-369.

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