Bioinspired Artificial Sensory Nerve Based on Nafion Memristor
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- Chen Zhang
- College of Electronic Science & Technology Shenzhen University Shenzhen 518060 P. R. China
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- Wen Bin Ye
- College of Electronic Science & Technology Shenzhen University Shenzhen 518060 P. R. China
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- Kui Zhou
- College of Electronic Science & Technology Shenzhen University Shenzhen 518060 P. R. China
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- Hong‐Ye Chen
- Institute for Advanced Study Shenzhen University Shenzhen 518060 P. R. China
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- Jia‐Qin Yang
- College of Electronic Science & Technology Shenzhen University Shenzhen 518060 P. R. China
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- Guanglong Ding
- College of Electronic Science & Technology Shenzhen University Shenzhen 518060 P. R. China
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- Xiaoli Chen
- College of Electronic Science & Technology Shenzhen University Shenzhen 518060 P. R. China
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- Ye Zhou
- Institute for Advanced Study Shenzhen University Shenzhen 518060 P. R. China
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- Li Zhou
- College of Electronic Science & Technology Shenzhen University Shenzhen 518060 P. R. China
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- Fengjiao Li
- College of Chemistry & Environmental Engineering Shenzhen University Shenzhen 518060 P. R. China
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- Su‐Ting Han
- College of Electronic Science & Technology Shenzhen University Shenzhen 518060 P. R. China
抄録
<jats:title>Abstract</jats:title><jats:p>Bioinspired artificial haptic neuron system has received much attention in the booming artificial intelligence industry for its broad range of high‐impact applications such as personal healthcare monitoring, electronic skins, and human–machine interfaces. An artificial haptic neuron system is designed by integrating a piezoresistive sensor and a Nafion‐based memristor for the first time in this paper. The piezoresistive sensor serves as a sensory receptor to transform mechanical stimuli into electric signals, and the Nafion‐based memristor serves as the synapse to further process the information. The pyramid‐structured sensor exhibits excellent sensitivity (6.7 × 10<jats:sup>7</jats:sup> kPa<jats:sup>−1</jats:sup> in 1–5 kPa and 3.8 × 10<jats:sup>5</jats:sup> kPa<jats:sup>−1</jats:sup> in 5–50 kPa) and durability (>7000 cycles), while the memristor realizes fundamental synaptic functions under low power consumption (10–200 pJ) and remains stable for over 10<jats:sup>4</jats:sup> consecutive tests. The integrated system can detect tactile stimuli encoded with temporal information, such as the count, frequency, duration and speed of the external force. As a proof‐of‐concept, English characters recognition with high accuracy can be achieved on the system under a supervised learning method. This work shows promising potential in bioinspired sensing systems owing to the high performance, excellent durability, and simple fabrication procedure.</jats:p>
収録刊行物
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- Advanced Functional Materials
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Advanced Functional Materials 29 (20), 2019-02-21
Wiley