Artificial Tactile Perceptual Neuron with Nociceptive and Pressure Decoding Abilities
文献类型：期刊论文
| 作者 | Yu, Fei; Cai, Jia Cheng; Zhu, Li Qiang; Sheikhi, Moheb; Zeng, Yu Heng; Guo, Wei; Ren, Zheng Yu; Xiao, Hui; Ye, Ji Chun; Lin, Chun-Ho |
| 刊名 | ACS APPLIED MATERIALS & INTERFACES
 |
| 出版日期 | 2020 |
| 卷号 | 12期号:23页码:26258-26266 |
| 关键词 | TRIBOELECTRIC NANOGENERATORS ELECTRONIC SKIN SENSORS MECHANISMS DEVICE |
| DOI | 10.1021/acsami.0c04718 |
| 英文摘要 | The neural system is a multifunctional perceptual learning system. Our brain can perceive different kinds of information to form senses, including touch, sight, hearing, and so on. Mimicking such perceptual learning systems is critical for neuromorphic platform applications. Here, an artificial tactile perceptual neuron is realized by utilizing electronic skins (E-skin) with oxide neuromorphic transistors, and this artificial tactile perceptual neuron successfully simulates biological tactile afferent nerves. First, the E-skin device is constructed using microstructured polydimethylsiloxane membranes coated with Ag/indium tin oxide (ITO) layers, exhibiting good sensitivities of similar to 2.1 kPa(-1) and fast response time of tens of milliseconds. Then, the chitosan-based electrolyte-gated ITO neuromorphic transistor is fabricated and exhibits high performance and synaptic responses. Finally, the integrated artificial tactile perceptual neuron demonstrates pressure excitatory postsynaptic current and paired-pulse facilitation. The artificial tactile perceptual neuron is featured with low energy consumption as low as similar to 0.7 nJ. Moreover, it can mimic acute and chronic pain and nociceptive characteristics of allodynia and hyperalgesia in biological nociceptors. Interestingly, the artificial tactile perceptual neuron can employ "Morse code" pressure-interpreting scheme. This simple and low-cost approach has excellent potential for applications including but not limited to intelligent humanoid robots and replacement neuroprosthetics. |
| 学科主题 | Science & Technology - Other Topics ; Materials Science |
| 源URL | [http://ir.nimte.ac.cn/handle/174433/20737]  |
| 专题 | 2020专题 2020专题_期刊论文 |
| 作者单位 | 1.Zhu, L (corresponding author), Ningbo Univ, Sch Phys Sci & Technol, Ningbo 315211, Zhejiang, Peoples R China. 2.Zhu, L (corresponding author), Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Ningbo 315201, Zhejiang, Peoples R China. 3.Wu, T (corresponding author), Univ New South Wales UNSW, Sch Mat Sci & Engn, Sydney, NSW 2052, Australia. |
| 推荐引用方式 GB/T 7714 | Yu, Fei,Cai, Jia Cheng,Zhu, Li Qiang,et al. Artificial Tactile Perceptual Neuron with Nociceptive and Pressure Decoding Abilities[J]. ACS APPLIED MATERIALS & INTERFACES,2020,12(23):26258-26266. |
| APA | Yu, Fei.,Cai, Jia Cheng.,Zhu, Li Qiang.,Sheikhi, Moheb.,Zeng, Yu Heng.,...&Wu, Tom.(2020).Artificial Tactile Perceptual Neuron with Nociceptive and Pressure Decoding Abilities.ACS APPLIED MATERIALS & INTERFACES,12(23),26258-26266. |
| MLA | Yu, Fei,et al."Artificial Tactile Perceptual Neuron with Nociceptive and Pressure Decoding Abilities".ACS APPLIED MATERIALS & INTERFACES 12.23(2020):26258-26266. |
入库方式： OAI收割
来源：宁波材料技术与工程研究所
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