Literature DB >> 32432467

Artificial Tactile Perceptual Neuron with Nociceptive and Pressure Decoding Abilities.

Fei Yu1,2,3, Jia Cheng Cai1,2,4, Li Qiang Zhu1,2, Moheb Sheikhi2,4, Yu Heng Zeng2,4, Wei Guo2,4, Zheng Yu Ren2,4, Hui Xiao2,4, Ji Chun Ye2,4, Chun-Ho Lin5, Andrew Barnabas Wong3, Tom Wu5.   

Abstract

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 ∼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 ∼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.

Entities:  

Keywords:  artificial nociceptors; artificial tactile perceptual neuron; electronic skins; neuromorphic transistors; tactile decoding abilities

Year:  2020        PMID: 32432467     DOI: 10.1021/acsami.0c04718

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  4 in total

1.  An Artificial Nerve Capable of UV-Perception, NIR-Vis Switchable Plasticity Modulation, and Motion State Monitoring.

Authors:  Yao Ni; Jiulong Feng; Jiaqi Liu; Hang Yu; Huanhuan Wei; Yi Du; Lu Liu; Lin Sun; Jianlin Zhou; Wentao Xu
Journal:  Adv Sci (Weinh)       Date:  2021-10-29       Impact factor: 16.806

2.  Artificial Adaptive and Maladaptive Sensory Receptors Based on a Surface-Dominated Diffusive Memristor.

Authors:  Young Geun Song; Jun Min Suh; Jae Yeol Park; Ji Eun Kim; Suk Yeop Chun; Jae Uk Kwon; Ho Lee; Ho Won Jang; Sangtae Kim; Chong-Yun Kang; Jung Ho Yoon
Journal:  Adv Sci (Weinh)       Date:  2021-11-27       Impact factor: 16.806

3.  Self-Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System.

Authors:  Joon-Kyu Han; Il-Woong Tcho; Seung-Bae Jeon; Ji-Man Yu; Weon-Guk Kim; Yang-Kyu Choi
Journal:  Adv Sci (Weinh)       Date:  2022-01-14       Impact factor: 16.806

4.  All in One, Self-Powered Bionic Artificial Nerve Based on a Triboelectric Nanogenerator.

Authors:  Qian Zhang; Zixuan Zhang; Qijie Liang; Qiongfeng Shi; Minglu Zhu; Chengkuo Lee
Journal:  Adv Sci (Weinh)       Date:  2021-05-03       Impact factor: 16.806

  4 in total

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