4.8 Article

Artificial Tactile Perceptual Neuron with Nociceptive and Pressure Decoding Abilities

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 12, 期 23, 页码 26258-26266

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.0c04718

关键词

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

资金

  1. National Natural Science Foundation of China [51972316, 61974149]
  2. Zhejiang Provincial Natural Science Foundation of China [LR18F040002]
  3. Australian Research Council [DP190103316]
  4. Open Project of State Key Laboratory of ASIC System [2019KF006]
  5. Program for Ningbo Municipal Science and Technology Innovative Research Team [2016B10005]

向作者/读者索取更多资源

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.

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