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Emulating Synaptic Events and Nociceptor via Organic–Inorganic Perovskite Threshold Switching Memristor

  • Zhiqiang Xie*
  • , Jianchang Wu
  • , Junsheng Luo
  • , Mingjie Feng
  • , Jingjing Tian
  • , Chaohui Li
  • , Difei Zhang
  • , Lijun Chen
  • , Maria Antonietta Loi
  • , Bobo Tian
  • , Shenglan Hao
  • , Long Cheng
  • , Andres Osvet*
  • , Christoph J. Brabec*
  • *此作品的通讯作者
  • Friedrich-Alexander University Erlangen-Nürnberg
  • University of Electronic Science and Technology of China
  • South China University of Technology
  • University of Groningen
  • East China Normal University
  • Université Paris-Saclay

科研成果: 期刊稿件文章同行评审

摘要

As artificial intelligence technology continuously advances, a growing number of bio-mimetic advanced electronic systems are rapidly emerging and being applied in various fields, including humanoid robots and tactile sensors. To effectively address progressively complex tasks and challenging work environments, integrating synaptic and nociceptive functions within a single device is crucial for enhancing the ability to perceive changes and respond accordingly to the external environment. Here, an organic–inorganic perovskite memristor that exhibits excellent volatile performance (ON/OFF ratio ≈102, endurance > 104 cycles) is presented. The device effectively replicates typical synaptic functions, encompassing short- and long-term plasticity. Moreover, due to the switching delay characteristics, essential biological nociceptive features such as threshold, no adaptation, and sensitization are also demonstrated. Further, the perovskite artificial nociceptor is successfully integrated into a thermal nociceptive system. Overall, the fusion of synaptic and nociceptive behaviors paves the way for developing more efficient and versatile systems that can mimic intricate biological processes associated with sensory perception and pain sensation.

源语言英语
文章编号2500542
期刊Small Methods
10
2
DOI
出版状态已出版 - 22 1月 2026

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