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Artificial Tactile Sensing Neuron with Tactile Sensing Ability Based on a Chitosan Memristor

机译:基于壳聚糖忆阻器的具有触觉感知能力的人工触觉感应神经元

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摘要

Owing to the highly parallel network structure of the biological neural network and its triggered processing mode, tactile sensory neurons can realize the perception of external signals and the functions of perception, memory, and data processing by adjusting the synaptic weight. In this paper, a piezoresistive pressure sensor is combined with a memristor to design an artificial tactile sensory neuron. The polyurethane sponge sensor has excellent sensitivity and can convert physical stimuli into electrical signals, and the chitosan‐based memristor has stable bipolar resistive switching characteristics, allowing further information to be memorized and processed. The neuron can respond to tactile stimuli of different degrees, durations, and frequencies; realize potentiation/depression modulation, paired‐pulse facilitation, and spike‐timing‐dependent plasticity; exhibit spike‐rate‐dependent plasticity; and store and erase tactile information through memistor state switching, which has great application potential in biological sensing systems.
机译:由于生物神经网络的高度并行网络结构及其触发处理模式,触觉感觉神经元可以通过调整突触权重来实现对外部信号的感知以及感知、记忆和数据处理的功能。在本文中,将压阻式压力传感器与忆阻器相结合,设计了一种人工触觉感觉神经元。聚氨酯海绵传感器具有出色的灵敏度,可以将物理刺激转换为电信号,壳聚糖基忆阻器具有稳定的双极电阻开关特性,可以存储和处理更多信息。神经元可以对不同程度、持续时间和频率的触觉刺激做出反应;实现增强/抑制调制、配对脉冲促进和尖峰-时间依赖性可塑性;表现出尖峰速率依赖性可塑性;并通过忆阻器状态切换存储和擦除触觉信息,这在生物传感系统中具有很大的应用潜力。

著录项

  • 期刊名称 Advanced Science
  • 作者单位
  • 年(卷),期 2024(11),19
  • 年度 2024
  • 页码 2308610
  • 总页数 10
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

    机译:数据处理、信息存储、忆阻器、触摸感应神经元;
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