材料科学
神经形态工程学
记忆电阻器
突触
人工智能
触觉传感器
计算机科学
电子皮肤
形状记忆合金
人工神经网络
纳米技术
电子工程
机器人
神经科学
工程类
生物
作者
Qing Xia,Yuxiang Qin,Anbo Zheng,Peilun Qiu,Xueshuo Zhang
标识
DOI:10.1002/admi.202101068
摘要
Abstract The bio‐inspired sensory memory device functions as a multifunctional artificial perceptual learning system that can effectively analyze and retain multiple sensory signals. In this work, the multiscale hierarchical surface of reed leaves is templated to prepare CNTs/PDMS films, and a new type of electronic skin (E‐skin) is constructed. Due to its unique multi‐scale sensing layer surface, E‐skin exhibits a wide pressure detection range and ultrahigh sensitivity (235.95 kPa−1) and linearity (0.99 under 1.95–12.4 kPa). The memristor serving as artificial synapse is formed with HfO2 film as resistive switch layer, which has remarkable uniformity, large memory window of 102 and excellent plasticity. After integration of E‐skin with artificial synapse, the artificial synapse could be activated by the electrical information from the E‐skin to generate excitatory postsynaptic currents and the pressure information could be well retained by the memristor element. An artificial tactile perceptual neuron system with excellent retention performance, good stability and accurately recognition memory is realized, and meanwhile, the accurate decoding of Morse code by recognizing external pressure is realized. The present work transduces the concept of carbon‐based biology into a silicon‐based electronic device, which is of great significance to the development of hardware architecture in artificial intelligence.
科研通智能强力驱动
Strongly Powered by AbleSci AI