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Simulating tactile and visual multisensory behaviour in humans based on an MoS_(2) field effect transistor

作     者:Jie You Liming Wang Yichi Zhang Dongdong Lin Bo Wang Zhao Han Ningning Zhang Tian Miao Maliang Liu Zuimin Jiang Hui Guo Yimeng Zhang Jincheng Zhang Huiyong Hu Jie You;Liming Wang;Yichi Zhang;Dongdong Lin;Bo Wang;Zhao Han;Ningning Zhang;Tian Miao;Maliang Liu;Zuimin Jiang;Hui Guo;Yimeng Zhang;Jincheng Zhang;Huiyong Hu

作者机构:Wide Bandgap Semiconductor Technology Disciplines State Key Laboratory School of MicroelectronicsXidian UniversityXi’an 710071China Qian Xuesen Collaborative Research Center of Astrochemistry and Space Life SciencesDepartment of Microelectronic Science and EngineeringNingbo UniversityNingbo 315211China Department of PhysicsFudan UniversityShanghai 200433China 

出 版 物:《Nano Research》 (纳米研究(英文版))

年 卷 期:2023年第16卷第5期

页      面:7405-7412页

核心收录:

学科分类:08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0703[理学-化学] 0702[理学-物理学] 

基  金:the National Key Research and Development Program of China(No.2019YFB2204400) the Natural Science Basic Research Program of Shaanxi(No.2022JQ-650). 

主  题:visual tactile multisensory system motion scenarios 

摘      要:A visual and tactile multisensory integrated system is essential for human walking due to the demand for real-time interactions between perception and action.Here,a piezoresistor and MoS_(2)field effect transistor are combined to construct an artificial integration nervous system to simulate perception and synaptic plasticity.The key characteristics of synaptic plasticity are successfully demonstrated by individual pressure signals,individual optical signals,the synergy of optical and pressure signals,which are based on the electron trapping–detrapping mechanism at the MoS_(2)/SiO_(2)interface.We demonstrate that perception under synergy is stronger than perception under optical or pressure signal alone,which is similar to a biological system.Moreover,various distinguishable motion scenarios(combination of the following conditions:external lighting environment of day or night,flat or rough road,movement state of walking or running)are simulated and verified by adjusting the amplitude and frequency of the optical and pressure signals.

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