记忆电阻器
模式(计算机接口)
油藏计算
光电子学
材料科学
计算机科学
电气工程
工程类
操作系统
人工智能
人工神经网络
循环神经网络
作者
Qiaoling Tian,Kuo Xun,Zhuangzhuang Li,Xiaoning Zhao,Ya Lin,Ye Tao,Zhongqiang Wang,Daniele Ielmini,Haiyang Xu,Yi‐Chun Liu
标识
DOI:10.1088/1674-4926/24100008
摘要
Abstract Optoelectronic memristor is generating growing research interest for high efficient computing and sensing-memory applications. In this work, an optoelectronic memristor with Au/a-C:Te/Pt structure is developed. Synaptic functions, i.e., excitatory post-synaptic current and pair-pulse facilitation are successfully mimicked with the memristor under electrical and optical stimulations. More importantly, the device exhibited distinguishable response currents by adjusting 4-bit input electrical/optical signals. A multi-mode reservoir computing (RC) system is constructed with the optoelectronic memristors to emulate human tactile-visual fusion recognition and an accuracy of 98.7% is achieved. The optoelectronic memristor provides potential for developing multi-mode RC system.
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