纳米片
记忆电阻器
材料科学
光电子学
神经促进
神经形态工程学
纳米技术
突触
光子学
电压
低压
计算机科学
电子工程
神经科学
人工神经网络
电气工程
人工智能
兴奋性突触后电位
工程类
生物
抑制性突触后电位
作者
Peixian Lei,Huan Duan,Ling Qin,Xianhua Wei,Rui Tao,Zegao Wang,Feng Guo,Menglin Song,Wenjing Jie,Jianhua Hao
标识
DOI:10.1002/adfm.202201276
摘要
Abstract Artificial optoelectronic synapses with both electrical and light‐induced synaptic behaviors have recently been studied for applications in neuromorphic computing and artificial vision systems. However, the combination of visual perception and high‐performance information processing capabilities still faces challenges. In this work, the authors demonstrate a memristor based on 2D bismuth oxyiodide (BiOI) nanosheets that can exhibit bipolar resistive switching (RS) performance as well as electrical and light‐induced synaptic plasticity eminently suitable for low‐power optoelectronic synapses. The fabricated memristor exhibits high‐performance RS behaviors with a high ON/OFF ratio up to 10 5 , an ultralow SET voltage of ≈0.05 V which is one order of magnitude lower than that of most reported memristors based on 2D materials, and low power consumption. Furthermore, the memristor demonstrates not only electrical voltage‐driven long‐term potentiation, depression plasticity, and paired‐pulse facilitation, but also light‐induced short‐ and long‐term plasticity. Moreover, the photonic synapse can be used to simulate the “learning experience” behaviors of human brain. Consequently, not only the memristor based on BiOI nanosheets shows ultra‐low SET voltage and low‐power consumption, but also the optoelectronic synapse provides new material and strategy to construct low‐power retina‐like vision sensors with functions of perceiving and processing information.
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