神经形态工程学
计算机科学
冯·诺依曼建筑
记忆电阻器
石墨烯
氧化物
计算机体系结构
纳米技术
材料科学
人工神经网络
人工智能
电气工程
工程类
操作系统
冶金
作者
Lu Wang,Shutao Wei,Jiachu Xie,Dianzhong Wen
出处
期刊:ACS Sustainable Chemistry & Engineering
[American Chemical Society]
日期:2023-02-01
卷期号:11 (6): 2229-2237
被引量:7
标识
DOI:10.1021/acssuschemeng.2c05574
摘要
As a promising solution for overcoming the bottlenecks of traditional von Neumann computers, the hardware implementation of neuromorphic computing has attracted increasing interest. High-performance artificial synapses are the basic units of brain-like chips and are important for achieving efficient neuromorphic calculations. This paper reports the fabrication of Al/chitosan (CS)/graphene oxide (GO)/indium tin oxide (ITO) artificial synapses. The electronic insulation and proton conduction properties of CS enable it to conduct electricity alone and accelerate the movement of oxygen vacancies in GO. In particular, an experimental device successfully simulated the Pavlov associative memory experiment and was made to exhibit both short-term and long-term memory capabilities by modifying the external stimuli. This device provides a possible avenue to realize neuromorphic engineering on the basis of biomemristors.
科研通智能强力驱动
Strongly Powered by AbleSci AI