记忆电阻器
神经形态工程学
记忆晶体管
可扩展性
电压
计算机科学
电子工程
CMOS芯片
阈值电压
电阻随机存取存储器
电气工程
工程类
晶体管
人工神经网络
人工智能
数据库
作者
Shahar Kvatinsky,M. Nisvo Ramadan,Eby G. Friedman,Avinoam Kolodny
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2015-05-20
卷期号:62 (8): 786-790
被引量:825
标识
DOI:10.1109/tcsii.2015.2433536
摘要
Memristors are novel electrical devices used for a variety of applications, including memory, logic circuits, and neuromorphic systems. Memristive technologies are attractive due to their nonvolatility, scalability, and compatibility with CMOS. Numerous physical experiments have shown the existence of a threshold voltage in some physical memristors. Additionally, as shown in this brief, some applications require voltage-controlled memristors to operate properly. In this brief, a Voltage ThrEshold Adaptive Memristor (VTEAM) model is proposed to describe the behavior of voltage-controlled memristors. The VTEAM model extends the previously proposed ThrEshold Adaptive Memristor (TEAM) model, which describes current-controlled memristors. The VTEAM model has similar advantages as the TEAM model, i.e., it is simple, general, and flexible, and can characterize different voltage-controlled memristors. The VTEAM model is accurate (below 1.5% in terms of the relative root-mean-square error) and computationally efficient as compared with existing memristor models and experimental results describing different memristive technologies.
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