记忆电阻器
神经形态工程学
可扩展性
计算机科学
电子工程
CMOS芯片
非线性系统
测距
计算机体系结构
计算机工程
人工神经网络
工程类
人工智能
电信
物理
量子力学
数据库
作者
Shahar Kvatinsky,Eby G. Friedman,Avinoam Kolodny,Uri Weiser
出处
期刊:IEEE Transactions on Circuits and Systems I-regular Papers
[Institute of Electrical and Electronics Engineers]
日期:2013-01-01
卷期号:60 (1): 211-221
被引量:601
标识
DOI:10.1109/tcsi.2012.2215714
摘要
Memristive devices are novel devices, which can be used in applications ranging from memory and logic to neuromorphic systems. A memristive device offers several advantages: nonvolatility, good scalability, effectively no leakage current, and compatibility with CMOS technology, both electrically and in terms of manufacturing. Several models for memristive devices have been developed and are discussed in this paper. Digital applications such as memory and logic require a model that is highly nonlinear, simple for calculations, and sufficiently accurate. In this paper, a new memristive device model is presented-TEAM, ThrEshold Adaptive Memristor model. This model is flexible and can be fit to any practical memristive device. Previously published models are compared in this paper to the proposed TEAM model. It is shown that the proposed model is reasonably accurate and computationally efficient, and is more appropriate for circuit simulation than previously published models.
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