MEMRISTOR CELLULAR AUTOMATA AND MEMRISTOR DISCRETE-TIME CELLULAR NEURAL NETWORKS

被引：256

作者：

Itoh, Makoto ^{[1
]}

Chua, Leon O. ^{[2
]}

机构：

[1] Fukuoka Inst Technol, Dept Informat & Commun Engn, Fukuoka 8110295, Japan

[2] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA

来源：

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2009年 / 19卷 / 11期

关键词：

Memristor; cellular automaton; CNN; difference equation; complex behavior; image processing; logical operation; multitasking; RSA; ELEMENT; CNN;

D O I：

10.1142/S0218127409025031

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, we design a cellular automaton and a discrete-time cellular neural network (DTCNN) using nonlinear passive memristors. They can perform a number of applications, such as logical operations, image processing operations, complex behaviors, higher brain functions, RSA algorithm, etc. By modifying the characteristics of nonlinear memristors, the memristor DTCNN can perform almost all functions of memristor cellular automaton. Furthermore, it can perform more than one function at the same time, that is, it allows multitasking.

引用

页码：3605 / 3656

页数：52

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