This paper proposes a simple locally active memristor whose state equation only consists of linear terms and an easily implementable function and design for its circuit emulator. The effectiveness of the circuit emulator is validated using breadboard experiments and numerical simulations. The proposed circuit emulator has a simple structure, which not only reduces costs but also increases its application value. The power-off plot and DC V-I Loci verify that the memristor is nonvolatile and locally active, respectively. This locally active memristor exhibits low cost, easy physical implementation, and wide locally active region characteristics. Furthermore, a neural model composed of two 2D HR neurons based on the proposed locally active memristor is established. It is found that complicated firing behaviors occur only within the locally active region. A new phenomenon is also discovered that shows coexisting position symmetry for different attractors. The firing pattern transition is then observed via bifurcation analysis. The results of MATLAB simulations are verified from the hardware circuits.
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Research Article|
May 08 2020
A simple locally active memristor and its application in HR neurons
Yumei Tan;
Yumei Tan
a)
College of Computer Science and Electronic Engineering, Hunan University
, Changsha 410082, China
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Chunhua Wang
Chunhua Wang
b)
College of Computer Science and Electronic Engineering, Hunan University
, Changsha 410082, China
b)Author to whom correspondence should be addressed: wch1227164@hnu.edu.cn
Search for other works by this author on:
a)
E-mail: tan5191214@163.com
b)Author to whom correspondence should be addressed: wch1227164@hnu.edu.cn
Chaos 30, 053118 (2020)
Article history
Received:
December 20 2019
Accepted:
April 22 2020
Citation
Yumei Tan, Chunhua Wang; A simple locally active memristor and its application in HR neurons. Chaos 1 May 2020; 30 (5): 053118. https://doi.org/10.1063/1.5143071
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