Effect of the electromagnetic induction on a modified memristive neural map model-Reference-Cited by-同舟云学术

Effect of the electromagnetic induction on a modified memristive neural map model

Published:2023 Issue:10 Volume:20 Page:17849-17865
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Alexander Prasina¹,Parastesh Fatemeh²,Ismael Hamarash Ibrahim³⁴,Karthikeyan Anitha⁵⁶,Jafari Sajad²⁷,He Shaobo⁸

Affiliation:

1. Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai, India

2. Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran

3. Electrical Engineering Department, Salahaddin University-Erbil, Kirkuk Rd., Erbil, Kurdistan, Iraq

4. School of Computer Science and Engineering, University of Kurdistan Hewler, 40m St., Erbil, Kurdistan, Iraq

5. Department of Electronics and Communication Engineering, Vemu Institute of Technology, Chithoor, India

6. Department of Electronics and Communications Engineering and University Centre for Research & Development, Chandigarh University, Mohali-140413, Punjab

7. Health Technology Research Institute, Amirkabir University of Technology (Tehran Polytechnic), Iran

8. School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China

Abstract

<abstract> <p>The significance of discrete neural models lies in their mathematical simplicity and computational ease. This research focuses on enhancing a neural map model by incorporating a hyperbolic tangent-based memristor. The study extensively explores the impact of magnetic induction strength on the model's dynamics, analyzing bifurcation diagrams and the presence of multistability. Moreover, the investigation extends to the collective behavior of coupled memristive neural maps with electrical, chemical, and magnetic connections. The synchronization of these coupled memristive maps is examined, revealing that chemical coupling exhibits a broader synchronization area. Additionally, diverse chimera states and cluster synchronized states are identified and discussed.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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