Fractional-Order Memristive Wilson Neuron Model: Dynamical Analysis and Synchronization Patterns

Fractional nonlinear systems have been considered in many fields due to their ability to bring memory-dependent properties into various systems. Therefore, using fractional derivatives to model real-world phenomena, such as neuronal dynamics, is of significant importance. This paper presents the fra...

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Main Authors: Gayathri Vivekanandan, Mahtab Mehrabbeik, Hayder Natiq, Karthikeyan Rajagopal, Esteban Tlelo-Cuautle
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/16/2827
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author Gayathri Vivekanandan
Mahtab Mehrabbeik
Hayder Natiq
Karthikeyan Rajagopal
Esteban Tlelo-Cuautle
author_facet Gayathri Vivekanandan
Mahtab Mehrabbeik
Hayder Natiq
Karthikeyan Rajagopal
Esteban Tlelo-Cuautle
author_sort Gayathri Vivekanandan
collection DOAJ
description Fractional nonlinear systems have been considered in many fields due to their ability to bring memory-dependent properties into various systems. Therefore, using fractional derivatives to model real-world phenomena, such as neuronal dynamics, is of significant importance. This paper presents the fractional memristive Wilson neuron model and studies its dynamics as a single neuron. Furthermore, the collective behavior of neurons is researched when they are locally and diffusively coupled in a ring topology. It is found that the fractional-order neurons are bistable in some values of the fractional order. Additionally, complete synchronization, lag synchronization, phase synchronization, and sine-like synchronization patterns can be observed in the constructed network with different fractional orders.
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spelling doaj.art-ed771851ce5b4e30af9b8567a5861eef2023-12-03T14:02:51ZengMDPI AGMathematics2227-73902022-08-011016282710.3390/math10162827Fractional-Order Memristive Wilson Neuron Model: Dynamical Analysis and Synchronization PatternsGayathri Vivekanandan0Mahtab Mehrabbeik1Hayder Natiq2Karthikeyan Rajagopal3Esteban Tlelo-Cuautle4Centre for Artificial Intelligence, Chennai Institute of Technology, Chennai 600069, IndiaDepartment of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 159163-4311, IranInformation Technology Collage, Imam Ja’afar Al-Sadiq University, Baghdad 10001, IraqCentre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, IndiaINAOE, Department of Electronics, Luis Enrique Erro No.1, Santa María Tonanzintla, San Andrés Cholula, Puebla 72840, MexicoFractional nonlinear systems have been considered in many fields due to their ability to bring memory-dependent properties into various systems. Therefore, using fractional derivatives to model real-world phenomena, such as neuronal dynamics, is of significant importance. This paper presents the fractional memristive Wilson neuron model and studies its dynamics as a single neuron. Furthermore, the collective behavior of neurons is researched when they are locally and diffusively coupled in a ring topology. It is found that the fractional-order neurons are bistable in some values of the fractional order. Additionally, complete synchronization, lag synchronization, phase synchronization, and sine-like synchronization patterns can be observed in the constructed network with different fractional orders.https://www.mdpi.com/2227-7390/10/16/2827fractional-order derivativememristive Wilson modelsynchronizationmultistability
spellingShingle Gayathri Vivekanandan
Mahtab Mehrabbeik
Hayder Natiq
Karthikeyan Rajagopal
Esteban Tlelo-Cuautle
Fractional-Order Memristive Wilson Neuron Model: Dynamical Analysis and Synchronization Patterns
Mathematics
fractional-order derivative
memristive Wilson model
synchronization
multistability
title Fractional-Order Memristive Wilson Neuron Model: Dynamical Analysis and Synchronization Patterns
title_full Fractional-Order Memristive Wilson Neuron Model: Dynamical Analysis and Synchronization Patterns
title_fullStr Fractional-Order Memristive Wilson Neuron Model: Dynamical Analysis and Synchronization Patterns
title_full_unstemmed Fractional-Order Memristive Wilson Neuron Model: Dynamical Analysis and Synchronization Patterns
title_short Fractional-Order Memristive Wilson Neuron Model: Dynamical Analysis and Synchronization Patterns
title_sort fractional order memristive wilson neuron model dynamical analysis and synchronization patterns
topic fractional-order derivative
memristive Wilson model
synchronization
multistability
url https://www.mdpi.com/2227-7390/10/16/2827
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AT haydernatiq fractionalordermemristivewilsonneuronmodeldynamicalanalysisandsynchronizationpatterns
AT karthikeyanrajagopal fractionalordermemristivewilsonneuronmodeldynamicalanalysisandsynchronizationpatterns
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