A Cu-Doped TiO2-x Nanoscale Memristor With Application to Heterogeneous Coupled Neurons

Fang Yuan; Xiangcheng Yu; Yue Deng; Yuxia Li; Guanrong Chen

doi:10.1109/TIE.2023.3319716

A Cu-Doped TiO_2-xNanoscale Memristor With Application to Heterogeneous Coupled Neurons

Fang Yuan, Xiangcheng Yu, Yue Deng, Yuxia Li^*, Guanrong Chen

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

19 Citations (Scopus)

Abstract

This article introduces Cu-doped TiO_2-_x nanoscale memristors into a heterogeneous coupled neuronal system constructed by two-dimensional Hindmarsh–Rose and Fitzhugh–Nagumo neurons to simulate electromagnetic induction. The proposed memristive coupled neurons can generate various firing activities, including periodic spiking firing pattern, transient chaos pattern, double chaotic firing pattern, and some other complex firing patterns. In addition, the phase synchronization of coupled neurons is analyzed based on the coupling strength. Finally, an experimental circuit is built to explore the effect of physical memristors on neuronal firing activities, which confirms the correctness of the theoretical analysis.

© 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

Original language	English
Pages (from-to)	9480-9488
Journal	IEEE Transactions on Industrial Electronics
Volume	71
Issue number	8
Online published	10 Oct 2023
DOIs	https://doi.org/10.1109/TIE.2023.3319716
Publication status	Published - Aug 2024

Research Keywords

Behavioral sciences
Biological system modeling
Coupled neurons
firing pattern
Hysteresis
Memristors
Nanoscale devices
Neurons
phase synchronization
physical memristor
Synchronization

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Cite this

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title = "A Cu-Doped TiO2-x Nanoscale Memristor With Application to Heterogeneous Coupled Neurons",

abstract = "This article introduces Cu-doped TiO2-x nanoscale memristors into a heterogeneous coupled neuronal system constructed by two-dimensional Hindmarsh–Rose and Fitzhugh–Nagumo neurons to simulate electromagnetic induction. The proposed memristive coupled neurons can generate various firing activities, including periodic spiking firing pattern, transient chaos pattern, double chaotic firing pattern, and some other complex firing patterns. In addition, the phase synchronization of coupled neurons is analyzed based on the coupling strength. Finally, an experimental circuit is built to explore the effect of physical memristors on neuronal firing activities, which confirms the correctness of the theoretical analysis.{\textcopyright} 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. ",

keywords = "Behavioral sciences, Biological system modeling, Coupled neurons, firing pattern, Hysteresis, Memristors, Nanoscale devices, Neurons, phase synchronization, physical memristor, Synchronization",

author = "Fang Yuan and Xiangcheng Yu and Yue Deng and Yuxia Li and Guanrong Chen",

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T1 - A Cu-Doped TiO2-x Nanoscale Memristor With Application to Heterogeneous Coupled Neurons

AU - Yuan, Fang

AU - Yu, Xiangcheng

AU - Deng, Yue

AU - Li, Yuxia

AU - Chen, Guanrong

PY - 2024/8

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N2 - This article introduces Cu-doped TiO2-x nanoscale memristors into a heterogeneous coupled neuronal system constructed by two-dimensional Hindmarsh–Rose and Fitzhugh–Nagumo neurons to simulate electromagnetic induction. The proposed memristive coupled neurons can generate various firing activities, including periodic spiking firing pattern, transient chaos pattern, double chaotic firing pattern, and some other complex firing patterns. In addition, the phase synchronization of coupled neurons is analyzed based on the coupling strength. Finally, an experimental circuit is built to explore the effect of physical memristors on neuronal firing activities, which confirms the correctness of the theoretical analysis.© 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

AB - This article introduces Cu-doped TiO2-x nanoscale memristors into a heterogeneous coupled neuronal system constructed by two-dimensional Hindmarsh–Rose and Fitzhugh–Nagumo neurons to simulate electromagnetic induction. The proposed memristive coupled neurons can generate various firing activities, including periodic spiking firing pattern, transient chaos pattern, double chaotic firing pattern, and some other complex firing patterns. In addition, the phase synchronization of coupled neurons is analyzed based on the coupling strength. Finally, an experimental circuit is built to explore the effect of physical memristors on neuronal firing activities, which confirms the correctness of the theoretical analysis.© 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

KW - Behavioral sciences

KW - Biological system modeling

KW - Coupled neurons

KW - firing pattern

KW - Hysteresis

KW - Memristors

KW - Nanoscale devices

KW - Neurons

KW - phase synchronization

KW - physical memristor

KW - Synchronization

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DO - 10.1109/TIE.2023.3319716

M3 - RGC 21 - Publication in refereed journal

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JO - IEEE Transactions on Industrial Electronics

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