Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. A Cu-Doped TiO<sub>2-</sub> <i> <sub>x</sub> </i> Nanoscale Memristor With Application to Heterogeneous Coupled Neurons

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2023

A Cu-Doped TiO<sub>2-</sub> <i> <sub>x</sub> </i> Nanoscale Memristor With Application to Heterogeneous Coupled Neurons

0 Datasets

0 Files

English
2023
IEEE Transactions on Industrial Electronics
Vol 71 (8)
DOI: 10.1109/tie.2023.3319716

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Guanrong Chen
Guanrong Chen

City University Of Hong Kong

Verified
Yuan Fang
Xiangcheng Yu
Yue Deng
+2 more

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.

How to cite this publication

Yuan Fang, Xiangcheng Yu, Yue Deng, Yuxia Li, Guanrong Chen (2023). A Cu-Doped TiO<sub>2-</sub> <i> <sub>x</sub> </i> Nanoscale Memristor With Application to Heterogeneous Coupled Neurons. IEEE Transactions on Industrial Electronics, 71(8), pp. 9480-9488, DOI: 10.1109/tie.2023.3319716.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2023

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

IEEE Transactions on Industrial Electronics

DOI

10.1109/tie.2023.3319716

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access