Alternating chimera states and synchronization in multilayer neuronal networks with ephaptic intralayer coupling DOI
Heng Li, Yong Xie

Cognitive Neurodynamics, Journal Year: 2024, Volume and Issue: 18(6), P. 3847 - 3858

Published: Aug. 31, 2024

Language: Английский

Multiscroll hopfield neural network with extreme multistability and its application in video encryption for IIoT DOI
Fei Yu, Yue Lin, Wei Yao

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 182, P. 106904 - 106904

Published: Nov. 17, 2024

Language: Английский

Citations

22

A class of n-D Hamiltonian conservative chaotic systems with three-terminal memristor: Modeling, dynamical analysis, and FPGA implementation DOI

Yuan Ye,

Fei Yu, Boon Thong Tan

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 1, 2025

Memristors are commonly used to introduce various chaotic systems and can be enhance their characteristics. However, due the strict construction conditions of Hamiltonian systems, there has been limited research on development memristive conservative (MHCCSs). In this work, a method for constructing three-terminal memristors is proposed, incorporated into system, resulting in class n-D MHCCS. Based method, we model 4D MHCCS as standard detailed dynamic analysis. The analysis reveals that exhibits complex behaviors, including conservativeness, symmetry, chaos depending parameters, extreme multistability, under wide parameter range. shows not only retains favorable characteristics system but also more nonlinear dynamics incorporation memristors, thereby further enhancing its Furthermore, pseudo-random number generator based excellent randomness terms NIST test. Finally, physical realizability verified through Field Programmable Gate Array experiments. This study demonstrates constructed MHCCSs good entropy source applied embedded secure communication, cryptographic generator.

Language: Английский

Citations

4

Dynamic Analysis and Implementation of FPGA for a New 4D Fractional-Order Memristive Hopfield Neural Network DOI Creative Commons
Fei Yu,

Shankou Zhang,

Dan Su

et al.

Fractal and Fractional, Journal Year: 2025, Volume and Issue: 9(2), P. 115 - 115

Published: Feb. 13, 2025

Memristor-based fractional-order chaotic systems can record information from the past, present, and future, describe real world more accurately than integer-order systems. This paper proposes a novel memristor model verifies its characteristics through pinched loop (PHL) method. Subsequently, new memristive Hopfield neural network (4D-FOMHNN) is introduced to simulate induced current, accompanied by Caputo’s definition of fractional order. An Adomian decomposition method (ADM) employed for system solution. By varying parameters order 4D-FOMHNN, rich dynamic behaviors including transient chaos, coexistence attractors are observed using methods such as bifurcation diagrams Lyapunov exponent analysis. Finally, proposed FOMHNN implemented on field-programmable gate array (FPGA), oscilloscope observation results consistent with MATLAB numerical simulation results, which further validate theoretical analysis provide basis application in field encryption.

Language: Английский

Citations

3

A hybrid neural-computational paradigm for complex firing patterns and excitability transitions in fractional Hindmarsh-Rose neuronal models DOI

Muhammad Junaid Ali Asif Raja,

Shahzaib Ahmed Hassan,

Chuan‐Yu Chang

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 193, P. 116149 - 116149

Published: Feb. 18, 2025

Language: Английский

Citations

2

Design and Analysis of a Novel Fractional-Order System with Hidden Dynamics, Hyperchaotic Behavior and Multi-Scroll Attractors DOI Creative Commons
Fei Yu, Shuai Xu, Yue Lin

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(14), P. 2227 - 2227

Published: July 17, 2024

The design of chaotic systems with complex dynamic behaviors has always been a key aspect chaos theory in engineering applications. This study introduces novel fractional-order system characterized by hidden dynamics, hyperchaotic behavior, and multi-scroll attractors. By employing fractional calculus, the system’s order is extended beyond integer values, providing richer behavior. dynamics are revealed through detailed numerical simulations theoretical analysis, demonstrating attractors bifurcations. nature verified Lyapunov exponents phase portraits, showing multiple positive that indicate higher degree unpredictability complexity. Additionally, analyzed, showcasing their potential for secure communication encryption approach enhances flexibility adaptability, making it suitable wide range practical uses, including data transmission, image encryption, signal processing. Finally, based on proposed system, we designed simple efficient medical scheme analyzed its security performance. Experimental results validate findings, confirming robustness effectiveness generating behaviors.

Language: Английский

Citations

12

Analysis of the Dynamical Behavior of Discrete Memristor-Coupled Scale-Free Neural Networks DOI

Weizheng Deng,

Minglin Ma

Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: 91, P. 966 - 976

Published: Aug. 27, 2024

Language: Английский

Citations

11

A memory failure computational model in Alzheimer-like disease via continuous delayed Hopfield network with Lurie control system based healing DOI
Rafael Fernandes Pinheiro, Diego Colón, Rui Fonseca-Pinto

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129967 - 129967

Published: March 1, 2025

Language: Английский

Citations

1

Color video encryption transmission in IoT based on memristive hopfield neural network DOI
Fei Yu,

Chaoran Wu,

Si Xu

et al.

Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 19(1)

Published: Dec. 6, 2024

Language: Английский

Citations

4

Hyperchaotic System-Based PRNG and S-Box Design for a Novel Secure Image Encryption DOI Creative Commons
Erman Özpolat, Vedat Çelik, Arif Gülten

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(3), P. 299 - 299

Published: March 13, 2025

A hyperchaotic system was analyzed in this study, and its behavior confirmed through dynamic analysis. The utilized to develop a pseudo-random number generator (PRNG), whose statistical reliability validated NIST SP800-22 tests, demonstrating suitability for cryptographic applications. Additionally, 16 × S-box constructed based on the system, ensuring high nonlinearity strong performance. comparative analysis revealed that proposed structure outperforms existing designs terms of security efficiency. new image encryption algorithm designed using PRNG S-box, performance evaluated 512 grayscale images, including commonly used baboon pepper images. decryption process successfully restored original confirming scheme’s reliability. Security evaluations, histogram analysis, entropy measurement, correlation resistance differential noise attacks, were conducted. findings showed suggested current techniques This study contributes advancement robust generation, secure design, efficient algorithms systems, offering promising approach communication data protection.

Language: Английский

Citations

0

A dual-neuron memristive hopfield neural network and its application in image encryption DOI
Lin Liu, Yi Huang, Zuguo Chen

et al.

Nonlinear Dynamics, Journal Year: 2025, Volume and Issue: unknown

Published: April 5, 2025

Language: Английский

Citations

0