Review on memristor application in neural circuit and network

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 187, P. 115361 - 115361

Published: Aug. 8, 2024

Language: Английский

---

Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor

Neural Networks, Journal Year: 2024, Volume and Issue: 178, P. 106408 - 106408

Published: May 22, 2024

Language: Английский

---

Symmetric multi-double-scroll attractors in Hopfield neural network under pulse controlled memristor

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(16), P. 14463 - 14477

Published: June 8, 2024

Language: Английский

---

Grid Multibutterfly Memristive Neural Network With Three Memristive Systems: Modeling, Dynamic Analysis, and Application in Police IoT

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(18), P. 29878 - 29889

Published: June 19, 2024

Language: Английский

---

Dynamics analysis and FPGA implementation of discrete memristive cellular neural network with heterogeneous activation functions

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 187, P. 115471 - 115471

Published: Sept. 4, 2024

Language: Английский

---

Dynamic Analysis and Implementation of FPGA for a New 4D Fractional-Order Memristive Hopfield Neural Network

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

---

An Image Encryption Algorithm Based on Tabu Search and Hyperchaos

International Journal of Bifurcation and Chaos, Journal Year: 2024, Volume and Issue: 34(14)

Published: Oct. 5, 2024

In this paper, we propose a digital image encryption scheme based on Tabu Search (TS) algorithm and Chen’s hyperchaos system. First, in order to enhance the security of resist known-plaintext attack, key is associated with ordinary image, hash value generated by used as initial hyperchaotic Moreover, TS obtain optimal subsequence scramble sub-block which ensures scrambling effect algorithm. addition, for sake minimizing correlation neighborhood pixels strengthening scrambling, divided into blocks diffusion. Through simulation experiments, sensitivity, differential attack pure ciphertext are analyzed. Compared other schemes, results verify effectiveness reliability proposed scheme.

Language: Английский

---

Design and Analysis of a Novel Fractional-Order System with Hidden Dynamics, Hyperchaotic Behavior and Multi-Scroll Attractors

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

---

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

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

Published: Aug. 27, 2024

Language: Английский

---

Single direction, grid and spatial multi-scroll attractors in Hopfield neural network with the variable number memristive self-connected synapses

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 189, P. 115584 - 115584

Published: Oct. 12, 2024

Language: Английский

---