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Article
Computer Science, Hardware & Architecture
Hairong Lin et al.
Summary: In this article, a novel method for designing multistructure chaotic attractors in memristive neural networks is proposed. By utilizing a multipiecewise memristive synapse control in a Hopfield neural network (HNN), various complex multistructure chaotic attractors can be produced. Theoretical analysis and numerical simulation demonstrate that multiple multistructure chaotic attractors with different topologies can be generated by conducting the memristive synapse-control in different synaptic coupling positions. Meanwhile, the number of structures can be easily controlled with the memristor control parameters. Furthermore, a module-based analog memristive neural network circuit is designed, allowing the arbitrary number of multistructure attractors to be obtained by selecting corresponding control voltages. Finally, a novel image encryption cryptosystem with a permutation-diffusion structure is designed and evaluated, exhibiting its excellent encryption performances, especially the extremely high key sensitivity.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Anamika Raj et al.
Summary: This paper presents a robust design of a dual-mode grounded memristor emulator using OTA and DVCC, with an operating voltage of 50mV and frequency of 1MHz. The emulator, implemented in Cadence Virtuoso 0.18μm CMOS technology, shows improved performance in terms of bandwidth and tunability after sensitivity analysis of various parameters. By adjusting the DVCC's input voltage, the emulator can operate in both incremental and decremental modes.
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
(2022)
Article
Mathematics, Interdisciplinary Applications
H. Wu et al.
Summary: This paper presents an asymmetric memristive diode-bridge (AMD) emulator and investigates its application in the AMD-based Shinriki oscillator. By introducing a DC-offset, the asymmetric voltage-current loci are emulated and the DC-offset induced kinetic behaviors are studied. Experimental results validate the numerical analysis.
CHAOS SOLITONS & FRACTALS
(2022)
Review
Engineering, Mechanical
Minglin Ma et al.
Summary: This paper introduces a locally active discrete memristor model for the first time and analyzes its dynamical behaviors using various methods. The results show that applying the locally active discrete memristor significantly improves the chaotic properties of the map and demonstrates the existence of attractors.
NONLINEAR DYNAMICS
(2022)
Article
Physics, Multidisciplinary
Janarthanan Ramadoss et al.
Summary: This study investigates the impact of broken symmetry on the dynamics of the Shinriki oscillator, highlighting the existence of multiple coexisting asymmetric chaotic and periodic attractors. Experimental and theoretical results provide insights into the influence of memristors on the global behavior of chaotic oscillators.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Mourina Ghosh et al.
Summary: This research proposes a floating memristor emulator configuration based on n-type MOSFETs, which enables a simple design without any sophisticated complexity. The performance of the memristor is verified through experiments and simulations, and it shows potential applications in modulation and demodulation.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2022)
Article
Computer Science, Artificial Intelligence
Huanhuan Ran et al.
Summary: In this article, a novel edge computing system is proposed for image recognition using a memristor-based blaze block circuit. The system combines memristive convolutional neural network (MCNN) layers, single-memristive blaze blocks (SMBBs), double-memristive blaze blocks (DMBBs), global avg-pooling (GAP) layers, and memristive fully connected (MFC) layers. The circuit achieves improved computing resources, calculation time, and power consumption compared to traditional methods. Experimental results show that the proposed memristor-based circuit achieves high accuracy on the CIFAR-10 dataset.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Han Zhao et al.
Summary: This article reviews recent progress on memristor-based signal processing methods from the perspective of edge computing, focusing on signal preprocessing, feature extraction, signal classification and regression, and end-to-end signal processing. Memristors serve as critical accelerators to greatly improve system performance, particularly in terms of power efficiency and processing speed. The article also discusses existing challenges and future outlooks for memristor-based signal processing systems.
TSINGHUA SCIENCE AND TECHNOLOGY
(2022)
Article
Automation & Control Systems
Hairong Lin et al.
Summary: This article focuses on coupled neural networks with brain-like chaotic dynamics and their application in biomedical image encryption. A memristive-coupled neural network (MCNN) model is proposed and its dynamical behaviors are studied. Numerical results show that the MCNN can generate highly complex hyperchaotic attractors and boost the attractor positions by switching their initial states. A biomedical image encryption scheme is designed and its performance is evaluated.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Mathematics, Applied
Qiuzhen Wan et al.
Summary: This paper investigates the behavior of neural networks in complex electromagnetic environments. By simulating the effects of electromagnetic induction and electromagnetic radiation on neural networks, it is found that the system has an unstable origin equilibrium point and exhibits complex dynamic behaviors from regular motions to chaotic motions and back to regular motions. The experimental results validate the numerical analysis and simulations.
Article
Mathematics, Interdisciplinary Applications
Chunbiao Li et al.
Summary: The introduction of surfaces of equilibria in a dynamical system is a useful tool for constructing a chaotic repellor. There are infinitely many available functions for transforming an attractor to a repellor. Chaotic repellors can be constructed from various types of chaotic attractors, and offset boosting of a variable driven by embedded functions provides flexible control over system attractors and coexisting repellors.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
Liubov Parshina et al.
Summary: Amorphous thin TaOx films with different oxygen vacancy content levels were fabricated by pulsed laser deposition at different oxygen pressures, showing low resistivity and reliable resistive switching (RS) performance for non-volatile memristors. The study found that the TaO x phase with defects associated with oxygen deficiency appeared only at low oxygen pressures, leading to low resistivity values and reliable RS performance.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Engineering, Electrical & Electronic
Xiao-Yuan Wang et al.
Summary: This paper presents the first experimental demonstration of a ternary memristor-CMOS logic family, showing significant improvements in data density and switching speed compared to conventional CMOS logic. The study systematically designs, simulates and experimentally verifies primitive logic functions, providing a promising foundation for practical implementations where high data density is critical.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Engineering, Electrical & Electronic
Peng Liu et al.
Summary: This paper investigates the impact of bridge defects and introduces two new fault models: undefined coupling fault and dynamic undefined coupling fault. An enhanced March algorithm is designed to detect all modeled faults, while a March RC algorithm based on new reference currents is proposed to reduce test time. Analytical results show that the proposed test algorithms outperform previous methods in detecting all modeled faults.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Computer Science, Hardware & Architecture
John Vista et al.
Summary: This research introduces a floating memristor model using VDTA and passive components, demonstrating both incremental and decremental modes of operation. The performance of the memristor is analyzed through simulation and experiment, with application perspectives including Pavlovian associative learning experiments.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2021)
Article
Engineering, Mechanical
Zhijun Li et al.
Summary: Local activity is considered as the origin of complexity, with locally active memristor proposed in this study exhibiting multiple firing patterns under different initial conditions. The study also investigates phase synchronization of synapse-coupled neurons. Circuit simulations are included to confirm the effectiveness of numerical simulations.
NONLINEAR DYNAMICS
(2021)
Article
Mathematics, Interdisciplinary Applications
Leandre Kamdjeu Kengne et al.
Summary: This study investigates the dynamics of memristor-based chaotic circuits with varying symmetries. The intrinsic nonlinearity of the memristor leads to a variety of nonlinear and complex behaviors, including the coexistence of symmetric and asymmetric attractors, coexisting symmetric and asymmetric bubbles of bifurcation, and symmetric and asymmetric double-scroll chaotic attractors. Experimental investigations support the results of theoretical and numerical studies.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
A. Chithra et al.
Summary: This paper reveals novel complex phenomena in a memristive diode bridge-based MLC circuit, including the coexistence of multiple attractors and double-transient chaos. Numerical simulation tools and real-laboratory measurements confirm the observed complex dynamical behaviors in the memristive system.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2021)
Article
Engineering, Mechanical
Wenli Xie et al.
Summary: Fractional-order calculus is used to develop a memristor with multistable locally active characteristics, showing stronger memory properties than integer-order memristors. This memristor is then applied in a chaotic system, resulting in new phenomena such as transient transitions and state jumps. Circuit simulations confirm the validity of the numerical results.
NONLINEAR DYNAMICS
(2021)
Article
Engineering, Mechanical
Chunlai Li et al.
Summary: This paper introduces an S-type memristor with tangent nonlinearity, capable of generating stable pinched hysteresis loops with bistable and locally active properties. By replacing a resistance in a Wien-bridge oscillator circuit with the S-type BLAM memristor, chaotic oscillations and complex dynamic behavior can be achieved, confirmed by analog circuit experiments.
NONLINEAR DYNAMICS
(2021)
Article
Automation & Control Systems
Yesheng Li et al.
Summary: Brain-inspired neuromorphic computing shows potential in overcoming the energy and speed limitations of traditional von Neumann computing. The use of memristor crossbar arrays is key in constructing complex artificial neural networks and emulating the hierarchical organization of the human brain. Recommendations for further optimization at device, circuit, and algorithm levels are provided for the hardware implementation of neuromorphic computing systems based on large-scale CBAs.
ADVANCED INTELLIGENT SYSTEMS
(2021)
Article
Physics, Multidisciplinary
Fangyuan Li et al.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2020)
Review
Nanoscience & Nanotechnology
Mohanbabu Bharathi et al.
Article
Computer Science, Hardware & Architecture
John Vista et al.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
(2019)
Article
Engineering, Mechanical
Ning Wang et al.
NONLINEAR DYNAMICS
(2019)
Article
Mathematics, Interdisciplinary Applications
Raoul Blaise Wafo Tekam et al.
CHAOS SOLITONS & FRACTALS
(2019)
Article
Computer Science, Hardware & Architecture
Jacques Kengne et al.
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
(2019)
Article
Engineering, Electrical & Electronic
Abdullah Yesil
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2018)
Article
Engineering, Electrical & Electronic
Bocheng Bao et al.
INTERNATIONAL JOURNAL OF ELECTRONICS
(2018)
Article
Engineering, Electrical & Electronic
Rajeev Kumar Ranjan et al.
MICROELECTRONICS JOURNAL
(2017)
Article
Engineering, Mechanical
Chunbiao Li et al.
NONLINEAR DYNAMICS
(2017)
Article
Engineering, Electrical & Electronic
C. Sanchez-Lopez et al.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2017)
Article
Engineering, Mechanical
Huagan Wu et al.
NONLINEAR DYNAMICS
(2016)
Article
Computer Science, Hardware & Architecture
Muhammad Khalid et al.
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
(2016)
Article
Mathematics, Interdisciplinary Applications
S. Sabarathinam et al.
CHAOS SOLITONS & FRACTALS
(2015)
Article
Mathematics, Interdisciplinary Applications
Bocheng Bao et al.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2014)
Article
Engineering, Electrical & Electronic
Abdullah Yesil et al.
MICROELECTRONICS JOURNAL
(2014)
Article
Engineering, Electrical & Electronic
F. Corinto et al.
ELECTRONICS LETTERS
(2012)
Article
Engineering, Electrical & Electronic
Hyongsuk Kim et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2012)
Article
Multidisciplinary Sciences
Dmitri B. Strukov et al.
