Bifurcations and mixed mode oscillations in a bi-stable plasma model with slow parametric excitation DOI
Zhenyang Chen

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2024, Volume and Issue: 34(7)

Published: July 1, 2024

In this study, considering a bi-stable plasma model with slow parametric excitation, the bifurcation of periodic and chaotic responses as well resulting fast-slow motions is discussed analytically numerically. For nonautonomous fast sub-system, generalized harmonic balancing method utilized to obtain an averaged system. Bifurcation analysis about system shows that critical manifolds form S-shape structure. Meanwhile, supercritical subcritical period doubling (PD) occurs on upper branch simultaneously. As frequency external excitation changes, points limit cycle can present different relative locations. Moreover, additional structure induced by Cusp emanates from branch. On other hand, existence attractor corresponding boundary crisis phenomenon are verified using Melnikov basin attraction. The structures numerical diagram show good agreements analytical results. Considering two cases low-frequency dynamics discussed. It found that, when flow passing PD point, low magnitudes will lead patterns delay, i.e., typical one excessive which suppress PD. for passage effects no distinct influence. Thus, three transition mechanisms based explained, including "fold cycle-fold cycle" type, cycle-delayed PD" cycle-boundary crisis" type.

Language: Английский

Review on memristor application in neural circuit and network DOI
Feifei Yang, Jun Ma, Fuqiang Wu

et al.

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

Published: Aug. 8, 2024

Language: Английский

Citations

67

A novel memristor-coupled discrete neural network with multi-stability and multiple state transitions DOI Creative Commons
Fan Shi, Yinghong Cao,

Xianying Xu

et al.

The European Physical Journal Special Topics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Language: Английский

Citations

2

A memristive neuron with nonlinear membranes and network patterns DOI

Binchi Wang,

Yaquan Wang, Xiaofeng Zhang

et al.

Physics Letters A, Journal Year: 2025, Volume and Issue: 540, P. 130390 - 130390

Published: Feb. 22, 2025

Language: Английский

Citations

2

Dynamical Analysis of A Discrete Aihara Neuron under a Locally Active Memristor as Electromagnetic Radiation and its DSP Implementation DOI
Hongli Cao, Yinghong Cao,

Xianying Xu

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(8), P. 085226 - 085226

Published: July 4, 2024

Abstract The study of neuron model under electromagnetic radiation is significant for learning brain principles and treating mental diseases. In this paper, a novel discrete locally active memristor(DLAM) designed its characteristics are investigated thoroughly. Then, the DLAM used to imitate stimulate Aihara neuron, called EMR-Aihara model. equilibrium point analyzed. Dynamical studied by means phase diagram, iteration sequence, bifurcation Lyapunov Exponent spectrum(LEs), Kolmogorow entropy(KE) Spectral Entropy(SE) complexity. With these analysis methods, rich dynamical behaviors firing patterns discovered from map, including hyperchaos, chaos period. addition, complex multistability state transition phenomena concerning various attractors modes observed. This map implemented in digital circuit DSP platform as well, confirming physical availability can simulate biological apply image encryption.

Language: Английский

Citations

7

A novel 4D memristor-based hyperchaotic system with hidden attractors: Dynamics, periodic orbits analysis, and DSP realization DOI
Chengwei Dong, Min Yang

Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: 89, P. 930 - 942

Published: April 5, 2024

Language: Английский

Citations

6

Dual Memristive Chua’s Circuit DOI
Ning Wang, Dan Xu, Yan Yang

et al.

IEEE Transactions on Circuits and Systems I Regular Papers, Journal Year: 2024, Volume and Issue: 71(10), P. 4689 - 4697

Published: July 23, 2024

Language: Английский

Citations

6

KTz Neuron in Electromagnetic Radiation with a Novel Flux-Controlled Memristor DOI

Jinyue Zhu,

Yinghong Cao, Jun Mou

et al.

International Journal of Bifurcation and Chaos, Journal Year: 2024, Volume and Issue: 34(11)

Published: Aug. 24, 2024

In this paper, a novel discrete flux-controlled generalized memristor is proposed to be used in Electromagnetic Radiation (EMR) KTz neuron. The introduction of can simulate the behavior changes neuron under EMR. stability EMR Neuron (EKN) map discussed, and fixed point system characterized. With change parameters, complex rich dynamical characteristics EKN are demonstrated. firing patterns different initial values also investigated, discharge waveforms similar general shape structure human heart brain disease phenomena analyzed. Finally, hardware implementation verified on Digital Signal Processing (DSP) platform. results show that these findings great value for practical applications neural networks, with theoretical basis provided.

Language: Английский

Citations

6

A Universal Image Compression Sensing–Encryption Algorithm Based on DNA-Triploid Mutation DOI Creative Commons
Yinghong Cao, Linlin Tan, Xianying Xu

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(13), P. 1990 - 1990

Published: June 27, 2024

With the fast growth of information technology (IT), safety image transmission and storing images are becoming increasingly important. Traditional encryption algorithms have certain limitations in security, so there is an urgent need for a secure reliable algorithm. A universal compression sensing (CS) (IE) algorithm based on DNA-triploid mutation (DTM) presented this paper. Firstly, by using CS algorithm, compressed while obtaining range chaotic sequences iteration map. Then, DNA generated encoding and, DTM, new mutant according to specific rules. Next, operated at level perform confusion diffusion operations ensure security data. Finally, decoding carried out obtain encrypted image. The simulation results show that can effectively complete decryption images. performance test has sufficiently large key space 10587. entropy cipher close 8. In summary, both experiments tests fully high reliability proposed protecting privacy achieved.

Language: Английский

Citations

5

A novel neural networks with memristor coupled memcapacitor-synapse neuron DOI
Fan Shi, Yinghong Cao, Santo Banerjee

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 189, P. 115723 - 115723

Published: Nov. 15, 2024

Language: Английский

Citations

5

Dynamical analysis, multi-cavity control and DSP implementation of a novel memristive autapse neuron model emulating brain behaviors DOI
Hongli Cao, Yinghong Cao, Lei Qin

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 191, P. 115857 - 115857

Published: Dec. 4, 2024

Language: Английский

Citations

4