Journal of King Saud University - Computer and Information Sciences, Journal Year: 2024, Volume and Issue: 36(8), P. 102186 - 102186
Published: Sept. 10, 2024
Language: Английский
Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 179, P. 114466 - 114466
Published: Jan. 12, 2024
Language: Английский
Citations
50
Communications in Theoretical Physics, Journal Year: 2024, Volume and Issue: 76(3), P. 035004 - 035004
Published: Feb. 5, 2024
Abstract Nonlinear circuits can show multistability when a magnetic flux-dependent memristor (MFDM) or charge-sensitive (CSM) is incorporated into one branch circuit, which helps estimate electric field effects. In this paper, two different kinds of memristors are composed capacitor and nonlinear resistor, thus memristive circuit with double channels designed. The equations presented, the dynamics in oscillator terms discussed. Then, converted map by applying linear transformation on sampled time series for oscillator. Hamilton energy function obtained using Helmholtz theorem, it be mapped from circuit. An dual suggested imposing suitable weights discrete function. dynamical behaviors new investigated, an adaptive law proposed to regulate firing mode map. This work will provide theoretical basis experimental guidance oscillator-to-map calculation.
Language: Английский
Citations
20
IEEE Transactions on Industrial Electronics, Journal Year: 2024, Volume and Issue: 72(1), P. 969 - 979
Published: July 12, 2024
Language: Английский
Citations
18
The European Physical Journal Special Topics, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 7, 2025
Language: Английский
Citations
1
Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(2)
Published: Feb. 1, 2025
Nonlinear circuits can be tamed to produce similar firing patterns as those detected from biological neurons, and some suitable neural obtained propose reliable neuron models. Capacitor C inductor L contribute energy storage while resistors consume energy, the time constant RC or L/R provides a reference scale for responses. The inclusion of memristors introduces memory effects by coupling flow with historical states circuit. A nonlinear resistor nonlinearity, enriching circuit's dynamic characteristics. In this work, circuit is constructed one branch contains voltage source E. relation between physical variables confirmed memristive oscillator an exact function proposed. Furthermore, equivalent map derived when linear transformation applied sampled oscillator-like neuron. calculated following Helmholtz's theorem, expressed description. It found that periodic state higher than chaotic state, which highlights key role in mode conversion. Noise-induced coherence resonance stochastic induced under external field. adaptive control mechanism influenced Hamilton investigated, revealing its impact on transitions. These findings bridge gap design modeling, providing theoretical insights into applications neuromorphic computing, signal processing, energy-efficient systems.
Language: Английский
Citations
1
Journal of the Franklin Institute, Journal Year: 2024, Volume and Issue: 361(8), P. 106844 - 106844
Published: April 15, 2024
Language: Английский
Citations
7
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
6
Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 187, P. 115339 - 115339
Published: Aug. 9, 2024
Language: Английский
Citations
6
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
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
5