An image encryption scheme based on memristive hyperchaos and virus propagation principle with application to driverless technology

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

Published: Jan. 4, 2025

Language: Английский

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A Memristive Neuron with Nonlinear Membranes and Network Patterns

Published: Jan. 1, 2025

Memristor-coupled nonlinear circuits can replicate biological neuron firing patterns by incorporating memristive and magnetic flux variables to model electromagnetic induction. Traditional models with single capacitive fail capture the material properties field differences of cell membranes. This work proposes a neural circuit dual capacitors, resistor, flux-controlled memristor (MFCM) in parallel, driven phototube simulate illumination. The accounts for dynamics double-layer membranes exhibits energy-defined behaviors. Photocurrent fully controls modes, stochastic resonance analyzed via coefficient variability energy distributions under noise. An adaptive growth law modulates membrane capacitance ratios, enabling mode transitions shifts. In network, control coupling bifurcation parameters induces stable target waves, effectively regulating collective dynamics. study highlights neurons' potential mimicking complex behaviors network

Language: Английский

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Model construction and image encryption application of chaotic system under the influence of memristor and unknown parameters

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

Published: Jan. 8, 2025

Language: Английский

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Rich dynamics induced by memristive synapse in Chialvo neuron network

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

Published: Feb. 19, 2025

Language: Английский

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Spatiotemporal dynamics in a network of modified Morris–Lecar neurons with nonlinear magnetic flux diffusion

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

Published: Feb. 28, 2025

Language: Английский

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Effects of potassium channel blockage on chimera-like states in the excitatory–inhibitory neuronal network

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

Published: March 13, 2025

Language: Английский

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Dynamic behaviors and digital circuit implementation of a Rulkov neuron with a non-polynomial memristor synaptic weight

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

Published: April 12, 2025

Language: Английский

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Characteristics analysis of a single electromechanical arm driven by a functional neural circuit

Cognitive Neurodynamics, Journal Year: 2025, Volume and Issue: 19(1)

Published: April 22, 2025

Language: Английский

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Dual memristors-radiated discrete Hopfield neuron with complexity enhancement

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 4, 2024

Language: Английский

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Dynamics Research of the Hopfield Neural Network Based on Hyperbolic Tangent Memristor with Absolute Value

Micromachines, Journal Year: 2025, Volume and Issue: 16(2), P. 228 - 228

Published: Feb. 17, 2025

Neurons in the brain are interconnected through synapses. Local active memristors can both simulate synaptic behavior of neurons and action potentials neurons. Currently, hyperbolic tangent function-type used for coupling neural networks do not belong to local memristors. To take advantage consider multi-equilibrium point problem, a cosine function is introduced into state equation, resulting design an absolute value tangent-type double memristor, it as synapse replace weight 3-neuron HNN. Then, basic dynamical analysis methods study effects different memristor strengths initial conditions on dynamics network. The research results indicate that Hopfield network closely related conditions, this exhibits rich behaviors, including coexistence chaotic periodic attractors, super-multistability phenomena, etc. Finally, was implemented using FPGA development board, verifying hardware feasibility system.

Language: Английский

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