Synchronization patterns in a network of diffusively delay-coupled memristive Chialvo neuron map

Physics Letters A, Год журнала: 2024, Номер 514-515, С. 129607 - 129607

Опубликована: Май 28, 2024

Язык: Английский

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Experimental validation of IoT image encryption scheme based on a 5-D fractional hyperchaotic system and Numba JIT compiler

Internet of Things, Год журнала: 2024, Номер 25, С. 101116 - 101116

Опубликована: Фев. 10, 2024

Язык: Английский

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Offset Boosting-Entangled Complex Dynamics in the Memristive Rulkov Neuron

IEEE Transactions on Industrial Electronics, Год журнала: 2023, Номер 71(8), С. 9569 - 9579

Опубликована: Ноя. 1, 2023

A discrete memristor is introduced into the Rulkov neuron to mimic biological neuronal synapse and modify firing dynamics. In memristive neuron, chaotic with local amplitude control obtained, where range of bursting can be modified by two independent controllers. These bifurcation parameters provide direct amplitude/frequency control. Furthermore, offset boosting-entangled complex dynamics are captured, initial condition membrane potential visit any self-reproducing attractors even firing, indicating coexistence homogeneous heterogeneous multistabilities. Consequently, a CH32-based circuit developed verify various activities. The pseudo-random number generator results explored based on National Institute Standards Technology showing its higher performance in secure optical communication, which further proved seven-core 2-km communication setup.

Язык: Английский

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Energy flow accounts for the adaptive property of functional synapses

Science China Technological Sciences, Год журнала: 2023, Номер 66(11), С. 3139 - 3152

Опубликована: Окт. 17, 2023

Язык: Английский

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A Fast Hyperchaotic Image Encryption Scheme

International Journal of Bifurcation and Chaos, Год журнала: 2023, Номер 33(05)

Опубликована: Апрель 1, 2023

In this paper, we propose a fast hyperchaotic image encryption scheme based on RSVM and step-by-step scrambling-diffusion. scheme, firstly new algorithm named ring shrinkage with variable modulo (RSVM), which can randomly scramble the elements in one-dimensional array, are composed of row numbers or column pixel matrix to be encrypted. Before encryption, use generate two random arrays (i.e. array [Formula: see text] text]), each element represents row/column number matrix. Then rows/columns scrambled-diffused according text]. The initial control parameters controlled by SHA-256 plaintext pixels, controls scrambling-diffusion process matrix, rows columns, so small changes pixels will lead great differences ciphertext images. addition, overall time complexity is only text], greatly reduce cost. Finally, experimental results extensive security analysis prove efficiency feasibility method.

Язык: Английский

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Hopfield neural network with multi-scroll attractors and application in image encryption

Multimedia Tools and Applications, Год журнала: 2023, Номер 83(1), С. 97 - 117

Опубликована: Май 10, 2023

Язык: Английский

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Physical approach of a neuron model with memristive membranes

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(11)

Опубликована: Ноя. 1, 2023

The membrane potential of a neuron is mainly controlled by the gradient distribution electromagnetic field and concentration diversity between intracellular extracellular ions. Without considering thickness material property, electric characteristic cell described capacitive variable output voltage in an equivalent neural circuit. flexible property enables controllability endomembrane outer membrane, properties can be approached double membranes connected memristor In this work, two capacitors are used to mimic physical two-layer membranes, inductive channel added A biophysical obtained energy characteristic, dynamics, self-adaption discussed, respectively. Coherence resonance mode selection adaptive way detected under noisy excitation. average function effective predict appearance coherence resonance. An law proposed control parameters, external stimulus explained theoretical way. with memristive explains self-adaptive mechanism parameter changes transition from viewpoint.

Язык: Английский

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A bimembrane neuron for computational neuroscience

Chaos Solitons & Fractals, Год журнала: 2023, Номер 173, С. 113689 - 113689

Опубликована: Июнь 16, 2023

Язык: Английский

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A Chaos-Enhanced Fractional-Order Chaotic System with Self-Reproduction Based on a Memcapacitor and Meminductor

Fractal and Fractional, Год журнала: 2023, Номер 7(8), С. 582 - 582

Опубликована: Июль 28, 2023

Chaotic signals generated by chaotic oscillators based on memory elements are suitable for use in the field of confidential communications because their very good randomness. But often maximum Lyapunov exponent is not high enough, so degree randomness enough. It can be chaos enhanced transforming it to fractional order using Caputo differential definition. In this paper, proposed hyperchaotic oscillator, extended a fractional-order form obtain chaos-enhanced memcapacitor meminductor system, which several different styles and attractors found. The dynamical behaviour system studied bifurcation diagrams, spectrums dimensions. multistability explored initial orbits, spectral entropy complexity examined. Finally, hardware implementation given, demonstrates effectiveness system. This study provides reference chaos-enhanced.

Язык: Английский

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Heterogeneous coexisting attractors, large-scale amplitude control and finite-time synchronization of central cyclic memristive neural networks

Neural Networks, Год журнала: 2024, Номер 178, С. 106412 - 106412

Опубликована: Май 27, 2024

Язык: Английский

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