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

Physics Letters A, Journal Year: 2024, Volume and Issue: 514-515, P. 129607 - 129607

Published: May 28, 2024

Language: Английский

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Coexisting hollow chaotic attractors within a steep parameter interval

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 179, P. 114406 - 114406

Published: Jan. 2, 2024

Language: Английский

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Dynamic analysis and FPGA implementation of a 5D multi-wing fractional-order memristive chaotic system with hidden attractors

Integration, Journal Year: 2024, Volume and Issue: 96, P. 102129 - 102129

Published: Jan. 3, 2024

Language: Английский

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Dynamical Behavior of SW-SW Neural Networks

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Memristor initial-offset boosting and its bifurcation mechanism in a memristive FitzHugh-Nagumo neuron model with hidden dynamics

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 174, P. 113836 - 113836

Published: July 27, 2023

Language: Английский

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Hidden extreme multistability and synchronicity of memristor-coupled non-autonomous memristive Fitzhugh–Nagumo models

Nonlinear Dynamics, Journal Year: 2023, Volume and Issue: 111(8), P. 7773 - 7788

Published: Jan. 14, 2023

Language: Английский

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Dynamical behavior of memristor-coupled heterogeneous discrete neural networks with synaptic crosstalk

Chinese Physics B, Journal Year: 2023, Volume and Issue: 33(2), P. 028706 - 028706

Published: Aug. 10, 2023

Synaptic crosstalk is a prevalent phenomenon among neuronal synapses, playing crucial role in the transmission of neural signals. Therefore, considering synaptic behavior and investigating dynamical discrete networks are highly necessary. In this paper, we propose heterogeneous network (HDNN) consisting three-dimensional KTz neuron Chialvo neuron. These two neurons coupled mutually by memristors considered. The impact strength on firing HDNN explored through bifurcation diagrams Lyapunov exponents. It observed that exhibits different coexisting attractors under varying strengths. Furthermore, influence strengths synchronized investigated, revealing gradual attainment phase synchronization between as decreases.

Language: Английский

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Synchronization in simplicial complexes of memristive Rulkov neurons

Frontiers in Computational Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Aug. 31, 2023

Simplicial complexes are mathematical constructions that describe higher-order interactions within the interconnecting elements of a network. Such become increasingly significant in neuronal networks since biological backgrounds and previous outcomes back them. In light this, current research explores network memristive Rulkov model. To end, master stability functions used to evaluate synchronization with pure pairwise hybrid (electrical chemical) synapses alongside two-node electrical multi-node chemical connections. The findings provide good insight into impact incorporating interaction Compared synapses, adjust patterns lower coupling parameter values. Furthermore, effect altering value on dynamics neurons state is researched. It also shown how increasing size can enhance by lowering parameters whereby occurs. Except for complete synchronization, cluster detected higher strength values wherein out completed state.

Language: Английский

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Dynamical effects of memristive electromagnetic induction on a 2D Wilson neuron model

Cognitive Neurodynamics, Journal Year: 2023, Volume and Issue: 18(2), P. 645 - 657

Published: Oct. 17, 2023

Language: Английский

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Design and DSP implementation of a hyperchaotic map with infinite coexisting attractors and intermittent chaos based on a novel locally active memcapacitor

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 173, P. 113708 - 113708

Published: June 25, 2023

Language: Английский

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