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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Relay synchronization in a multiplex memristive neuronal network with electrical and field couplings

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 190, P. 115779 - 115779

Published: Nov. 21, 2024

Language: Английский

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Synchronization in a higher-order neuronal network with blinking interactions

The European Physical Journal Special Topics, Journal Year: 2024, Volume and Issue: 233(4), P. 745 - 755

Published: April 29, 2024

Abstract The synchronization of higher-order networks presents a fascinating area exploration within nonlinear dynamics and complex networks. Simultaneously, growing research interest focuses on uncovering in time-varying with time-dependent coupling structures, reflecting their prevalence real-world systems like neuronal Motivated by this, the present study delves into phenomenon network incorporating blinking scheme. Blinking is an on–off switching that has been demonstrated to enhance effectively. Its efficacy stems from ensuring synchronization, as master stability function (MSF) follows linear pattern. In this study, our objective investigate such scheme configuration. We influence parameters frequency behavior. Notably, findings demonstrate increases, exhibits gradual convergence toward behavior average network. Furthermore, leveraging analytical framework MSF error, we provide numerical evidence confirming pattern transforms function. synchronous asynchronous regions also exhibit clear separation demarcated curve across parameter space. Moreover, results suggest interactions fosters enhanced synchrony effectively scaling patterns lower values.

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 learning of synchronization in nonlinear coupled systems

arXiv (Cornell University), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Synchronization phenomena are pervasive in coupled nonlinear systems across the natural world and engineering domains. Understanding how to dynamically identify parameter space (or network structure) of a synchronized state is crucial for study system synchronization. To address challenge achieving stable synchronization systems, we develop set mathematical optimization techniques dynamic learning (DLS) inspired by machine learning. This technology captures differences between nodes within adjusts weights, allowing maintain after appropriate weight adjustments. enhance optimization, use Master Stability Function (MSF) demonstrate DLS effectively networks into their regions. We introduce several variants technique, including adaptive, supervised, hybrid methods, promoting heterogeneous such as small-world, scale-free, random networks. The efficacy this technique validated through its application simple FitzHugh-Nagumo neural complex Hodgkin-Huxley neuronal networks, examining impact on both global local proposed offers new solution problems environments, addressing deficiencies adaptability flexibility existing technologies providing fresh perspective understanding implementing systems.

Language: Английский

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Synchronization in a Memristive Duplex Network: The Impact of Intra-layer and Inter-layer Synaptic Pathways

Physics Letters A, Journal Year: 2024, Volume and Issue: unknown, P. 130112 - 130112

Published: Nov. 1, 2024

Language: Английский

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Effect of the chaotic signal on the firing frequency of Morris-Lecar neurons

Communications in Nonlinear Science and Numerical Simulation, Journal Year: 2024, Volume and Issue: 137, P. 108128 - 108128

Published: June 7, 2024

Language: Английский

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