ArticleScientific reports2017
Spatiotemporal dynamics in excitable homogeneous random networks composed of periodically self-sustained oscillation.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers.Frontiers in systems neuroscience · 2021Article
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- Effect of temperature fluctuation on the localized pattern of action potential in cardiac tissue.Scientific reports · 2020Article
- The Statistical Analysis of Top Hubs in Growing Geographical Networks with Optimal Policy.Scientific reports · 2019Article
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- Synchronization of complex networks of identical and nonidentical chaotic systems via model-matching control.PloS one · 2019Article
- Complete synchronization of the global coupled dynamical network induced by Poisson noises.PloS one · 2017Article
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Authors and funding
6 authors.
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Abstract
The collective behaviors of networks are often dependent on the network connections and bifurcation parameters, also the local kinetics plays an important role in contributing the consensus of coupled oscillators. In this paper, we systematically investigate the influence of network structures and system parameters on the spatiotemporal dynamics in excitable homogeneous random networks (EHRNs) composed of periodically self-sustained oscillation (PSO). By using the dominant phase-advanced driving (DPAD) method, the one-dimensional (1D) Winfree loop is exposed as the oscillation source supporting the PSO, and the accurate wave propagation pathways from the oscillation source to the whole network are uncovered. Then, an order parameter is introduced to quantitatively study the influence of network structures and system parameters on the spatiotemporal dynamics of PSO in EHRNs. Distinct results induced by the network structures and the system parameters are observed. Importantly, the corresponding mechanisms are revealed. PSO influenced by the network structures are induced not only by the change of average path length (APL) of network, but also by the invasion of 1D Winfree loop from the outside linking nodes. Moreover, PSO influenced by the system parameters are determined by the excitation threshold and the minimum 1D Winfree loop. Finally, we confirmed that the excitation threshold and the minimum 1D Winfree loop determined PSO will degenerate as the system size is expanded.
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