Evidence map›Paper›PMID 28928389›Full record

ArticleScientific reports2017

Spatiotemporal dynamics in excitable homogeneous random networks composed of periodically self-sustained oscillation.

Yu Qian, Fei Liu, Keli Yang, Ge Zhang, Chenggui Yao, Jun Ma

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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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yu QianNonlinear Research Institute, Baoji University of Arts and Sciences, Baoji, 721007, China. qianyu0272@163.com.
Fei LiuNonlinear Research Institute, Baoji University of Arts and Sciences, Baoji, 721007, China.
Keli YangNonlinear Research Institute, Baoji University of Arts and Sciences, Baoji, 721007, China.
Ge ZhangDepartment of Physics, Lanzhou University of Technology, Lanzhou, 730050, China.
Chenggui YaoDepartment of Mathematics, Shaoxing University, Shaoxing, 312000, China.
Jun MaDepartment of Physics, Lanzhou University of Technology, Lanzhou, 730050, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID28928389
PMCPMC5605731

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