We quantify the dynamical implications of the small-world phenomenon by considering the generic synchronization of oscillator networks of arbitrary topology. The linear stability of the synchronous state is linked to an algebraic condition of the Laplacian matrix of the network. Through numerics and analysis, we show how the addition of random shortcuts translates into improved network synchronizability. Applied to networks of low redundancy, the small-world route produces synchronizability more efficiently than standard deterministic graphs, purely random graphs, and ideal constructive schemes. However, the small-world property does not guarantee synchronizability: the synchronization threshold lies within the boundaries, but linked to the end of the small-world region.
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http://dx.doi.org/10.1103/PhysRevLett.89.054101 | DOI Listing |
Cogn Neurodyn
December 2024
Center for Research, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089 India.
This study delves into the examination of a network of adaptive synapse neurons characterized by a small-world network topology connected through electromagnetic flux and infused with randomness. First, this research extensively explores the existence of the global multi-stability of a single adaptive synapse-based neuron model with magnetic flux. The non-autonomous neuron model exhibits periodically switchable equilibrium states that are strongly related to the transitions between stable and unstable points in every whole periodic cycle, leading to the creation of global multi-stability.
View Article and Find Full Text PDFEur J Neurosci
January 2025
Department of Radiology, The Affiliated Children's Hospital Of Xiangya School of Medicine, Hunan Children's Hospital, Central South University, Changsha, China.
This study aims to investigate the value of basal ganglia and limbic/paralimbic networks alteration in identifying preschool children with ASD and normal controls using diffusion basis spectrum imaging (DBSI). DBSI data from 31 patients with ASD and 30 NC were collected in Hunan Children's Hospital. All data were imported into the post-processing server.
View Article and Find Full Text PDFNeural Netw
February 2025
the School of Automation, Nanjing University of Science and Technology, Nanjing, PR China. Electronic address:
In this paper, a new static pinning intermittent control based on resource awareness triggering is proposed. A multi-layer control technique is used to synchronize the coupled neural network. First, a hierarchical network structure including pinned and interaction layers is induced using each pinning strategy.
View Article and Find Full Text PDFFront Netw Physiol
October 2024
Brain and Cognition, KU Leuven, Leuven, Belgium.
The nervous system, especially the human brain, is characterized by its highly complex network topology. The neurodevelopment of some of its features has been described in terms of dynamic optimization rules. We discuss the principle of adaptive rewiring, i.
View Article and Find Full Text PDFSci Rep
August 2024
Department of Life, Light and Matter, University of Rostock, Rostock, Germany.
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