Reconstruction of network structures from repeating spike patterns in simulated bursting dynamics

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105631

Title:	Reconstruction of network structures from repeating spike patterns in simulated bursting dynamics
Authors:	黎璧賢;Song, Hao;Chen, Chun-Chung;Sun, Jyh-Jang;Lai, Pik-Yin;Chan, C. K.
Contributors:	理學院物理學系
Keywords:	Models, Neurological;Nerve Net - cytology;Nerve Net - physiology;Neurons - cytology
Date:	2014-07-11
Issue Date:	2026-04-23 12:43:33 (UTC+8)
Publisher:	American Physical Society;United States
Abstract:	摘要： Repeating patterns of spike sequences from a neuronal network have been proposed to be useful in the reconstruction of the network topology. Reverberations in a physiologically realistic model with various physical connection topologies (from random to scale free) have been simulated to study the effectiveness of the pattern-matching method in the reconstruction of network topology from network dynamics. Simulation results show that functional networks reconstructed from repeating spike patterns can be quite different from the original physical networks; even global properties, such as the degree distribution, cannot always be recovered. However, the pattern-matching method can be effective in identifying hubs in the network. Since the form of reverberations is quite different for networks with and without hubs, the form of reverberations together with the reconstruction by repeating spike patterns might provide a reliable method to detect hubs in neuronal cultures. 其他題名： Phys Rev E Stat Nonlin Soft Matter Phys 出版者： United States 出版日期： 2014-07 出處： Physical review. E, Statistical, nonlinear, and soft matter physics, 2014-07, Vol.90 (1), p.012703, Article 012703 識別號： ISSN: 1539-3755 識別號： ISSN: 1550-2376 識別號： EISSN: 1550-2376 識別號： DOI: 10.1103/PhysRevE.90.012703 識別號： PMID: 25122331
Appears in Collections:	[Department of Physics] journal & Dissertation

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