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. 2019 Sep 4;9:12749. doi: 10.1038/s41598-019-49286-8

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Rewiring probability β dependency of spiking activity in a spiking neural network with small-world network for strong synaptic connections and random network for weak synaptic connections (β = 1.0, 0.8, 0.6, 0.4, 0.2). The left, middle, and right images represent the raster plot, spiking rate time-series for r_E (upper) and r_I (lower), and their power spectrum, respectively. In the β = 1.0, 0.8 case, an irregular spatio-temporal spike pattern was observed. With decreasing β values (β = 0.6, 0.4, 0.2), constant spike patterns with a higher spiking rate [r_E ≈ 5.0 Hz, (r_I ≈ 70 Hz) in the β = 0.6 case, r_E ≈ 6.0 Hz (r_I ≈ 100 Hz) in the β = 0.4 case, and r_E ≈ 7.0 Hz (r_I ≈ 110 Hz) in the β = 0.2 case] were maintained in a specific duration.