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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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Relationship between spiking activity and clustering structures. Probability distribution of the number of triangles around node i: C_i (upper) and dependence of the temporal average spiking rate of the excitatory neural population on C_i (lower). A neuron with high C_i exhibits a tendency toward a high spiking rate, compared with the case of C_i = 0. C_i: number of triangles around node i. Ave.: average; Prob.: probability; Dist.: distribution.