19 March 2015 Study of correlation between macroscopic and microscopic characteristics of adaptive networks with application to analysis of neural ensembles
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Abstract
This paper is devoted to the analysis of topological changes in complex networks that are reflected in the macroscopic characteristics. We consider a model of the complex network with the adaptive links, in which the synchronous dynamics leads to the appearance of clusters of strongly coupled elements and show that structural changes significantly affect the macroscopic dynamics. As the result, we demonstrate a high possibility of cluster formation in the network that can be analyzed via the consideration of macroscopic characteristics. We also discuss a prospective application for the detection of structural features of neural networks.
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Vladimir V. Makarov, Vladimir V. Makarov, Vladimir A. Maksimenko, Vladimir A. Maksimenko, Alexey A. Koronovskii, Alexey A. Koronovskii, Marina V. Khramova, Marina V. Khramova, Alexey N. Pavlov, Alexey N. Pavlov, Alexander E. Hramov, Alexander E. Hramov, } "Study of correlation between macroscopic and microscopic characteristics of adaptive networks with application to analysis of neural ensembles", Proc. SPIE 9448, Saratov Fall Meeting 2014: Optical Technologies in Biophysics and Medicine XVI; Laser Physics and Photonics XVI; and Computational Biophysics, 94481S (19 March 2015); doi: 10.1117/12.2178887; https://doi.org/10.1117/12.2178887
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