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Remote synchronization in human cerebral cortex network with identical oscillators

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Abstract

Remote synchronization (RS) has recently received an increasing interest in the systems of nonidentical oscillators, but little attention has been paid to the systems of identical oscillators such as the case of human cerebral cortex where RS takes a key role in the functions of brain. Based on the real network of human cerebral cortex, we here show that RS can be also observed in the systems of identical oscillators, provided that appropriate time delay is considered. We interestingly find that RS may appear in different local places of cerebral cortex and thus results in a diversity of patterns, i.e., a new framework of multiple starlike graphs connected by common leaf nodes. To understand its mechanism, we present a model of two starlike graphs connected by common leaf nodes. We further show that the common leaf nodes take a key role for the emergence of RS in the new framework. A theoretical analysis is given. These findings may be helpful to understand the segregation and integration processes of information transmission in brain.

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Acknowledgements

This work was partially supported by the NNSF of China under Grant Nos. 11675056 and 11835003.

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Authors and Affiliations

  1. Department of Physics, East China Normal University, Shanghai, 200241, China

    Ling Kang, Zhenhua Wang, Siyu Huo, Changhai Tian & Zonghua Liu

  2. School of Data Science, Tongren University, Tongren, 554300, China

    Changhai Tian

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  1. Ling Kang
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  3. Siyu Huo
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Correspondence to Ling Kang.

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Kang, L., Wang, Z., Huo, S. et al. Remote synchronization in human cerebral cortex network with identical oscillators. Nonlinear Dyn 99, 1577–1586 (2020). https://doi.org/10.1007/s11071-019-05375-x

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