Abstract
A mathematical model of a “network of networks” is developed. The model consists of a small input network and four large subnetworks that interact with one another via inhibitory couplings. This model is an attempt to model processes that occur in real neural networks in similar processing of input information. It is shown the indices of synchronization of subnetworks periodically change in time. Depending on the strength of the connection, the indices of synchronization of neurons of different subnetworks can change in both phase and antiphase.
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Funding
This work was supported by the RF Presidential Grant Council, project no. NSh-589.2022.1.2. V.V. Grubov thanks the Russian Foundation for Basic Research for their support as part of project no. 19-32-60033.
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Translated by A. Khaitin
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Andreev, A.V., Maksimenko, V.A., Badarin, A.A. et al. Synchronization in Interacting Networks of Hodgkin–Huxley Neurons. Bull. Russ. Acad. Sci. Phys. 86, 221–225 (2022). https://doi.org/10.3103/S1062873822020058
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DOI: https://doi.org/10.3103/S1062873822020058