Dynamics of Shunting Inhibitory Cellular Neural Networks with Variable Two-Component Passive Decay Rates and Poisson Stable Inputs

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2022-06-01

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Akhmet, Marat
Tleubergenova, Madina
Zhamanshin, Akylbek

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Shunting inhibitory cellular neural networks with continuous time-varying rates and inputs are the focus of this research. A new model is considered with compartmental passive decay rates which consist of periodic and Poisson stable components. The first component guarantees the Poisson stability of the dynamics, and the second one causes irregular oscillations. The inputs are Poisson stable to take into account the more sophisticated environment of the networks. The rates and inputs are synchronized to obtain Poisson stable outputs. A new efficient technique for checking the recurrence, the method of included intervals, is applied. Sufficient conditions for the existence of a Poisson stable solution and its asymptotic stability were obtained. Numerical simulations of Poisson stable outputs as well as inputs are provided. Examples of the model with Poisson stable rates, inputs and outputs confirm the feasibility of theoretical results. Discussions were undertaken to provide additional light on the relation of the obtained results with practical and theoretical potentials of neuroscience. Quantitative characteristics are suggested, which can be useful for the future applications of the results. In particular, the center of antisymmetry for the degree of periodicity is determined.

Subject Keywords

asymptotic stability of outputs, compartmental passive decay rate, Poisson stable inputs, outputs and rates, shunting inhibitory cellular neural networks, the method of included intervals

URI

https://hdl.handle.net/11511/98539

Journal

Symmetry

DOI

https://doi.org/10.3390/sym14061162

Collections

Department of Mathematics, Article

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Citation Formats

M. Akhmet, M. Tleubergenova, and A. Zhamanshin, “Dynamics of Shunting Inhibitory Cellular Neural Networks with Variable Two-Component Passive Decay Rates and Poisson Stable Inputs,” Symmetry, vol. 14, no. 6, pp. 0–0, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/98539.