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Bursting in a System of Two Coupled Pulsed Neurons with Delay

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Advances in Neural Computation, Machine Learning, and Cognitive Research II (NEUROINFORMATICS 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 799))

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Abstract

In this paper, a mathematical model of synaptic interaction between two pulsed neuron elements is considered. Each of the neurons is represented by a singularly perturbed difference-differential equation with delay. The connection between elements is assumed to be at the threshold, taking into account the time delay. The problems of existence and stability of relaxation cycles are studied. In the framework of the task an algorithm for finding periodic solutions with bursting behavior is proposed. As the delay in the coupling link between the oscillators grows, it is shown that the system exhibits a lot of pulse regimes with different number of spikes over a period length interval. Of particular importance is the fact that the system can have a large number of coexisting relaxation oscillations. The appearance of such bursting effect in the system is a consequence of delay in the coupling link between the oscillators. The obtained result has a natural neurobiological meaning, which is that the growth in the delay leads to an increase in the capacity of this dynamic system as a memory device.

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References

  1. Chay, T.R., Rinzel, J.: Bursting, beating, and chaos in an excitable membrane model. Biophys. J. 47(3), 357–366 (1985)

    Article  Google Scholar 

  2. Ermentrout, G.B., Kopell, N.: Parabolic bursting in an excitable system coupled with a slow oscillation. SIAM J. Appl. Math. 46(2), 233–253 (1986)

    Article  MathSciNet  Google Scholar 

  3. Coombes, S., Bressloff, P.C.: Bursting: The Genesis of Rhythm in the Nervous System. World Scientific Publishing Company, Singapore (2005)

    Book  Google Scholar 

  4. Glyzin, S.D., Kolesov, A.Y., Rozov, N.K.: Modeling the bursting effect in neuron systems. Math. Notes. 93(5–6), 676–690 (2013)

    Article  MathSciNet  Google Scholar 

  5. Glyzin, S.D., Kolesov, A.Y., Rozov, N.K.: Self-excited relaxation oscillations in networks of impulse neurons. Russ. Math. Surv. 70(3), 3–76 (2015)

    Article  Google Scholar 

  6. Kashchenko, S.A., Mayorov, V.V.: Wave Memory Models. Librokom, Moscow (2009)

    Google Scholar 

  7. Glyzin, S.D., Kolesov, A.Y., Rozov, N.K.: On a method for mathematical modeling of chemical synapses. Differ. Equ. 49(10), 1193–1210 (2013)

    Article  MathSciNet  Google Scholar 

  8. Somers, D., Kopell, N.: Anti-phase solutions in relaxation oscillators coupled through excitatory interactions. J. Math. Biol. 33, 261–280 (1995)

    MathSciNet  MATH  Google Scholar 

  9. Somers, D., Kopell, N.: Rapid synchronization through fast threshold modulation. Biol. Cybern. 68, 393–407 (1993)

    Article  Google Scholar 

  10. Kolesov, A.Y., Mishchenko, E.F., Rozov, N.Kh.: A relay with delay and its \(C^1\)-approximation. Proc. Steklov Inst. Math. 216, 126–153 (1997)

    Google Scholar 

  11. Glyzin, S.D., Kolesov, A.Yu., Marushkina, E.A.: Relaxation oscillations in a system of two pulsed synaptically coupled neurons. Autom. Control Comput. Sci. 50(7), 658–665 (2017)

    Article  Google Scholar 

  12. Preobrazhenskaia, M.M.: Relaxation cycles in a model of synaptically interacting oscillators. Autom. Control Comput. Sci. 51(7), 783–797 (2017)

    Article  Google Scholar 

  13. Preobrazhenskaia, M.M.: The impulse-refractive mode in the neural network with ring synaptic interaction. Model. Anal. Inf. Syst. 24(5), 550–566 (2017)

    Article  Google Scholar 

  14. Glyzin, S.D., Kolesov, A.Y., Rozov, N.K.: Buffer phenomenon in neurodynamics. Dokl. Math. 85(2), 297–300 (2012)

    Article  MathSciNet  Google Scholar 

  15. Glyzin, S.D., Kolesov, A.Y., Rozov, N.K.: Extremal dynamics of the generalized Hutchinson equation. Comput. Math. Math. Phys. 49(1), 71–83 (2009)

    Article  MathSciNet  Google Scholar 

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Acknowledgments

The reported study was funded by RFBR, according to the research project No. 16-31-60039 mol_a_dk.

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Correspondence to Elena A. Marushkina .

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Marushkina, E.A. (2019). Bursting in a System of Two Coupled Pulsed Neurons with Delay. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research II. NEUROINFORMATICS 2018. Studies in Computational Intelligence, vol 799. Springer, Cham. https://doi.org/10.1007/978-3-030-01328-8_40

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