This article is cited in 1 scientific paper (total in 1 paper)
Relaxation Cycles in a Generalized Neuron Model with Two Delays
S. D. Glyzin, E. A. Marushkina
P. G. Demidov Yaroslavl State University, Sovetskaya str., 14, Yaroslavl, 150000, Russia
A method of modeling the phenomenon of bursting behavior in neural systems based on delay equations is proposed. A singularly perturbed scalar nonlinear differential-difference equation of Volterra type is a mathematical model of a neuron and a separate pulse containing one function without delay and two functions with different lags. It is established that this equation, for a suitable choice of parameters, has a stable periodic motion with any preassigned number of bursts in the time interval of the period length. To prove this assertion we first go to a relay-type equation and then determine the asymptotic solutions of a singularly perturbed equation. On the basis of this asymptotics the Poincare operator is constructed. The resulting operator carries a closed bounded convex set of initial conditions into itself, which suggests that it has at least one fixed point. The Frechet derivative evaluation of the succession operator, made in the paper, allows us to prove the uniqueness and stability of the resulting relax of the periodic solution.
difference-differential equations, relaxation cycle, sustained waves, stability, buffering, bursting-effect.
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S. D. Glyzin, E. A. Marushkina, “Relaxation Cycles in a Generalized Neuron Model with Two Delays”, Model. Anal. Inform. Sist., 20:6 (2013), 179–199
Citation in format AMSBIB
\by S.~D.~Glyzin, E.~A.~Marushkina
\paper Relaxation Cycles in a Generalized Neuron Model with Two Delays
\jour Model. Anal. Inform. Sist.
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S. D. Glyzin, A. Yu. Kolesov, E. A. Marushkina, “Relaksatsionnye avtokolebaniya v sisteme iz dvukh sinapticheski svyazannykh impulsnykh neironov”, Model. i analiz inform. sistem, 24:1 (2017), 82–93
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