1. Relaxation Cycles in a Generalized Neuron Model with Two Delays
- Author
-
S. D. Glyzin and E. A. Marushkina
- Subjects
bursting-effect ,Economics and Econometrics ,bursting-эффект ,Scalar (mathematics) ,Convex set ,Fréchet derivative ,Information technology ,релаксационный цикл ,Fixed point ,sustained waves ,Materials Chemistry ,Media Technology ,Uniqueness ,relaxation cycle ,Mathematics ,lcsh:T58.5-58.64 ,lcsh:Information technology ,difference-differential equations ,Mathematical analysis ,buffering ,буферность ,устойчивость ,Forestry ,stability ,T58.5-58.64 ,автоволны ,Periodic function ,Nonlinear system ,Bounded function ,дифференциально-разностные уравнения - Abstract
A method of modeling the phenomenon of bursting behavior in neural systems based on delay equations is proposed. A singularly perturbed scalar nonlinear differentialdifference 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.
- Published
- 2015