I. D. Voronov, M. M. Preobrazhenskaia, I. V. Teplyashin
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引用次数: 0
摘要
我们考虑一个圆形神经元网络的模型,其中每个神经元的功能用两个延迟的方程来描述。所研究的模型是Glyzin et al.的论文中考虑的一种修正,其中孤立神经元的模型基于一个延迟方程- Hutchinson方程。我们构造离散行波,即系统的周期解,使所有分量与移位数为某一参数的倍数的同一函数重合。为了找到这个解,我们研究了一个具有三个时滞的Volterra型辅助微分-差分方程。对于这个方程,对于任何自然的\(m\)和\(n\),我们建立了一个周期解的存在性,它包含\(m\)个包,每个包每个周期包含\(n\)个突发。
Cycles with the embedded bursting effect in a circle of neural oscillators
We consider a model of a circular network of neurons where the functioning of each neuron is described by an equation with two delays. The model under study is a modification considered in the paper of Glyzin et al., where the model of a solitary neuron is based on of the equation with one delay—the Hutchinson equation. We construct discrete traveling waves, i.e., a periodic solution of the system such that all components coincide with the same function shifted by a quantity that is multiple of a certain parameter. To find this solution, we study an auxiliary differential-difference equation of the Volterra type with three delays. For this equation, for any natural \(m\) and \(n\), we establish the existence of a periodic solution that contains \(m\) packets, each of which contains \(n\) bursts per period.
期刊介绍:
Theoretical and Mathematical Physics covers quantum field theory and theory of elementary particles, fundamental problems of nuclear physics, many-body problems and statistical physics, nonrelativistic quantum mechanics, and basic problems of gravitation theory. Articles report on current developments in theoretical physics as well as related mathematical problems.
Theoretical and Mathematical Physics is published in collaboration with the Steklov Mathematical Institute of the Russian Academy of Sciences.