Maslennikov Oleg V, Kasatkin Dmitry V, Rulkov Nikolai F, Nekorkin Vladimir I
Institute of Applied Physics of RAS, 603950, 46 Ulyanov Str., Nizhny Novgorod, Russia.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Oct;88(4):042907. doi: 10.1103/PhysRevE.88.042907. Epub 2013 Oct 11.
Animal locomotion activity relies on the generation and control of coordinated periodic actions in a central pattern generator (CPG). A core element of many CPGs responsible for the rhythm generation is a pair of reciprocally coupled neuron populations. Recent interest in the development of highly reduced models of CPG networks is motivated by utilization of CPG models in applications for biomimetic robotics. This paper considers the use of a reduced model in the form of a discrete time system to study the emergence of antiphase bursting activity in two reciprocally coupled populations evoked by the postinhibitory rebound effect.
动物的运动活动依赖于中央模式发生器(CPG)中协调周期性动作的产生和控制。许多负责节律产生的CPG的核心要素是一对相互耦合的神经元群体。近期,人们对CPG网络高度简化模型的开发产生兴趣,这是受CPG模型在仿生机器人应用中的利用所推动。本文考虑使用离散时间系统形式的简化模型,来研究由抑制后反弹效应诱发的两个相互耦合群体中反相爆发活动的出现。