Cite as: PHYSICAL REVIEW E 90, 022715 (2014)
DOI: 10.1103/PhysRevE.90.022715 PACS number(s): 87.18.Sn, 05.45.Xt, 87.10.Mn, 87.18.Tt
Published Online: 27 July 2020
Justus T. C. Schwabedal,1,* Alexander B. Neiman,2 and Andrey L. Shilnikov1,3
【Translated by Song Jian】
1Neuroscience Institute, Georgia State University, Atlanta, Georgia 30303, USA
2Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
3Department of Computational Mathematics and Cybernetics, Lobachevsky State University of Nizhni Novgorod, Nizhni Novgorod 603950, Russia
(Received 5 March 2014; revised manuscript received 15 July 2014; published 22 August 2014)
ABSTRACT
产生共存节奏模式的神经回路模态被视为构建多功能神经网络的模块。我们研究了这种抑制模型神经元模态的鲁棒性,在随机扰动下可靠地维持爆裂的多节律。在没有噪声的情况下,随着突触耦合的增强,每个共存节律的指数稳定性都增强,从而表明鲁棒性增强。相反,加入噪声后,如果耦合强度超过临界值,噪声诱导的节律切换增强,说明鲁棒性降低。我们分析这种随机心律失常,并发展其动力机制的一般描述。基于我们的机制洞察力,我们展示了如何平衡神经元动力学和网络耦合的生理参数,以增强对噪声的节律鲁棒性。我们的发现适用于广泛的一类弛豫振荡网络,包括Fitzhugh-Nagumo和其他Hodgkin-Huxley型网络。
原文:Robust design of polyrhythmic neural circuits
译文:多节奏神经回路的鲁棒性构建