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自突触诱导的神经元兴奋性的类间转变和分岔。

Transitions between classes of neuronal excitability and bifurcations induced by autapse.

机构信息

School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, 200092, China.

出版信息

Sci Rep. 2017 Jul 28;7(1):6760. doi: 10.1038/s41598-017-07051-9.

Abstract

Neuronal excitabilities behave as the basic and important dynamics related to the transitions between firing and resting states, and are characterized by distinct bifurcation types and spiking frequency responses. Switches between class I and II excitabilities induced by modulations outside the neuron (for example, modulation to M-type potassium current) have been one of the most concerning issues in both electrophysiology and nonlinear dynamics. In the present paper, we identified switches between 2 classes of excitability and firing frequency responses when an autapse, which widely exists in real nervous systems and plays important roles via self-feedback, is introduced into the Morris-Lecar (ML) model neuron. The transition from class I to class II excitability and from class II to class I spiking frequency responses were respectively induced by the inhibitory and excitatory autapse, which are characterized by changes of bifurcations, frequency responses, steady-state current-potential curves, and nullclines. Furthermore, we identified codimension-1 and -2 bifurcations and the characteristics of the current-potential curve that determine the transitions. Our results presented a comprehensive relationship between 2 classes of neuronal excitability/spiking characterized by different types of bifurcations, along with a novel possible function of autapse or self-feedback control on modulating neuronal excitability.

摘要

神经元兴奋性表现为与激发和静息状态之间转换相关的基本和重要动力学特性,其特征在于具有不同的分岔类型和脉冲频率响应。由神经元外部调制引起的 I 类和 II 类兴奋性之间的转换(例如,对 M 型钾电流的调制)一直是电生理学和非线性动力学中最受关注的问题之一。在本文中,我们在 Morris-Lecar(ML)模型神经元中引入了广泛存在于真实神经系统中并通过自反馈发挥重要作用的自突触,确定了 2 类兴奋性和脉冲频率响应之间的转换。抑制性和兴奋性自突触分别诱导从 I 类兴奋性到 II 类兴奋性以及从 II 类兴奋性到 I 类脉冲频率响应的转变,其特征在于分岔、频率响应、稳态电流-电位曲线和零轨迹的变化。此外,我们确定了余维 1 和 2 的分岔以及决定转变的电流-电位曲线的特征。我们的结果呈现了具有不同分岔类型的神经元兴奋性/脉冲的 2 类之间的综合关系,以及自突触或自反馈控制对调节神经元兴奋性的新的可能功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f2c/5533805/77e6fb9993f3/41598_2017_7051_Fig1_HTML.jpg

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