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外在输入和突触增益对温德林神经团模型动力学的影响:分岔分析

Influence of extrinsic inputs and synaptic gains on dynamics of Wendling's neural mass model: A bifurcation analysis.

作者信息

Geng Shujuan, Zhou Weidong

机构信息

* School of Information Science and Engineering, Shandong University, Jinan 250100, P. R. China.

† School of Information & Electric Engineering, Shandong Jianzhu University, Jinan 250101, P. R. China.

出版信息

J Integr Neurosci. 2016 Dec;15(4):463-483. doi: 10.1142/S0219635216500254. Epub 2017 Jan 11.

Abstract

We analyze the neurodynamics attributed by a model proposed by Wendling and co-workers (2002) [Wendling, F., Bartolomei, F., Bellanger, J.J. & Chauvel, P. (2002) Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition. Eur. J. Neurosci., 15, 1499.] to explain several different types of electroencephalographic activities. We could find three principal types of steady states when the system parameters change slowly: (i) the model produce a constant output when it is under a state of stable equilibrium point with a constant input. If a small perturbation is introduced (e.g., noisy input), the output changes into noise without oscillatory components, which is related to the normal background activity or low-voltage rapid activity, (ii) Hopf bifurcations lead to stable limit cycles, which we call Hopf cycles. The model generates a rhythmic oscillating output when it is under a state of Hopf cycles, which is related to slow rhythmic activity or slow quasi-sinusoidal activity, (iii) global bifurcations lead to homoclinic limit cycles that appear suddenly at high amplitude, which we call spike cycles. In general, the spike cycles are not harmonic but they have a spike-like appearance (anharmonic oscillation). The model produces a spike-like output when it is under a state of spike cycles, which is related to the sustained discharge of spikes. Finally, the bifurcation analysis demonstrates the influence of the interaction between the excitatory and inhibitory synaptic gains on the dynamics.

摘要

我们分析了由温德林及其同事(2002年)提出的一个模型所归因的神经动力学[温德林,F.,巴托洛梅,F.,贝朗热,J.J. & 肖韦尔,P.(2002年)癫痫快速活动可由GABA能树突抑制受损模型解释。《欧洲神经科学杂志》,15,1499],以解释几种不同类型的脑电图活动。当系统参数缓慢变化时,我们可以找到三种主要类型的稳态:(i)当模型处于具有恒定输入的稳定平衡点状态时,产生恒定输出。如果引入一个小扰动(例如,噪声输入),输出会变为无振荡成分的噪声,这与正常背景活动或低电压快速活动有关;(ii)霍普夫分岔导致稳定的极限环,我们称之为霍普夫环。当模型处于霍普夫环状态时,会产生有节奏的振荡输出,这与缓慢的有节奏活动或缓慢的准正弦活动有关;(iii)全局分岔导致高振幅时突然出现的同宿极限环,我们称之为尖峰环。一般来说,尖峰环不是谐波,但它们具有类似尖峰的外观(非谐波振荡)。当模型处于尖峰环状态时,会产生类似尖峰的输出,这与尖峰的持续发放有关。最后,分岔分析证明了兴奋性和抑制性突触增益之间的相互作用对动力学的影响。

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