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A Stochastic Neural Firing Generated at a Hopf Bifurcation and Its Biological Relevance

机译:Hopf分叉产生的随机神经放电及其生物学意义

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The integer multiple firing patterns, generated in the rabbit depressor baroreceptors under the different static blood pressure, were observed between the resting state and the periodic firing and were characterized to be stochastic but not chaotic by a series of nonlinear time series estimations. These patterns exhibited very similar characteristics to those observed in the experimental neural pacemaker. Using I_(nap)+ I_K models with dynamics of a supercritical Hopf bifurcation, we successfully simulated the bifurcation process of firing patterns and observed the induction of the integer multiple firing patterns by adding noise. The results strongly suggest that the integer multiple firing rhythms generated by rabbit baroreceptors result from the interplay between noise and the system's dynamics. Because of the important normal physiological function of baroreceptors, the biological significance of noise and the noise-induced firing rhythms at a Hopf bifurcation is interesting to be addressed.
机译:在静息状态和定期放电之间,观察到了在不同静血压下兔子降压压力感受器中产生的整数倍点火模式,并且通过一系列非线性时间序列估计,其特征是随机的,而不是混沌的。这些模式表现出与在实验性神经起搏器中观察到的非常相似的特征。使用具有超临界Hopf分叉动力学的I_(nap)+ I_K模型,我们成功模拟了点火模式的分叉过程,并通过添加噪声观察了整数多个点火模式的感应。结果强烈表明,兔子压力感受器产生的整数倍的发射节律是由噪声和系统动力学之间的相互作用引起的。由于压力感受器具有重要的正常生理功能,因此有必要解决噪声的生物学意义以及霍普夫分叉处的噪声诱发的放电节律。

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