Jia Bing, Gu Huaguang, Xue Lei
State Key Laboratory of Medical Neurobiology, Department of Physiology and Biophysics, School of Life Sciences and Collaborative Innovation Centre for Brain Science, Fudan University, Shanghai, 200438 People's Republic of China.
School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, 200092 People's Republic of China.
Cogn Neurodyn. 2017 Apr;11(2):189-200. doi: 10.1007/s11571-017-9422-8. Epub 2017 Feb 2.
Two different bifurcation scenarios of firing patterns with decreasing extracellular calcium concentrations were observed in identical sciatic nerve fibers of a chronic constriction injury (CCI) model when the extracellular 4-aminopyridine concentrations were fixed at two different levels. Both processes proceeded from period-1 bursting to period-1 spiking via complex or simple processes. Multiple typical experimental examples manifested dynamics closely matching those simulated in a recently proposed 4-dimensional model to describe the nonlinear dynamics of the CCI model, which included most cases of the bifurcation scenarios. As the extracellular 4-aminopyridine concentrations is increased, the structure of the bifurcation scenario becomes more complex. The results provide a basic framework for identifying the relationships between different neural firing patterns and different bifurcation scenarios and for revealing the complex nonlinear dynamics of neural firing patterns. The potential roles of the basic bifurcation structures in identifying the information process mechanism are discussed.
当细胞外4-氨基吡啶浓度固定在两个不同水平时,在慢性压迫性损伤(CCI)模型的相同坐骨神经纤维中观察到随着细胞外钙浓度降低,放电模式出现两种不同的分叉情况。这两个过程均通过复杂或简单过程从1期爆发转变为1期尖峰放电。多个典型实验示例显示出的动力学与最近提出的用于描述CCI模型非线性动力学的4维模型模拟的动力学紧密匹配,该模型涵盖了大多数分叉情况。随着细胞外4-氨基吡啶浓度增加,分叉情况的结构变得更加复杂。这些结果为识别不同神经放电模式与不同分叉情况之间的关系以及揭示神经放电模式的复杂非线性动力学提供了一个基本框架。还讨论了基本分叉结构在识别信息处理机制中的潜在作用。