Piotrkiewicz M
Bionics Department, Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw.
J Physiol Paris. 1999 Jan-Apr;93(1-2):125-33. doi: 10.1016/s0928-4257(99)80143-0.
Motoneuronal spike trains were generated according to a simple model assuming algebraical summation of the afterhyperpolarization (AHP) curve and noisy synaptic inflow. An influence of various model parameters on the relationship between standard deviation (SD), sigma, of interspike intervals (ISIs) and their mean value, Tm, was studied. A typical sigma(Tm) relationship resembled those obtained experimentally and consisted of two parts: a short-interval part with constant sigma and a long-interval part where sigma increased linearly with increasing ISI. It is concluded that the placement of the range of transition between short- and long-interval parts of the plot depends on the properties of the motoneuron and not on those of the synaptic inflow. The break-point interval of the plot is correlated with the AHP duration but is shorter than it. Further, not only are the curves for shorter AHP durations shifted towards shorter ISIs, but they also have lower SDs at their short-interval parts.
运动神经元的动作电位序列是根据一个简单模型生成的,该模型假设后超极化(AHP)曲线和有噪声的突触输入进行代数求和。研究了各种模型参数对峰峰间隔(ISI)的标准差(SD)、西格玛与其平均值Tm之间关系的影响。典型的西格玛(Tm)关系类似于实验得到的关系,由两部分组成:西格玛恒定的短间隔部分和西格玛随ISI增加而线性增加的长间隔部分。得出的结论是,图中短间隔部分和长间隔部分之间过渡范围的位置取决于运动神经元的特性,而不取决于突触输入的特性。图的断点间隔与AHP持续时间相关,但比其短。此外,不仅较短AHP持续时间的曲线向较短ISI方向移动,而且它们在短间隔部分的标准差也较低。