Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.
Exp Brain Res. 2012 Mar;217(2):209-21. doi: 10.1007/s00221-011-2987-2. Epub 2011 Dec 24.
This paper deals with the analysis of changes in motoneuron (MN) firing evoked by repetitively applied stimuli aimed toward extracting information about the underlying synaptic volleys. Spike trains were obtained from computer simulations based on a threshold-crossing model of tonically firing MN, subjected to stimulation producing postsynaptic potentials (PSPs) of various parameters. These trains were analyzed as experimental results, using the output measures that were previously shown to be most effective for this purpose: peristimulus time histogram, raster plot and peristimulus time intervalgram. The analysis started from the effects of single excitatory and inhibitory PSPs (EPSPs and IPSPs). The conclusions drawn from this analysis allowed the explanation of the results of more complex synaptic volleys, i.e., combinations of EPSPs and IPSPs, and the formulation of directions for decoding the results of human neurophysiological experiments in which the responses of tonically firing MNs to nerve stimulation are analyzed.
本文讨论了通过重复应用刺激来分析运动神经元(MN)放电的变化,旨在提取有关潜在突触爆发的信息。基于持续放电 MN 的阈交叉模型的计算机模拟获得了尖峰序列,并受到产生各种参数的突触后电位(PSP)的刺激。使用先前针对此目的显示最有效的输出测量值作为实验结果对这些尖峰序列进行了分析:刺激后时间直方图、光栅图和刺激后时间间隔图。分析从单个兴奋性和抑制性 PSP(EPSP 和 IPSP)的影响开始。从该分析中得出的结论可以解释更复杂的突触爆发的结果,即 EPSP 和 IPSP 的组合,并为解码人类神经生理学实验的结果提供方向,其中分析持续放电 MN 对神经刺激的反应。