Koehler W, Windhorst U
Biol Cybern. 1985;51(6):417-26. doi: 10.1007/BF00350782.
A previously presented multi-loop model of the mammalian spinal alpha-motoneurone-Renshaw cell system was extended to incorporate different physiological input patterns: Ia fibres from primary muscle spindle endings, spinal input systems descending in the ventral quadrant and from the nucleus ruber. The main goal of the computer simulation calculations was to present a number of dynamic input-output relations between these inputs which are distributed inhomogeneously to different types of alpha-MNs (that is, S-, FR-, and FF-type MNs) and the outputs of pools of the latter, for the purpose of experimental testing. The main outcome was that the phase relations of the outputs of the different types of MNs depend very much on the overall strength of recurrent inhibition, such that small changes of this strength, which appears to be small anyway, can significantly alter these phase relations. Since this strength is alterable through descending and segmental afferent inputs, this provides a physiological means of phase-decorrelation although it is unlikely to put the discharges of different MN types totally out of phase (by about 180 degrees). Also, the inhomogeneity of recurrent inhibition would help to prevent a strong phase separation of this kind. Yet a decorrelation at the microscopic level could help suppress physiological tremor.
之前提出的哺乳动物脊髓α运动神经元-闰绍细胞系统的多回路模型得到了扩展,纳入了不同的生理输入模式:来自初级肌梭末梢的Ia纤维、在腹侧象限下行的脊髓输入系统以及来自红核的输入。计算机模拟计算的主要目标是呈现这些输入之间的一些动态输入-输出关系,这些输入不均匀地分布到不同类型的α运动神经元(即S型、FR型和FF型运动神经元)以及后者的神经元池输出,以便进行实验测试。主要结果是,不同类型运动神经元输出的相位关系在很大程度上取决于回返抑制的整体强度,以至于这种强度的微小变化(无论如何看起来都很小)会显著改变这些相位关系。由于这种强度可通过下行和节段性传入输入进行改变,这提供了一种相位去相关的生理手段,尽管不太可能使不同类型运动神经元的放电完全异相(相差约180度)。此外,回返抑制的不均匀性将有助于防止这种强烈的相位分离。然而,微观层面的去相关可能有助于抑制生理性震颤。