诱发神经递质释放：非均匀性和非平稳性的统计效应
Evoked neurotransmitter release: statistical effects of nonuniformity and nonstationarity.
作者信息
Brown T H, Perkel D H, Feldman M W
出版信息
Proc Natl Acad Sci U S A. 1976 Aug;73(8):2913-7. doi: 10.1073/pnas.73.8.2913.
Abstract
Recent studies of the mechanism of quantal neurotransmitter release have assumed that the number of quanta released at each stimulation is binomially distributed and have sought to estimate the binomial parameters n and p. Mathematical analysis and computer simulations show that temporal variation in the number of eligible or filled release sites and either spatial or temporal variation in the probability of release at a site can drastically bias such estimates, while the experimental histograms remain statistically indistinguishable from those predicted by the binomial law. Interpretation of the estimates n and p in terms of ultrastructural or physiological characteristics of the nerve terminal is liable to significant error if departures from the binomial assumptions are not suitably assessed.
摘要
近期关于量子化神经递质释放机制的研究假定，每次刺激时释放的量子数量呈二项分布，并试图估算二项分布参数n和p。数学分析和计算机模拟表明，合格或充满递质的释放位点数量的时间变化以及单个位点释放概率的空间或时间变化，都会极大地影响此类估算结果，而实验直方图在统计学上与二项分布定律预测的结果并无差异。如果未对偏离二项分布假设的情况进行适当评估，那么根据神经末梢的超微结构或生理特征对参数n和p进行解释时，很可能会出现重大误差。
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