Yana K, Takeuchi N, Takikawa Y, Shimomura M
Biophys J. 1984 Sep;46(3):323-30. doi: 10.1016/S0006-3495(84)84028-X.
A statistical method for testing the Poisson hypothesis of spontaneous quantal transmitter release at neuromuscular junctions has been proposed. The notion of the Poisson hypothesis is extended so as to allow for nonstationarity in the data, since nonstationarity is commonly seen in the occurrence of spontaneous miniature potentials. Special emphasis has been put on the nonstationary analysis of the quantal release. A time scaling technique has been introduced and is discussed for the analysis. Artificially generated data, which simulate three types of nonstationary spontaneous quantal release, i.e., Poisson, non-Poisson-clustered, and non-Poisson-ordered types, were analyzed to demonstrate the effectiveness of the method. Some sets of miniature endplate potentials, intracellularly recorded at frog sartorius neuromuscular junctions in low Ca++ and high Mg++ solutions showing apparent nonstationarities, were analyzed as illustrative examples. The proposed method will extend the range of applicable data for the statistical analysis of spontaneous quantal transmitter release.
一种用于检验神经肌肉接头处自发量子递质释放的泊松假设的统计方法已被提出。泊松假设的概念得到了扩展，以允许数据中的非平稳性，因为非平稳性在自发微小电位的出现中很常见。特别强调了对量子释放的非平稳分析。引入了一种时间缩放技术并对其进行了分析讨论。分析了人工生成的模拟三种非平稳自发量子释放类型的数据，即泊松型、非泊松聚集型和非泊松有序型，以证明该方法的有效性。作为示例，分析了在低钙和高镁溶液中从青蛙缝匠肌神经肌肉接头细胞内记录的一些微小终板电位集，这些电位表现出明显的非平稳性。所提出的方法将扩展适用于自发量子递质释放统计分析的数据范围。
