APPLICABILITY OF PASCAL DISTRIBUTION TO QUANTAL ANALYSIS FOR NONSTATIONARY RELEASE OF NEUROTRANSMITTER

被引：11

作者：

HIGASHIMA, M

SAWADA, S

YAMAMOTO, C

机构：

[1] Department of Physiology, Faculty of Medicine, Kanazawa University, Kanazawa

来源：

NEUROSCIENCE LETTERS | 1990年 / 115卷 / 2-3期

关键词：

Binomial distribution; Non-stationarity; Pascal distribution; Poisson distribution; Quantal analysis; Transmitter release;

D O I：

10.1016/0304-3940(90)90460-Q

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

In order to assess the applicability of theoretical distributions to statistical analysis of neurotransmitter release, we made mathematical approaches such as derivation of frequency-generating function of the distributions, and obtained a result that a frequency distribution of the number of quanta released by the consecutive stimulations is described by a Pascal distribution when the Poisson parameter m varies temporally according to a gamma (γ) distribution. Therefore, if the experimentally obtained distribution fits with a Pascal distribution, this suggests the non-stationary nature of the release mechanism. © 1990.

引用

页码：231 / 236

页数：6

共 11 条

[1] ARE TRANSMITTER RELEASE STATISTICS MEANINGFUL [J].