Nerve Cell Spike Train Data Analysis: A Progression of Technique
本文回顾了神经细胞放电时间数据的统计分析技术演进，包括描述、相关性、回归和似然方法，适用于神经科学和统计学研究者判断是否阅读原文。
Abstract Collections of occurrence times of events taking place irregularly in time provide a fairly common, but not broadly discussed, data type. This article is concerned with the particular circumstance of firing times in nerve cells that interact and form networks. The article reviews a progression of statistical analysis techniques: description, association as measured by moments and correlation, regression, and finally likelihood. The data is point process, but may be seen as that of regression and of multivariate analysis in standard parlance. A simple description of data collected simultaneously for one or more cells is provided. Key Words: Binary dataNerve cellNetworkPoint processProbit analysisSemiparametric model