文章基本信息

标题：Analysis of spike train data: Classification and Bayesian alignment
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作者：Wen Cheng ; Ian L. Dryden ; David B. Hitchcock 等
期刊名称：Electronic Journal of Statistics
印刷版ISSN：1935-7524
出版年度：2014
卷号：8
期号：2
页码：1786-1792
DOI：10.1214/14-EJS865C
语种：English
出版社：Institute of Mathematical Statistics
摘要：We analyze a data set of spike trains obtained under four different experimental conditions. We model the data curves via mixtures of normal densities. The peak locations in the fitted curves are modeled via a non-homogeneous Poisson process and classification of the spike trains into groups may be done based on the estimated spacings between peaks. We employ a Bayesian, MCMC-based registration method to align the fitted curves and summarize the data using meaningful functional statistics and posterior intervals.