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Nerve Cell Spike Train Data Analysis: A Progression of Technique

 

作者: DavidR. Brillinger,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1992)
卷期: Volume 87, issue 418  

页码: 260-271

 

ISSN:0162-1459

 

年代: 1992

 

DOI:10.1080/01621459.1992.10475205

 

出版商: Taylor & Francis Group

 

关键词: Binary data;Nerve cell;Network;Point process;Probit analysis;Semiparametric model

 

数据来源: Taylor

 

摘要:

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.

 

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