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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