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频域连通性测度的信息论解释

Information theoretic interpretation of frequency domain connectivity measures.

作者信息

Takahashi Daniel Y, Baccalá Luiz A, Sameshima Koichi

机构信息

Mathematics and Statistics Institute, University of São Paulo, São Paulo, 05508-090, Brazil.

出版信息

Biol Cybern. 2010 Dec;103(6):463-9. doi: 10.1007/s00422-010-0410-x. Epub 2010 Dec 14.

DOI:10.1007/s00422-010-0410-x
PMID:21153835
Abstract

In order to provide adequate multivariate measures of information flow between neural structures, modified expressions of partial directed coherence (PDC) and directed transfer function (DTF), two popular multivariate connectivity measures employed in neuroscience, are introduced and their formal relationship to mutual information rates are proved.

摘要

为了提供神经结构之间信息流的充分多变量测量方法，引入了神经科学中常用的两种多变量连通性测量方法——部分定向相干性（PDC）和定向传递函数（DTF）的修正表达式，并证明了它们与互信息率的形式关系。

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