Information theoretic interpretation of frequency domain connectivity measures

2010/12/01 by Daniel Y. Takahashi, Daniel Yasumasa Takahashi, Luiz Antonio Baccalá +4
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Blind Source Separation Techniques #Neural Networks and Applications #math.ST #q-bio.NC #stat.TH

paper · pdf · doi:10.48550/arxiv.1012.0353

17 pages, 1 figure

arxiv created 2010/12/02 · arxiv updated 2010/12/03

Abstract

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.

Citations

• Partial directed coherence: a new concept in neural structure determination
• Investigating Causal Relations by Econometric Models and Cross-spectral Methods

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