Information theoretic interpretation of frequency domain connectivity measures
Daniel Yasumasa Takahashi, Luiz Antonio Baccal\'a, Koichi Sameshima

TL;DR
This paper introduces modified versions of PDC and DTF, two neural connectivity measures, and establishes their formal relationship to mutual information rates, enhancing the understanding of information flow in neural systems.
Contribution
It provides a new information theoretic interpretation of PDC and DTF, linking these measures to mutual information rates in neural connectivity analysis.
Findings
Modified PDC and DTF expressions are introduced.
Formal relationship to mutual information rates is established.
Enhances understanding of neural information flow.
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.
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Taxonomy
TopicsNeural Networks and Applications · Neural dynamics and brain function · Blind Source Separation Techniques
