DocumentCode
2930225
Title
Frequency domain connectivity: an information theoretic perspective
Author
Takahashi, Daniel Y. ; Baccalá, Luiz A. ; Sameshima, Koichi
Author_Institution
Math. & Stat. Inst., Univ. of Sao Paulo, São Paulo, Brazil
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
1726
Lastpage
1729
Abstract
This paper addresses the relationship between Partial Directed Coherence (PDC) and Directed Transfer Function (DTF), popular multivariate connectivity measures employed in neuroscience, and information flow as quantified by mutual information rate.
Keywords
coherence; information theory; neural nets; neurophysiology; transfer functions; DTF; PDC; directed transfer function; frequency domain connectivity; information flow; information theory; multivariate connectivity measures; mutual information rate; neuroscience; partial directed coherence; Brain; Coherence; Covariance matrix; Mutual information; Technological innovation; Time measurement; Time series analysis; Algorithms; Computer Simulation; Data Interpretation, Statistical; Information Theory; Models, Biological; Models, Statistical;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5626700
Filename
5626700
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