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
Link To Document :
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