Information theoretic interpretation of frequency domain connectivity measures
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
18/10/2012
18/10/2012
2010
|
| Resumo |
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. FAPESP[2005/56464-9] FAPESP[2008/08171-0] Programa Interunidades de Pos-Graduacao em Bioinformatica da Universidade de Sao Paulo (USP) CNPq[06964/2006-6] CNPq[3044 04/2009-8] |
| Identificador |
BIOLOGICAL CYBERNETICS, v.103, n.6, p.463-469, 2010 0340-1200 http://producao.usp.br/handle/BDPI/18676 10.1007/s00422-010-0410-x |
| Idioma(s) |
eng |
| Publicador |
SPRINGER |
| Relação |
Biological Cybernetics |
| Direitos |
restrictedAccess Copyright SPRINGER |
| Palavras-Chave | #Information flow #Partial directed coherence #Directed transfer function #Mutual information rate #Granger causality #LINEAR-DEPENDENCE #TIME-SERIES #FEEDBACK #Computer Science, Cybernetics #Neurosciences |
| Tipo |
article original article publishedVersion |
