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eNauka >  Results >  Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks
Title: Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks
Authors: Sparacino, Laura; Antonacci, Yuri; Mijatovic, Gorana  ; Faes, Luca
Issue Date: 2025
Publication: NEUROCOMPUTING
ISSN: 0925-2312 Neurocomputing Search Idenfier
Type: Article
Collation: vol. 630 str. 129675-129675
DOI: 10.1016/j.neucom.2025.129675
WoS-ID: 001431439100001
Scopus-ID: 2-s2.0-85218105349
URI: https://enauka.gov.rs/handle/123456789/972612
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21M21

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