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Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks
| Naziv: | Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks | Autori: | Sparacino, Laura; Antonacci, Yuri; Mijatovic, Gorana   ; Faes, Luca |
Godina: | 2025 | Publikacija: | NEUROCOMPUTING | ISSN: | 0925-2312 Neurocomputing Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | 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 | Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
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