Explicit Markov counting model of inter-spike interval time series. - Gorana Mijatovic; Tatjana Loncar-Turukalo; Laszlo Négyessy; Fülöp Bazsó; Emmanuel Procyk; László Zalányi; Janos Minich; Dragana Bajic (SISY, 2012)

Time-frequency characterization of local field potential in a decision making task. - Tatjana Loncar-Turukalo; Gorana Mijatovic; Nebojsa Bozanic; Frederic M. Stoll; Dragana Bajic; Emmanuel Procyk (EMBC, 2015)

Information - theoretic characterization of concurrent activity of neural spike trains. - Gorana Mijatovic; Tatjana Loncar-Turukalo; Nebojsa Bozanic; Luca Faes (EUSIPCO, 2020)

A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes. - Yuri Antonacci; Ludovico Minati; Gorana Mijatovic; Luca Faes (EMBC, 2021)

Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions. - Gorana Mijatovic; Yuri Antonacci; Luca Faes (EMBC, 2021)

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. - Yuri Antonacci; Ludovico Minati; Davide Nuzzi; Gorana Mijatovic; Riccardo Pernice; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (IEEE Access, 2021)

Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics. - Ivan Lazic; Riccardo Pernice; Tatjana Loncar-Turukalo; Gorana Mijatovic; Luca Faes (Entropy, 2021)

A Measure of Concurrent Neural Firing Activity Based on Mutual Information. - Gorana Mijatovic; Tatjana Loncar-Turukalo; Nebojsa Bozanic; Nina Milosavljevic; Riccardo Storchi; Luca Faes (Neuroinformatics, 2021)

An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains. - Gorana Mijatovic; Yuri Antonacci; Tatjana Loncar-Turukalo; Ludovico Minati; Luca Faes (IEEE Trans. Biomed. Eng., 2021)

Measuring the Amount of Concomitant Firing during Neural Development. - Gorana Mijatovic; Natalija Vukosavljevic; Yuri Antonacci; Luca Faes; Tatjana Loncar-Turukalo (SISY, 2022)

Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic. - Gorana Mijatovic; Dragan Kljajic; Karolina K. Kasas-Lazetic; Miodrag Milutinov; Salvatore Stivala; Alessandro Busacca; Alfonso C. Cino; Sebastiano Stramaglia; Luca Faes (Entropy, 2022)

A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. - Luca Faes; Gorana Mijatovic; Yuri Antonacci; Riccardo Pernice; Chiara Barà; Laura Sparacino; Marco Sammartino; Alberto Porta; Daniele Marinazzo; Sebastiano Stramaglia (IEEE Trans. Signal Process., 2022)

Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. - Luca Faes; Gorana Mijatovic; Laura Sparacino; Yuri Antonacci; Daniele Marinazzo; Sebastiano Stramaglia (EMBC, 2023)

Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures. - Gorana Mijatovic; Chiara Barà; Riccardo Pernice; Tatjana Loncar-Turukalo; Giandomenico Nollo; Luca Faes (EMBC, 2023)

Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies. - Marlis Ontivero-Ortega; Gorana Mijatovic; Luca Faes; Fernando E. Rosas; Daniele Marinazzo; Sebastiano Stramaglia (Entropy, 2025)

Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks. - Laura Sparacino; Yuri Antonacci; Gorana Mijatovic; Luca Faes (Neurocomputing, 2025)

Network Representation of Higher-Order Interactions Based on Information Dynamics. - Gorana Mijatovic; Yuri Antonacci; Michal Javorka; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (IEEE Trans. Netw. Sci. Eng., 2025)

Decomposing Multivariate Information Rates in Networks of Random Processes. - Laura Sparacino; Gorana Mijatovic; Yuri Antonacci; Leonardo Ricci; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (CoRR, 2025)

A Model-Free Method to Quantify Memory Utilization in Neural Point Processes. - Gorana Mijatovic; Sebastiano Stramaglia; Luca Faes (IEEE Trans. Biomed. Eng., 2025)

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors in Physiological Networks. - Luca Faes; Gorana Mijatovic; Laura Sparacino; Alberto Porta (IEEE Trans. Biomed. Eng., 2025)