Laura Sparacino

University of Palermo

Italy

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Articles (10)

Year:

2025

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2025

Year:

2025

Year:

2024

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2024

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2024

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2023

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2023

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2023

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2023

Collaborators (10)

Marco Tettamanti

Associate Professor

University of Milano-Bicocca

ITALY

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Luca Faes

Professore Associato

Università degli Studi di Palermo

ITALY

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YURI ANTONACCI

Assistant Professor

University of Palermo

ITALY

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roberto miraglia

Chief of Radiology Services

Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione

ITALY

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Riccardo Pernice

University of Palermo

ITALY

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Jean de Ville de Goyet

Head

ITALY

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Dimitris Kugiumtzis

GREECE

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Sebastiano Stramaglia

University of Bari Aldo Moro

ITALY

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Alberto Porta

Full Professor

Università degli Studi di Roma Tor Vergata Facoltà di Medicina e Chirurgia

ITALY

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Ana Paula Rocha

University of Porto

PORTUGAL

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Laura Sparacino

Research Interests

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Articles (10)

Spontaneous dynamical differentiation in an experimental network of single-transistor chaotic oscillators modeling a biological neuronal culture

Information-Theoretic Sequential Framework to Elicit Dynamic High-Order Interactions in High-Dimensional Network Processes

Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network

A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability

Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures

Chaotic dynamics and synchronization under tripartite couplings: Analyses and experiments using single-transistor oscillators as metaphors of neural dynamics

Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions

Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends

Rehabilitation Modulates High-Order Interactions Among Large-Scale Brain Networks in Subacute Stroke

Statistical Approaches to Identify Pairwise and High-Order Brain Functional Connectivity Signatures on a Single-Subject Basis

Collaborators (10)

Marco Tettamanti

Luca Faes

YURI ANTONACCI

roberto miraglia

Riccardo Pernice

Jean de Ville de Goyet

Dimitris Kugiumtzis

Sebastiano Stramaglia

Alberto Porta

Ana Paula Rocha

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