Luca Faes

Professore Associato

Università degli Studi di Palermo

Italy

Research Interests

Explore related searches

Professors in Italy Professors in Neuroscience Neuroscience professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Luca Faes is an Associate Professor at the Università degli Studi di Palermo, Italy. His research interests encompass electrocardiographic analysis, neurophysiological states, and the dynamics of complex systems. He has contributed to studies on heart rate variability, memory utilization in neural processes, and information-theoretic approaches to network interactions.

Articles (24)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (19)

Albrecht Haase

University of Trento

ITALY

Luca Faes

Research Interests

Explore related searches

Contact this professor

About

Articles (24)

Effects of electrocardiographic noise on ultra-short term Heart Rate Variability indices

Exploring transient neurophysiological states through local and time-varying measures of information dynamics

State Space Correspondence and Cross-Entropy Methods in the Assessment of Bidirectional Cardiorespiratory Coupling in Heart Failure

Time-Resolved Information-Theoretic and Spectral Analysis of fNIRS Signals from Multi-Channel Prototypal Device

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

A Model-Free Method to Quantify Memory Utilization in Neural Point Processes

Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies

Early impairment of two arms of the baroreflex response in young normotensive patients with obesity

Partial information decomposition for discrete target and continuous source random variables

Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks

Wearable Ring-Shaped Biomedical Device for Physiological Monitoring through Finger-Based Acquisition of Electrocardiographic, Photoplethysmographic, and Galvanic Skin Response Signals: Design and Preliminary Measurements

Disentangling high-order effects in the transfer entropy

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

Gradients of O-information: Low-order descriptors of high-order dependencies

On the Different Abilities of Cross-Sample Entropy and K-Nearest-Neighbor Cross-Unpredictability in Assessing Dynamic Cardiorespiratory and Cerebrovascular Interactions

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

Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses

Information-Theoretic Analysis of Cardio-Respiratory Interactions in Heart Failure Patients: Effects of Arrhythmias and Cardiac Resynchronization Therapy

Granger Causality Analysis of Transient Calcium Dynamics in the Honey Bee Antennal Lobe Network

Wearable Multisensor Ring-Shaped Probe for Assessing Stress and Blood Oxygenation: Design and Preliminary Measurements

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

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

Multiscale partial information decomposition of dynamic processes with short and long-range correlations: theory and application to cardiovascular control

Feasibility of Ultra-Short-Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and during Stress via Time-Domain and Entropy-Based Measures

Collaborators (19)

Albrecht Haase

Daniele Marinazzo

YURI ANTONACCI

Jinseok Lee

Maria Eduarda Silva

GIULIO dE FELICE

roberto miraglia

Salvatore Stivala

Laura Sparacino

Riccardo Pernice

Marco Paoli

Jean de Ville de Goyet

Francesca Gelpi

Dimitris Kugiumtzis

Sebastiano Stramaglia

Alberto Porta

Fabrizio GIULIANO

Ana Paula Rocha

Daniele Peri

Make your next move.