Marco A. Formoso

Neuroscience · Life Sciences

6h-index283citations19works1.82yr avg
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Research Topics

EEG and Brain-Computer Interfaces(14), Neural dynamics and brain function(10), Functional Brain Connectivity Studies(6), Blind Source Separation Techniques(4), Neural Networks and Applications(3)

Publications19 total

Cerebral lateralization assessment: an explainable deep learning approach with channel attention mechanism
IEEE Journal of Biomedical and Health Informatics·2025Open Access
Probabilistic and explainable modeling of Phase–Phase Cross-Frequency Coupling patterns in EEG. Application to dyslexia diagnosis
Journal of Applied Biomedicine·2024· 6 citedOpen Access
Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration
Lecture notes in computer science·2024· 1 cited
Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia
Lecture notes in computer science·2024
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
UPM Digital Archive (Technical University of Madrid)·2023Open Access
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion·2023· 164 citedOpen Access
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
International Journal of Neural Systems·2023· 13 citedOpen Access
Algoritmo Evolutivo Multiobjetivo con Paralelismo Multinivel para Clasificación de EEGs: Análisis Energía-tiempo en Clústeres Heterogéneos
Institutional Repository of the University of Granada (University of Granada)·2022Open Access
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis
Knowledge-Based Systems·2022· 38 citedOpen Access
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning
Lecture notes in computer science·2022
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing
Lecture notes in computer science·2022· 2 citedOpen Access
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia
Lecture notes in computer science·2022· 1 cited
Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis
Sensors·2021· 25 citedOpen Access
Exploring brain connectivity in auditory processing using complex network analysis. Application to dyslexia diagnosis
arXiv (Cornell University)·2021· 1 citedOpen Access
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia\n Diagnosis
arXiv (Cornell University)·2021Open Access
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms
Sensors·2021· 28 citedOpen Access
Temporal EigenPAC for Dyslexia Diagnosis
Lecture notes in computer science·2021Open Access
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis
Lecture notes in computer science·2021· 3 citedOpen Access
Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks
Lecture notes in computer science·2020· 1 citedOpen Access

Frequent Co-authors

Andrés Ortíz(17), Nicolás J. Gallego-Molina(12), Francisco J. Martínez-Murcia(10), Juan L. Luque(9), Ignacio Rodríguez‐Rodríguez(5), Juan E. Arco(3), Javier Ramı́rez(3), Juan José Escobar(3), J. M. Górriz(2), Martin Atzmueller(2), Fabricio Ballarini(2), Diego Castillo-Barnés(2), Richard J. Duro(2), Vicente Julián(2), Krzysztof Kutt(2), Matthew Leming(2), Jiří Mekyska(2), Grzegorz J. Nalepa(2), Paulo Nováis(2), Αλεξάνδρα Ψαρρού(2)