Marie-Constance Corsi

发表

A machine learning approach to screen for preclinical Alzheimer's disease

B. Dubois, L. Naccache, F. Raimondo, 2021, Neurobiology of Aging.

Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface

Danielle S. Bassett, Denis Schwartz, Fabrizio de Vico Fallani, 2017, Int. J. Neural Syst..

Riemannian Geometry on Connectivity for Clinical BCI

Florian Yger, Sylvain Chevallier, Marie-Constance Corsi, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

Fabrizio De Vico Fallani, Jean M. Vettel, Fabio Pasqualetti, 2019, Journal of neural engineering.

Brain fingerprint is based on the aperiodic, scale-free, neuronal activity

Emahnuel Troisi Lopez, E. T. Lopez, G. Sorrentino, 2022, NeuroImage.

EEG EVIDENCE OF COMPENSATORY MECHANISMS IN PRECLINICAL ALZHEIMER’S DISEASE

Hovagim Bakardjian, Stéphane Epelbaum, Federico Raimondo, 2019, Alzheimer's & Dementia.

Network-based brain–computer interfaces: principles and applications

Giulia Bassignana, Tiziana Cattai, Marie-Constance Corsi, 2020, Journal of neural engineering.

A machine learning approach to screen for preclinical Alzheimer’s disease Authors Title: A machine learning approach to screen for preclinical Alzheimer’s disease

L. Naccache, F. Raimondo, J. Sitt, 2022 .

Phase/Amplitude Synchronization of Brain Signals During Motor Imagery BCI Tasks

Danielle S. Bassett, Stefania Colonnese, Gaetano Scarano, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Topological duality of multilayer networks

F. D. V. Fallani, M. Corsi, Charley Presigny, 2023, 2306.12136.

Measuring neuronal avalanches to inform brain-computer interfaces

Leonardo L. Gollo, Ari E. Kahn, D. Bassett, 2023, bioRxiv.

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Ari E. Kahn, D. Bassett, N. George, 2020, Journal of neural engineering.

Functional disconnection of associative cortical areas predicts performance during BCI training

Danielle S. Bassett, Denis Schwartz, Ari E. Kahn, 2020, NeuroImage.

Functional disconnection of associative cortical areas predicts performance during BCI learning

Ari E. Kahn, D. Bassett, N. George, 2019 .

Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

D. Bassett, T. Lucas, F. Pasqualetti, 2019, Journal of neural engineering.

Spatiotemporal neural correlates of brain-computer interface learning

Danielle S. Bassett, Denis Schwartz, Laurent Hugueville, 2018, bioRxiv.

Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface

D. Bassett, M. Chavez, D. Schwartz, 2017, Int. J. Neural Syst..

Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimation

F. Yger, S. Chevallier, Isabelle Hoxha, 2023 .

Geometric Neural Network based on Phase Space for BCI decoding

Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, 2024, ArXiv.

Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE)

F. D. V. Fallani, F. Yger, S. Chevallier, 2021, IEEE Transactions on Biomedical Engineering.

Geometric Neural Network based on Phase Space for BCI-EEG decoding

Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, 2024, 2403.05645.

Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising

Fabrizio De Vico Fallani, Danielle S. Bassett, Stefania Colonnese, 2020, IEEE Transactions on Signal and Information Processing over Networks.

Combination of connectivity and spectral Features for motor-imagery BCI

Danielle S. Bassett, Stefania Colonnese, Fabrizio de Vico Fallani, 2019, GBCIC.

Node-layer duality in networked systems

F. D. V. Fallani, Charley Presigny, Marie-Constance Corsi, 2023, Nature communications.

HappyFeat - An interactive and efficient BCI framework for clinical applications

F. D. V. Fallani, Tristan Venot, Marie-Constance Corsi, 2023, Softw. Impacts.