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Marie-Constance Corsi
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2020 – today
- 2024
- [j8]Arthur Desbois
, Tristan Venot, Fabrizio de Vico Fallani, Marie-Constance Corsi:
HappyFeat - An interactive and efficient BCI framework for clinical applications. Softw. Impacts 19: 100610 (2024) - [c8]Tiziana Cattai, Camilla Caporali, Marie-Constance Corsi, Stefania Colonnese:
Introducing the Modularity Graph: An Application to Brain Functional Networks. EUSIPCO 2024: 1611-1615 - [i4]Igor Carrara, Bruno Aristimunha
Geometric Neural Network based on Phase Space for BCI decoding. CoRR abs/2403.05645 (2024) - 2023
- [j7]Pierpaolo Sorrentino
Brain fingerprint is based on the aperiodic, scale-free, neuronal activity. NeuroImage 277: 120260 (2023) - [i3]Arthur Desbois, Tristan Venot, Fabrizio de Vico Fallani, Marie-Constance Corsi:
HappyFeat - An interactive and efficient BCI framework for clinical applications. CoRR abs/2310.02948 (2023) - 2022
- [j6]Sylvain Chevallier, Marie-Constance Corsi
Riemannian geometry for combining functional connectivity metrics and covariance in BCI. Softw. Impacts 12: 100254 (2022) - [j5]Marie-Constance Corsi
Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE). IEEE Trans. Biomed. Eng. 69(9): 2826-2838 (2022) - [c7]Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi, Fabrizio de Vico Fallani, Stefania Colonnese:
EEG as Signal on Graph: a Multilayer Network model for BCI applications. EUSIPCO 2022: 932-936 - [c6]Tristan Venot, Arthur Desbois, Marie-Constance Corsi, Laurent Hugueville, Ludovic Saint-Bauzel
Exploring strategies for multimodal BCIs in an enriched environment. MetroXRAINE 2022: 685-690 - [d1]Alexandre Barachant, Quentin Barthélemy, Jean-Rémi King, Alexandre Gramfort
pyRiemann/pyRiemann: v0.3. Zenodo, 2022 - 2021
- [j4]Tiziana Cattai
Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising. IEEE Trans. Signal Inf. Process. over Networks 7: 493-508 (2021) - [c5]Tristan Venot, Marie-Constance Corsi, Ludovic Saint-Bauzel
Towards multimodal BCIs: the impact of peripheral control on motor cortex activity and sense of agency. EMBC 2021: 5876-5879 - [c4]Marie-Constance Corsi
Riemannian Geometry on Connectivity for Clinical BCI. ICASSP 2021: 980-984 - [i2]Marie-Constance Corsi
Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity. CoRR abs/2102.06015 (2021) - [i1]Marie-Constance Corsi
Functional connectivity ensemble method to enhance BCI performance (FUCONE). CoRR abs/2111.03122 (2021) - 2020
- [j3]Marie-Constance Corsi
Functional disconnection of associative cortical areas predicts performance during BCI training. NeuroImage 209: 116500 (2020)
2010 – 2019
- 2019
- [j2]Marie-Constance Corsi
Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface. Int. J. Neural Syst. 29(1): 1850014:1-1850014:12 (2019) - [j1]Etienne Labyt
Magnetoencephalography With Optically Pumped 4He Magnetometers at Ambient Temperature. IEEE Trans. Medical Imaging 38(1): 90-98 (2019) - [c3]Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi, Danielle S. Bassett, Gaetano Scarano, Fabrizio de Vico Fallani:
Combination of connectivity and spectral Features for motor-imagery BCI. GBCIC 2019 - [c2]Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio de Vico Fallani:
Looking for cortical patterns of successful motor imagery-based BCI learning. GBCIC 2019 - 2018
- [c1]Tiziana Cattai, Stefania Colonnese
Characterization of Mental States through Node Connectivity between Brain Signals. EUSIPCO 2018: 1377-1381
Coauthor Index
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