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Danielle S. Bassett
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Publications
- 2021
- [j64]Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi, Danielle S. Bassett, Fabrizio de Vico Fallani, Stefania Colonnese:
Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising. IEEE Trans. Signal Inf. Process. over Networks 7: 493-508 (2021) - 2020
- [j61]Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio de Vico Fallani:
Functional disconnection of associative cortical areas predicts performance during BCI training. NeuroImage 209: 116500 (2020) - 2019
- [j52]Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Laurent Hugueville, Ankit N. Khambhati, Danielle S. Bassett, Fabrizio de Vico Fallani:
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) - [c11]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 - [c10]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
- [c8]Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi, Danielle S. Bassett, Gaetano Scarano, Fabrizio de Vico Fallani:
Characterization of Mental States through Node Connectivity between Brain Signals. EUSIPCO 2018: 1377-1381
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