Channel Selection for Stereo- Electroencephalography (SEEG)-Based Invasive Brain-Computer Interfaces Using Deep Learning Methods

• Κύριοι συγγραφείς: Xiaolong Wu (Συγγραφέας), Guangye Li (Συγγραφέας), Xin Gao (Συγγραφέας), Benjamin Metcalfe (Συγγραφέας), Dingguo Zhang (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: IEEE, 2024-01-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: Connect to this object online.

Brain-computer interfaces (BCIs) can enable direct communication with assistive devices by recording and decoding signals from the brain. To achieve high performance, many electrodes will be used, such as the recently developed invasive BCIs with channel numbers up to hundreds or even thousands. For...