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

• المؤلفون الرئيسيون: Xiaolong Wu (مؤلف), Guangye Li (مؤلف), Xin Gao (مؤلف), Benjamin Metcalfe (مؤلف), Dingguo Zhang (مؤلف)
• التنسيق: كتاب
• منشور في: IEEE, 2024-01-01T00:00:00Z.
• الموضوعات: article
• الوصول للمادة أونلاين: 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...