Brain-Computer Interfaces Using Electrocorticographic Signals

By Gerwin Schalk, Eric C. Leuthardt. IEEE Reviews in Biomedical Engineering, 2011

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Quo vadis artificial intelligence? (2022, background): “Regarding the implementation solutions that bridge human minds and AI, further advancements in BMI (or braincomputer interface, BCI) technologies are necessary [89].”
Review of Multimodal Data Acquisition Approaches for Brain–Computer Interfaces (2024, unknown): “…valuable for applications such as the control of prosthetic devices and speech rehabilitation in patients with communication impairments [18,19]. setup allows for the real-time decoding of motor intentions and speech-related signals, making it particularly valuable for applications such…”
Intraoperative application and early experience with novel high-resolution, high-channel-count thin-film electrodes for human microelectrocorticography (2023, background): “25 However, the microelectrodes described here are capable of capturing brain activity with robust spatial resolution over a physiologically relevant area of the cortex, 10 representing a dramatic improvement from recordings obtained in previous micro-and macro-ECoG configurations.”