On the role of generative artificial intelligence in the development of brain-computer interfaces

• Published in: BMC biomedical engineering Vol. 6; no. 1; pp. 4 - 10
• Main Author: Eldawlatly, Seif
• Format: Journal Article
• Language: English
• Published: England BioMed Central 02.05.2024; BMC
• Subjects: Accuracy; Algorithms; Artificial intelligence; Availability; Brain-computer interface; Calibration; Diffusion model; Diffusion models; EEG; Electroencephalography; Generative adversarial networks; Generative artificial intelligence; Human-computer interaction; Human-computer interface; Interfaces; Machine learning; Neural networks; People with disabilities; Quality of life; Review; Success; Transformers; Variational autoencoders; Brain-computer interface; Variational autoencoders; Generative adversarial networks; Transformers; Generative artificial intelligence; Diffusion model

Since their inception more than 50 years ago, Brain-Computer Interfaces (BCIs) have held promise to compensate for functions lost by people with disabilities through allowing direct communication between the brain and external devices. While research throughout the past decades has demonstrated the...