Implementation of Artificial Intelligence on Brain-Computer Interface: Review

Brain-computer interface technology (BCIs) has established a potential pathway for direct two-way communication between humans and computers. In recent years, with the help of Artificial Intelligence (AI) in advancing the analysis of neural activity and the decoding of brain signals, the combination of AI and BCI applications is becoming a hot direction. The objective of this paper is to offer a comprehensive overview of the implementations of the combination integrating AI and BCIs. In recent years, AI has garnered significant attention across five key application areas, including communication, psychological state estimation, motor imagery (MI), calibration, and interference suppression. Therefore, this paper will review the current state of BCI technology, analyze the hot fields of AI and BCI combined applications, and finally make a forecast for future trends. Despite the current shortcomings, the combination of AI and BCIs remains promising, foretelling a broad future in the decoding and analysis of brain signals.