AUTHOR=Tai Pengrui , Ding Peng , Wang Fan , Gong Anmin , Li Tianwen , Zhao Lei , Su Lei , Fu Yunfa TITLE=Brain-computer interface paradigms and neural coding JOURNAL=Frontiers in Neuroscience VOLUME=17 YEAR=2024 URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1345961 DOI=10.3389/fnins.2023.1345961 ISSN=1662-453X ABSTRACT=

Brain signal patterns generated in the central nervous system of brain-computer interface (BCI) users are closely related to BCI paradigms and neural coding. In BCI systems, BCI paradigms and neural coding are critical elements for BCI research. However, so far there have been few references that clearly and systematically elaborated on the definition and design principles of the BCI paradigm as well as the definition and modeling principles of BCI neural coding. Therefore, these contents are expounded and the existing main BCI paradigms and neural coding are introduced in the review. Finally, the challenges and future research directions of BCI paradigm and neural coding were discussed, including user-centered design and evaluation for BCI paradigms and neural coding, revolutionizing the traditional BCI paradigms, breaking through the existing techniques for collecting brain signals and combining BCI technology with advanced AI technology to improve brain signal decoding performance. It is expected that the review will inspire innovative research and development of the BCI paradigm and neural coding.