Advances, Challenges, and Applications in Brain-Computer Interface

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80

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articles

Advances, Challenges, and Applications in Brain-Computer Interface

15.8K

views

80

authors

13

articles

Editors

5

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS)

Toshihisa Tanaka

Tokyo University of Agriculture and Technology

Xun Chen

University of Science and Technology of China

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About

Brain-Computer Interface (BCI) plays an important role in intelligent interaction systems, which refers to the direct communication link between the brain and external types of equipment to realize the information exchange. As one of the most attractive research fields in intelligence science, BCI has acquired great improvements and potential applications in various fields such as rehabilitation, affective computing, neuroscience, robotics, and gaming.

The purpose of this Research Topic is to present the advanced research in the field of BCI, and to highlight major open questions to address outstanding challenges in BCI. Papers that address innovative applications and algorithms related to BCI are welcome for this Research Topic. This Research Topic welcomes submissions of Original Research and Review articles, along with Report, Data Report, Hypothesis & Theory, Methods, Mini Review, and Study Protocol. Topics of interest include, but are not limited to:

- BCI paradigm including MI, SSVEP, P300, etc.

- Affective computing

- Auditory attention decoding

- Neuroimaging and neural mechanism

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Editors

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS)

Toshihisa Tanaka

Tokyo University of Agriculture and Technology

Xun Chen

University of Science and Technology of China

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Published In

Frontiers in Neuroscience

Neuroprosthetics

Frontiers in Neurology

Neuroprosthetics

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