Guest Editorial: Advanced Machine-Learning Methods for Brain-Machine Interfacing or Brain-Computer Interfacing

Kaijian Xia,Wen Si,Yizhang Jiang,Yudong Zhang

doi:10.1109/tcbb.2021.3078145

Guest Editorial: Advanced Machine-Learning Methods for Brain-Machine Interfacing or Brain-Computer Interfacing

Kaijian Xia, Wen Si + Show 2 more

Open Access

https://doi.org/10.1109/tcbb.2021.3078145

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Journal: IEEE/ACM transactions on computational biology and bioinformatics

Publication Date: Sep 1, 2021

Affiliation: China University of Mining and Technology, Changshu No.1 People's Hospital, Soochow University, University of South Florida, Jiangnan University, University of Leicester

#Brain-Computer Interfacing #Transfer Learning + Show 8 more

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Abstract

The seven papers in this special section focus on advanced machine learning methods for brain machine interfacing. Particular emphasis is on novel theories and methods using transfer learning and deep learning proposed for Brain-Machine Interfacing (BMI) or Brain-Computer Interfacing (BCI). Our purpose is to review the new progress and achievements on transfer learning, deep learning, and their applications in BMI or BCI in recent years.

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