A Multi-Source Transfer Joint Matching Method for Inter-Subject Motor Imagery Decoding

Individual differences among different subjects pose a great challenge to motor imagery (MI) decoding. Multi-source transfer learning (MSTL) is one of the most promising ways to reduce individual differences, which can utilize rich information and align the data distribution among different subjects...

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Main Authors: Fulin Wei (Author), Xueyuan Xu (Author), Tianyuan Jia (Author), Daoqiang Zhang (Author), Xia Wu (Author)
Format: Book
Published: IEEE, 2023-01-01T00:00:00Z.
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