A transformer-based deep neural network model for SSVEP classification
Steady-state visual evoked potential (SSVEP) is one of the most commonly used control signals in the brain-computer interface (BCI) systems. However, the conventional spatial filtering methods for SSVEP classification highly depend on the subject-specific calibration data. The need for the methods t...
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Main Authors: | Chen, Jianbo, Zhang, Yangsong, Pan, Yudong, Xu, Peng, Guan, Cuntai |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172792 |
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Institution: | Nanyang Technological University |
Language: | English |
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