A survey of deep learning-based classification methods for steady-state visual evoked potentials
Purpose Steady-state visual evoked potential (SSVEP) based BCI has attracted great interests owing to the high information transfer rate (ITR) and little training requirement. The performance of SSVEP-based BCI heavily depends on the classification methods. Deep Learning (DL) technology provides an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | Brain-Apparatus Communication |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/27706710.2023.2181102 |