A novel transformer for attention decoding using EEG
Electroencephalography (EEG) attention classification plays a crucial role in brain-computer interface (BCI) applications. This paper introduces EEG-PatchFormer, a novel deep learning model leveraging transformers to achieve superior EEG attention decoding. We posit that transformers’ strength in ca...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/175057 |
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Institution: | Nanyang Technological University |
Language: | English |