ECA-ATCNet: Efficient EEG Decoding with Spike Integrated Transformer Conversion for BCI Applications
The Brain–Computer Interface (BCI) has applications in smart homes and healthcare by converting EEG signals into control commands. However, traditional EEG signal decoding methods are affected by individual differences, and although deep learning techniques have made significant breakthroughs, chall...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2025-02-01
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| Serie: | Applied Sciences |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2076-3417/15/4/1894 |
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