Mamba with split-based pyramidal convolution and Kolmogorov-Arnold network-channel-spatial attention for electroencephalogram classification
Deep learning is widely used in brain electrical signal studies, among which the brain–computer interface is an important direction. Deep learning can effectively improve the performance of BCI machines, which is of great medical and commercial value. This paper introduces an efficient deep learning...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Sensors |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fsens.2025.1548729/full |
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