Nonlinear kernel-based fMRI activation detection
Kernel Canonical Correlation Analysis (KCCA) is an effective method for globally detecting brain activation with reduced computational complexity. However, the current KCCA is limited to linear kernels, and the performance of more general types of kernels remains uncertain. This study aims to expand...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Frontiers Media S.A.
2025-09-01
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| Series: | Frontiers in Neuroimaging |
| Assuntos: | |
| Acceso en liña: | https://www.frontiersin.org/articles/10.3389/fnimg.2025.1649749/full |
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