Electromagnetic Source Imaging via Bayesian Modeling With Smoothness in Spatial and Temporal Domains
Accurate reconstruction of cortical activation from electroencephalography and magnetoencephalography (E/MEG) is a long-standing challenge because of the inherently ill-posed inverse problem. In this paper, a novel algorithm under the empirical Bayesian framework, source imaging with smoothness in s...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2022-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/9832821/ |
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