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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Format: | Book |
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IEEE,
2022-01-01T00:00:00Z.
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A1234.567 |
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