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Kai Miyazaki1, Shun Nirasawa2, Naoki Ishibashi2
1Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan; Research Fellow of Japan Society for the Promotion of Science, Tokyo, Japan.
This study introduces a new Bayesian approach for Magnetoencephalography (MEG) source estimation. The method improves brain activity localization accuracy and reduces "information spreading" for better brain imaging insights.
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