Sparse EEG Source Localization Using Bernoulli Laplacian Priors

IEEE Transactions on Biomedical Engineering(2015)

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摘要
Source localization in electroencephalography has received an increasing amount of interest in the last decade. Solving the underlying ill-posed inverse problem usually requires choosing an appropriate regularization. The usual ℓ2 norm has been considered and provides solutions with low computational complexity. However, in several situations, realistic brain activity is believed to be focused in ...
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关键词
Brain modeling,Bayes methods,Electroencephalography,Data models,Monte Carlo methods,Noise
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