This graduate level textbook provides a coherent introduction to
the body of main-stream algorithms used in electromagnetic brain
imaging, with specific emphasis on novel Bayesian algorithms. It
helps readers to more easily understand literature in biomedical
engineering and related fields and be ready to pursue research in
either the engineering or the neuroscientific aspects of
electromagnetic brain imaging. This textbook will not only appeal
to graduate students but all scientists and engineers engaged in
research on electromagnetic brain imaging.
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