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.