The student will gain a practical experience of application machine learning to medical imaging. We will discuss the fundamental principles behind magnetic resonance imaging (MRI), electroencephalography (EEG), and magnetoencephalography (MEG). The applications will include brain computer interfaces (BCI), pathology identification, and computational neuroscience. After following this course, students should be able to read and understand most state of art research papers in the fields of machine learning for MRI, EEG, MEG, and BCI.