Computational Methods for Neuroimaging

4 units · Graduate courses (200-299)

Lecture, three hours. Requisites: courses 250A, 250B. Theory and practice of processing and analysis of functional MRI data. Topics include image registration, preprocessing and quality control, statistical modeling and inference, multivariate analysis, and machine learning methods. Letter grading.