Course #101-2-15
Tuesdays 10:00-12:00, Room 403, Bldg #35
This graduate level course for Psychology, Cognitive sciences, and Brain Sciences students focuses on advanced techniques for building and analyzing fMRI experiments. During the semester each student will build and carry out an fMRI experiment and perform several types of data analysis using Matlab. The course is taught in a computer lab and students are expected to write a considerable amount of Matlab code at home based on the examples taught in class. The grade will be based on two homework assignment that will be handed-in at the middle and end of the semester (each assignment = 50%).
Lesson 1: Introduction to fMRI – Class files
Lesson 2: Modeling the HRF & building a GLM – Class files
Lesson 3: Single subject analysis I – Class files, MRI data
Lesson 4: Single subject analysis II – Class files, Homework
Lesson 5: Multisubject data analysis – Sub1, Sub2, Sub3, Sub4, Class files
Lesson 6: Building experiments w/Psychtoolbox – Class files
Lesson 7: Visit the MRI scanner and run individual experiments
Lesson 8: Noise & head motion – Class files
Lesson 9: Natural stimuli – Class files, Scan1, Scan2
Lesson 10: Rest scans – Class files
Lesson 11: fMRI Adaptation & Classification – Class files
Here is the final project, which is due on the 4.3.18