MEG Workshop
Free, no sign-up neededSpring 2019English
About this course
This series helps learners understand magnetoencephalography (MEG) signals through the lens of source estimation, decoding, and connectivity: principles, pitfalls, and perspectives. MEG methodological approaches have grown remarkably during the 50-year history of MEG. A breadth of source estimation tools can localize brain activity even in challenging situations.
Description from MIT OpenCourseWare.
Where to take this course
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2019