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Course Offerings

Course Evaluation Results

Course Details

Fall 2018-2019
ELE 480 / NEU 480 / PSY 480 (STL)   No Pass/D/Fail

fMRI Decoding: Reading Minds Using Brain Scans

Kenneth A. Norman
Peter J. Ramadge

How can we decode what people are thinking by looking at their brain scans? Over the past several years, researchers have started to address this question by applying sophisticated pattern-classification algorithms to patterns of functional MRI data, with the goal of decoding the information that is represented in the subject's brain at a particular point in time. In lectures, students will learn about cutting-edge techniques for finding meaningful patterns in large, noisy datasets; in weekly computer labs, students will use these techniques to gain insight into fMRI datasets.


Sample reading list:
See instructor for complete list

Reading/Writing assignments:
Students will be responsible for weekly lab exercises (implemented as Python notebooks). For the final project, students will conduct novel analyses on a publicly available fMRI dataset.

Requirements/Grading:
Other Exam - 30%
Lab Reports - 20%
Class/Precept Participation - 10%
Problem set(s) - 40%

Other Requirements:
Statistical, design or other software use required
Open to Juniors and Seniors Only.

Prerequisites and Restrictions:
All students should have prior knowledge of computer programming (e.g., COS 126, or equivalent). Additionally, students should EITHER have prior experience with fMRI research and cognitive neuroscience (e.g., from a course like NEU 202) OR they should have prior experience with pattern classification and data mining methods (from a course like COS 324, COS 424, or ELE 535). Students who are unsure whether they have appropriate background for the course should contact the professors..

Other information:
We intend for this course to be accessible to advanced undergraduate students in Neuroscience, Psychology, Computer Science, and Engineering. Graduate students are also welcome to enroll.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
22351 L01 03:00:00 pm - 04:20:00 pm M W        Enrolled:20 Limit:24
22349 B01 01:30:00 pm - 04:20:00 pm Th        Enrolled:8 Limit:12
22350 B02 07:30:00 pm - 10:20:00 pm Th        Enrolled:12 Limit:12 Closed