Course Schedule and Catalog
Course Schedule - Spring Semester 2025
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 481 001 (CRN: 25618)
ELECTROMAGNETISM AND THE BRAIN
Long Title: ELECTROMAGNETISM AND THE BRAIN
Department: Electrical & Computer Eng.
Instructor: Seymour, John
Meeting: 4:00PM - 5:15PM MW (13-JAN-2025 - 25-APR-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Section Max Enrollment: 20
Section Enrolled: 0
Total Cross-list Max Enrollment: 40
Total Cross-list Enrolled: 0
Enrollment data as of: 14-NOV-2024 12:08PM
Final Exam: No Final Exam
Description: Human brain activity is a specific form bioelectromagnetism, which is the multi-disciplinary study of the electromagnetic (EM) phenomena that arise in biological tissues. This class studies the considerable variety of “brain signals” and the generation of their corresponding EM fields that can be detected with electric and magnetic sensors. What is the intrinsic information of each signal type and in what context are those useful? Topics include EM, biophysics, spectral analysis, forward modeling, reciprocity, source localization, and the electrode/insulator design. Your final team project will build a finite element model (FEM) of brain activity and/or biophysical model and analyze those signals in a specific application. Cross-list: ELEC 583. Recommended Prerequisite(s): Introductory courses in physics, e.g. Physics 102 or 112 or 126, and time-series signal analysis, e.g., ELEC 242 or NEUR 383. Mutually Exclusive: Cannot register for ELEC 481 if student has credit for ELEC 583.