Course Schedule and Catalog
Course Catalog - 2024-2025
ELEC 488 - THEORETICAL NEUROSCIENCE
Long Title: THEORETICAL NEUROSCIENCE: FROM CELLS TO LEARNING SYSTEMS
Department: Electrical & Computer Eng.
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): (MATH 102 OR MATH 106) AND (MATH 211 OR MATH 220 OR CMOR 304)
Description: This course presents the theoretical foundations of cellular and systems neuroscience from a quantitative perspective, integrating mathematical modeling, computational tools, and data analysis. Students will develop and apply differential equations, probabilistic models, and reverse correlation techniques to analyze neural activity and synaptic interactions. The course combines traditional lectures with student-led presentations in a seminar-style format. Coursework includes problem sets, coding-based assignments, and group projects. MATLAB or Python proficiency is strongly recommended. Cross-list: CMOR 415, NEUR 415, Graduate/Undergraduate Equivalency: ELEC 588. Recommended Prerequisite(s): This course requires coding in MATLAB or Python. As such, COMP 140, CMOR 220 or some equivalent coding experience is highly recommended. Mutually Exclusive: Cannot register for ELEC 488 if student has credit for ELEC 588.