THEORETICAL NEUROSCIENCE: FROM CELLS TO LEARNING SYSTEMS

Credit Hours: 3 · Undergraduate Upper-Level

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 .