Theoretical Neuroscience: from Cells to Learning Systems

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( 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 , ELEC 488 . Graduate/Undergraduate Equivalency: NEUR 615 . 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 NEUR 415 if student has credit for NEUR 615→NEUR 415→unlocks 2 courses

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