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CSCI 482: Computational Neuroscience

Computer Science · 4 credits

Students will learn the basics of how neurons in real brains are modeled at varying scales and levels of biophysical detail. Topics include connections between biological and artificial neural networks, brain-machine interfaces, and learning in networks. We will focus on implementing these models and analysis of real datasets, including a final project applying an advanced model or analysis technique. No previous neuroscience experience is required, but students should be familiar with the Python programming language.

Offered in 1 of the 26 listed terms (Winter 2027).

Prerequisites

CSCI 305 and MATH 204

Prerequisite tree

Each course's own prerequisites, down to the first courses in the chain.

From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

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Instructors

InstructorSectionsTerms
Harris, Kameron1Winter 2027

Every offering in the listed terms (1 section)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Winter 2027013415LectureTR 2:00pm-3:40pm · KB 311Harris, Kameron0/22Face to Face Instruction