Description
Computational Neuroscience
Introduces computational methods to understand neural processing in the brain. Levels of representation from low-level, temporally precise neural circuits to systems-level rate-encoded models, to information-theoretic approaches. Emphasis on sensory systems, primarily vision and audition, most readily demonstrating the need for such computational techniques.

Prerequisite: COMP 150 or COMP 170 or COMP 180 or Permission of Instructor.

Outcomes: Students will be able to adeptly apply mathematical and computational frameworks in the various domains of neuroscience.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Offering
Course
COMP 486
Academic Group
College of Arts and Sciences
Academic Organization
Computer Science
Enrollment Requirements
Restricted to Graduate Students.