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.

Prerequisites: C- or better in COMP 150 or COMP 170 or COMP 180.

Outcomes: Appreciation that many aspects of neuroscience cannot be understood without appropriate mathematical or computational frameworks, and ability to adeptly apply these frameworks in the various domains of neuroscience.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Course Attributes
Neuroscience
Offering
Course
COMP 386
Academic Group
College of Arts and Sciences
Academic Organization
Computer Science
Enrollment Requirements
Prerequisites: C- or better in COMP 150 or COMP 170 or COMP 180.