COMP 386: Computational Neuroscience
Introduces computational methods to understand neural processing in the brain.
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.
An appreciation that many aspects of neuroscience cannot be understood without appropriate mathematical or computational frameworks, and the ability to adeptly apply these frameworks in the various domains of neuroscience.
See the Current Course Syllabi.