Computational Neuroscience
Prerequisites: COMP 400A or equivalent.
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.
Outcomes: Students will be able to adeptly apply mathematical and computational frameworks in the various domains of 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.
Outcomes: Students will be able to adeptly apply mathematical and computational frameworks in the various domains of neuroscience.