BME6005

This course focuses on use of computational models to explore classical and modern problems in neurophysiology, including the integrative properties of single neurons, representation of sensory stimuli in single neurons and neuronal populations, pattern representation and completion in neural networks, and mechanisms of learning and adaptive behavior. Students are expected to perform a substantial amount of programming in problem sets and a course project.

Prerequisites: Graduate status OR Instructor Consent.

Spring