BIOENG 2586 - QUANTITATIVE SYSTEMS NEUROSCIENCE
Minimum Credits: 3
Maximum Credits: 3
Systems neuroscience is the field that attempts to explain perception, cognition, and behavior in terms of the activity of populations of neurons. This course examines major scientific results in systems neuroscience, and the computational principles of brain function they illustrate. Neuroscience topics include sensory processing, motor control, and memory. Computational and engineering principles include signals and systems, statistics, machine learning, and control theory. Brain-Computer Interfaces are highlighted as an example of the convergence of basic neuroscience and engineering applications. Course format consists of interactive lectures, student-led discussions of important publications, guided analysis of neuroscience data, and designing an original set of experiments.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: PROG: Swanson School of Engineering
Click here for class schedule information.
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