BIOENG 2650 - LEARNING & CONTROL OF MOVEMENT

Minimum Credits: 3
Maximum Credits: 3
The course will blend robotics, probability, and neuroscience to better understand the human motor system, particularly motor learning and control of movement. While motor control will be discussed as a feedback control problem, these theories will be compared during the entire course to what we know about the motor system. We will begin by studying muscle activation and forces, muscle sensory organs, spinal control structures, and inertial dynamics of a multi-joint limb. This will give us a sense of the machinery that the nervous system must control in order to generate coordinated movements. Probability foundations will be used as a framework to model how the nervous system updates estimates of limb position and sensory feedback during movements. Finally we will consider how disease can inform us about principles of movement control and motor learning. The course material and associated homework will require the students to use matlab to simulate control of biomechanical systems. This will allow students to appreciate the value of models to generate hypothesis and possible explain biological behaviors.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PLAN: Bioengineering (MBE or PhD)

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