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Courses - Spring 2025
KNES
Kinesiology Department Site
Open Seats as of
11/21/2024 at 07:30 AM
KNES672
Computational Motor Control and Learning: Engineering the Mind
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: KNES 385 (Motor Control and Learning) or an equivalent undergraduate or graduate course in motor neuroscience.
Recommended:
Recommended: Basic knowledge of Matlab or MS Excel.
This course critically examines how computational motor neurosciences can provide a theoretical framework to understand the underlying cognitive/sensori-motor control and learning processes in human. In particular, the internal model theory is presented and discussed through complementary, interdisciplinary approaches, which include human behavioral and neuroimaging experiments, neurophysiology and neural modeling. Applications discussed in this course include various motor rehabilitation and assistive technology (e.g., neuroprostheses) approaches.