JHU BME
Laboratory for Computational
Motor Control
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Short course on
computational motor control
This is a short course that
provides a tutorial for the mathematics that has been used to formulate
problems in motor control.
580.691/491 Learning Theory
This
course introduces the probabilistic foundations of learning theory. We will
discuss topics in regression, estimation, optimal control, system
identification, Bayesian learning, and classification. Our aim is to first
derive some of the important mathematical results in learning theory, and
then apply the framework to problems in biology, particularly animal learning
and control of action. However,
this is not a machine learning course. Rather, our aim is to use these
mathematical results to better understand learning and control processes in
the central nervous system. This course is taught in the Spring semester.
440.600 Core
Course on Neuroscience
This
course introduces the human central nervous system to first year medical
students and graduate students at Johns Hopkins. The four lectures
introduce the spinal motor structures, descending tracts, posterior parietal
cortex, and the motor system of the frontal lobe. This course is taught in the spring
semester.
580.423/623 Systems Bioengineering: The nervous systems
This is one of the core courses in undergraduate education at Hopkins
BME. The purpose of this course is to introduce the central nervous system
from an engineering perspective. This course is taught in the spring
semester.
580.431/631 Computational Motor Control
This course uses topics from robotics, control theory, and
neuroscience to understand in some depth the primate motor system. Our
approach is to use mathematics to explore functions of muscles, spinal reflex
systems, posterior parietal cortex, frontal motor areas, cerebellum, and
basal ganglia. Our focus is on how these various parts of the motor system
contribute to the control and learning of reaching movements. The last time this course was offered was
in spring 2003.
Text book: Shadmehr R, Wise SP (2005) Computational
Neurobiology of Reaching and Pointing: A Foundation for Motor Learning, MIT
Press, Cambridge MA.
Web resources.
