Course Description
The neuromuscular system is one our vital organs that is involved in controlling and directing our voluntary and involuntary movements. This system can be divided into nervous system and muscles. Several strategies and hypothesis have been proposed so far to describe how the neuromuscular system works. In this course, the physiology of movements and the mentioned strategies and hypothesis are described considering computational and engineering viewpoints.
Course Goals and Objectives
The main goals of this course is being familiar with nervous centers involved in different movements, motor learning, and modelling neuromuscular controlling systems computationally.
Course Topics
Introduction
Physiology of movements and centers of movement
Muscle
Spinal cord
Motion centers in the brain
Cerebellum
Motor Cortex
Motion sensors
Muscle spindle
Muscular tendon
Joint receptors
Eye
Hypotheses and movement strategies
Centeralism
Prepheralism
Motor Program
Equilibim Hypothesis
Impedance Control
Periodic movements and walking
Walking features
Cenral Pattern Generator
Motor learning and its models
Motor learling
Internal models
Smith Predictor
Model Predictive Control
Functional electrical stimulation
Disabilities and motor diseases
Parkinson
Huntington
ALS
The course aims to:
Make the student familiar with neuromuscular system involved in voluntary movements
give them the capability of modeling the system using computational and engineering viewpoints
Reading Resources
Stark, L. (2012). Neurological control systems: Studies in bioengineering. Springer Science & Business Media.
Brooks, V. B. The Neural Basis of Motor Control. 1986.
Winters, J. M., & Woo, S. L. (Eds.). (2012). Multiple muscle systems: Biomechanics and movement organization. Springer Science & Business Media.
Shmway-cook, A., & Woolacott, M. H. (2001). Motor control theory and practical application.
Schmidt, R. A., Lee, T. D., Winstein, C., Wulf, G., & Zelaznik, H. N. (2018). Motor control and learning: A behavioral emphasis. Human kinetics.
Schmidt, R. A., & Wrisberg, C. A. (2008). Motor learning and performance: A situation-based learning approach. Human kinetics.
Shadmehr, R., Wise, S. P., & Wise, S. P. (2005). The computational neurobiology of reaching and pointing: a foundation for motor learning. MIT press.
Evaluation
Midterm Exam, Final Exam, Seminar, Final Project, Exercises
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