Module aims
In this course you will examine the control of human movement from the perspective of both adaptation of the neural control system and adaptation of properties of the mechanical plant, incorporating approaches from physiology, engineering and computational neuroscience. To develop your understanding, you will examine published literature in the area and examine how results from experiments have shaped the models we use today. You will also be introduced to several applications of modelling, from flexible control in robotics to neurorehabilitation.
Learning outcomes
Upon successful completion of this module you will be able to:
- Explain the neuromechanics of human motor control and learning.
- Apply mathematical modelling to the processes associated with human motor control and learning.
- Evaluate models of human motor control and biological dynamic systems in general.
- Formulate models to describe the dynamics and control of biological systems.
Module content
In this module you will cover the following topics:
- Mechanics and control
- Single joint Neuromechanics
- Multi-joint multi-muscle kinematics
- Multi-joint dynamics and control
- Motor learning and memory
- Motor learning under unstable conditions
- Motion planning and online control
- Integration and control of sensory feedback
- Neurorehabilitation
Module lead
ECTS/FHEQ
5/7
Module code
BIOE70016
Host department
Department of Bioengineering
Term
Spring
Time slot
PM
Teaching weeks
2-11
August resit opportunity?
Yes
How to apply
Application deadline
4 October 2024
Places available (approximate)
10
Number of applicants (historic)
1
Criteria used for student selection
Fair balance between departments, then exam results from previous year
Further information
bg-studentoffice@imperial.ac.uk