This course covers the development of new technology for the investigation of brain function with focus on the application of this knowledge to improve technology of wider benefit to society.
For example the development of neuroprosthetic devices, new neuroimaging approaches, central nervous system drug discovery and robotic assistive devices for helping those with central nervous system disorders. Neurotechnology is in a rapid phase of growth internationally and is of strategic importance for the medical device and pharmaceutical industries.
Course structure
C=core element, S=specialist element.
Compulsory modules
- BE9-MSPHYS Systems physiology (C)
- BE9-MSTDA Statistics and data analysis (C)
- BE9-MBIMG Biomedical imaging (C)
- BE9-MJCLUB Journal club (C)
- BE9-MMDC Medical Device Certification (C)
- BE4-MCNS Computational neuroscience (S)
- BE9-MBMI Brain Machine Interfaces (S)
Option modules (at least three must be chosen)
- BE9-MBMIME Biomimetics (S)
- BE9-MHNCL Human neuromechanical control and learning (S)
- BE9-MMLNC Machine learning and neural computation (S)
- BE9-MAMI Advanced medical imaging (S)
- BE9-MAPMDA Advanced physiological monitoring and data analysis (S)
- BE3-MHASP Hearing and speech processing (S)
- BE3-HIPR Image processing (S)
- BE9-MITR Introduction to Robotics (S)
For additional credit
- BE9-MINS Introduction to Neuroscience
Students are strongly encouraged to take this module to supplement their learning. The module will be assessed as pass/fail.