This module builds on CE246 by providing an in-depth introduction to a wider range of analysis and classification methods required by modern Brain-Computer Interfaces (BCIs) and Peripheral Neural Interfaces (PNIs).
These include:
pre-processing,
feature extraction,
feature reduction and selection,
classification and regression,
performance evaluation.
Students will also gain practical experience of advanced analysis and classification methods required to operate BCIs/PNIs.
These include:
pre-processing,
feature extraction,
feature reduction and selection,
classification and regression,
performance evaluation.
Students will also gain practical experience of advanced analysis and classification methods required to operate BCIs/PNIs.
- Module Supervisor: Sebastian Halder