Brain-Computer Interfaces Research Starter Guideline
 

Table of Contents

 

Fundamentals

  • We focus on studying non-invasive electroencephalogram-based brain-computer interfaces.
  • EEG: Electroencephalogram (EEG) is an electrophysiological monitoring method to record electrical activity of the brain. 
  • Spontaneous BCIs focus on internal cognitive processes such as event-related (de)synchronization (ERD/ERS), like motor imagery (MI).
  • For more details, please read Ch. 1 in a book, “EEG Signal Processing.”
 

Conventional Methods

  • Motor Imagery Classification Methods
  • Feature Extraction Methods
  • Classifier
  • SSVEP Classification Methods
  • Further, please read Ch. 11.3.3 in a book, Signal Processing and Machine Learning for Brain-Machine Interfaces.”
 

Deep and Hierarchical Methods

  • Shallow ConvNet
  • Deep ConvNet
  • For looking deeper, read: