Welcome to brainda’s documentation!

Brainda is a combination of advantages of MOABB and other excellent packages. I created this package to collect EEG datasets and implement BCI algorithms for my research.

Contents:

• Paradigms
  • MI
  • P300
  • SSVEP
  • Base Paradigm
• Available Datasets
  • MI Datasets
  • SSVEP Datasets
  • Base Dataset
• Decomposition Methods
  • MI methods
  • SSVEP methods
  • Utils
• Manifold Learning Methods
  • Riemann Geometry
  • Riemann Procrustes Analysis
• Deep Learning Methods
  • EEGNet
  • Utils
• Transfer Learning Methods
  • MEKT
• Utils
  • Channels
  • Download
  • IO

Indices and tables

• Index

• Module Index

• Search Page