brainda
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Contents:
Paradigms
Available Datasets
Decomposition Methods
Manifold Learning Methods
Deep Learning Methods
Transfer Learning Methods
Utils
brainda
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brainda package
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brainda package
Subpackages
BCI Algorithms
Decomposition Methods
MI methods
CSP
SSVEP methods
CCA
TRCA
Utils
Deep Learning Methods
EEGNet
Utils
Manifold Learning Methods
Riemann Geometry
Riemann Procrustes Analysis
Transfer Learning Methods
MEKT
brainda.algorithms.utils package
Submodules
brainda.algorithms.utils.covariance module
brainda.algorithms.utils.model_selection module
Module contents
Available Datasets
MI Datasets
alex_mi
bnci
gigadb
munich2009
physionet
schirrmeister2017
zhou2016
SSVEP Datasets
nakanishi2015
tsinghua
Base Dataset
Paradigms
MI
P300
SSVEP
Base Paradigm
Utils
Channels
Download
IO
Module contents