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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Index
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B
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C
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D
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E
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F
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G
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I
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K
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L
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O
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P
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R
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S
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T
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U
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V
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W
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Z
A
adaptive_batch_norm() (in module brainda.algorithms.deep_learning.base)
ajd() (in module brainda.algorithms.decomposition.csp)
AlexMI (class in brainda.datasets.alex_mi)
Alignment (class in brainda.algorithms.manifold.riemann)
anova_dimension_reduction() (in module brainda.algorithms.transfer_learning.mekt)
B
BaseDataset (class in brainda.datasets.base)
BaseParadigm (class in brainda.paradigms.base)
BasePhysionet (class in brainda.datasets.physionet)
BBCIDataset (class in brainda.datasets.schirrmeister2017)
BETA (class in brainda.datasets.tsinghua)
bias (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
BNCI2014001 (class in brainda.datasets.bnci)
BNCI2014004 (class in brainda.datasets.bnci)
brainda
module
brainda.algorithms.decomposition.base
module
brainda.algorithms.decomposition.cca
module
brainda.algorithms.decomposition.csp
module
brainda.algorithms.decomposition.trca
module
brainda.algorithms.deep_learning.base
module
brainda.algorithms.deep_learning.eegnet
module
brainda.algorithms.manifold.riemann
module
brainda.algorithms.manifold.rpa
module
brainda.algorithms.transfer_learning.mekt
module
brainda.algorithms.utils
module
brainda.algorithms.utils.covariance
module
brainda.algorithms.utils.model_selection
module
brainda.datasets.alex_mi
module
brainda.datasets.base
module
brainda.datasets.bnci
module
brainda.datasets.munich2009
module
brainda.datasets.nakanishi2015
module
brainda.datasets.physionet
module
brainda.datasets.schirrmeister2017
module
brainda.datasets.tsinghua
module
brainda.datasets.zhou2016
module
brainda.paradigms.base
module
brainda.paradigms.imagery
module
brainda.paradigms.p300
module
brainda.paradigms.ssvep
module
brainda.utils.channels
module
brainda.utils.download
module
brainda.utils.io
module
C
choose_multiple_subjects() (in module brainda.algorithms.transfer_learning.mekt)
compute_out_size() (in module brainda.algorithms.deep_learning.base)
compute_same_pad1d() (in module brainda.algorithms.deep_learning.base)
compute_same_pad2d() (in module brainda.algorithms.deep_learning.base)
Covariance (class in brainda.algorithms.utils.covariance)
covariances() (in module brainda.algorithms.utils.covariance)
CSP (class in brainda.algorithms.decomposition.csp)
csp_feature() (in module brainda.algorithms.decomposition.csp)
csp_kernel() (in module brainda.algorithms.decomposition.csp)
D
data_path() (brainda.datasets.alex_mi.AlexMI method)
(brainda.datasets.base.BaseDataset method)
(brainda.datasets.bnci.BNCI2014001 method)
(brainda.datasets.bnci.BNCI2014004 method)
(brainda.datasets.munich2009.MunichMI method)
(brainda.datasets.nakanishi2015.Nakanishi2015 method)
(brainda.datasets.physionet.BasePhysionet method)
(brainda.datasets.schirrmeister2017.Schirrmeister2017 method)
(brainda.datasets.tsinghua.BETA method)
(brainda.datasets.tsinghua.Wang2016 method)
(brainda.datasets.zhou2016.Zhou2016 method)
dilation (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
distance_riemann() (in module brainda.algorithms.manifold.riemann)
download_all() (brainda.datasets.base.BaseDataset method)
dte() (in module brainda.algorithms.transfer_learning.mekt)
E
ECCA (class in brainda.algorithms.decomposition.cca)
EnhancedLeaveOneGroupOut (class in brainda.algorithms.utils.model_selection)
EnhancedStratifiedKFold (class in brainda.algorithms.utils.model_selection)
EnhancedStratifiedShuffleSplit (class in brainda.algorithms.utils.model_selection)
expm() (in module brainda.algorithms.utils.covariance)
expmap() (in module brainda.algorithms.manifold.riemann)
F
FBCSP (class in brainda.algorithms.decomposition.csp)
FBECCA (class in brainda.algorithms.decomposition.cca)
FBItCCA (class in brainda.algorithms.decomposition.cca)
FBMsCCA (class in brainda.algorithms.decomposition.cca)
FBMsetCCA (class in brainda.algorithms.decomposition.cca)
FBMsetCCAR (class in brainda.algorithms.decomposition.cca)
FBMultiCSP (class in brainda.algorithms.decomposition.csp)
FBSCCA (class in brainda.algorithms.decomposition.cca)
FBSSCOR (class in brainda.algorithms.decomposition.trca)
FBTRCA (class in brainda.algorithms.decomposition.cca)
(class in brainda.algorithms.decomposition.trca)
FBTRCAR (class in brainda.algorithms.decomposition.cca)
FBTtCCA (class in brainda.algorithms.decomposition.cca)
FGDA (class in brainda.algorithms.manifold.riemann)
FgMDRM (class in brainda.algorithms.manifold.riemann)
FilterBank (class in brainda.algorithms.decomposition.base)
FilterBankSSVEP (class in brainda.algorithms.decomposition.base)
fit() (brainda.algorithms.decomposition.base.FilterBank method)
(brainda.algorithms.decomposition.cca.ECCA method)
(brainda.algorithms.decomposition.cca.FBECCA method)
(brainda.algorithms.decomposition.cca.FBItCCA method)
(brainda.algorithms.decomposition.cca.FBMsCCA method)
(brainda.algorithms.decomposition.cca.FBMsetCCA method)
(brainda.algorithms.decomposition.cca.FBMsetCCAR method)
(brainda.algorithms.decomposition.cca.FBTRCA method)
(brainda.algorithms.decomposition.cca.FBTRCAR method)
(brainda.algorithms.decomposition.cca.FBTtCCA method)
(brainda.algorithms.decomposition.cca.ItCCA method)
(brainda.algorithms.decomposition.cca.MsCCA method)
(brainda.algorithms.decomposition.cca.MsetCCA method)
(brainda.algorithms.decomposition.cca.MsetCCAR method)
(brainda.algorithms.decomposition.cca.SCCA method)
(brainda.algorithms.decomposition.cca.TRCA method)
(brainda.algorithms.decomposition.cca.TRCAR method)
(brainda.algorithms.decomposition.cca.TtCCA method)
(brainda.algorithms.decomposition.csp.CSP method)
(brainda.algorithms.decomposition.csp.FBCSP method)
(brainda.algorithms.decomposition.csp.FBMultiCSP method)
(brainda.algorithms.decomposition.csp.MultiCSP method)
(brainda.algorithms.decomposition.csp.SPoC method)
(brainda.algorithms.decomposition.trca.SSCOR method)
(brainda.algorithms.decomposition.trca.TRCA method)
(brainda.algorithms.deep_learning.base.NeuralNetClassifierNoLog method)
(brainda.algorithms.manifold.riemann.Alignment method)
(brainda.algorithms.manifold.riemann.FGDA method)
(brainda.algorithms.manifold.riemann.FgMDRM method)
(brainda.algorithms.manifold.riemann.MDRM method)
(brainda.algorithms.manifold.riemann.RecursiveAlignment method)
(brainda.algorithms.manifold.riemann.TSClassifier method)
(brainda.algorithms.utils.covariance.Covariance method)
fit_transform() (brainda.algorithms.transfer_learning.mekt.MEKT method)
forward() (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d method)
(brainda.algorithms.deep_learning.base.MaxNormConstraintLinear method)
(brainda.algorithms.deep_learning.eegnet.SeparableConv2d method)
G
generate_cca_references() (in module brainda.algorithms.decomposition.base)
generate_filterbank() (in module brainda.algorithms.decomposition.base)
generate_kfold_indices() (in module brainda.algorithms.utils.model_selection)
generate_loo_indices() (in module brainda.algorithms.utils.model_selection)
generate_shuffle_indices() (in module brainda.algorithms.utils.model_selection)
geodesic() (in module brainda.algorithms.manifold.riemann)
get_all_sensors() (brainda.datasets.schirrmeister2017.BBCIDataset static method)
get_data() (brainda.datasets.base.BaseDataset method)
(brainda.paradigms.base.BaseParadigm method)
get_freq() (brainda.datasets.nakanishi2015.Nakanishi2015 method)
(brainda.datasets.tsinghua.BETA method)
(brainda.datasets.tsinghua.Wang2016 method)
get_loss() (brainda.algorithms.deep_learning.base.NeuralNetClassifierNoLog method)
get_phase() (brainda.datasets.tsinghua.BETA method)
(brainda.datasets.tsinghua.Wang2016 method)
get_phases() (brainda.datasets.nakanishi2015.Nakanishi2015 method)
get_recenter() (in module brainda.algorithms.manifold.rpa)
get_rescale() (in module brainda.algorithms.manifold.rpa)
get_rotate() (in module brainda.algorithms.manifold.rpa)
graph_laplacian() (in module brainda.algorithms.transfer_learning.mekt)
groups (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
gw_csp_kernel() (in module brainda.algorithms.decomposition.csp)
I
in_features (brainda.algorithms.deep_learning.base.MaxNormConstraintLinear attribute)
invsqrtm() (in module brainda.algorithms.utils.covariance)
is_valid() (brainda.paradigms.base.BaseParadigm method)
(brainda.paradigms.imagery.MotorImagery method)
(brainda.paradigms.p300.P300 method)
(brainda.paradigms.ssvep.SSVEP method)
isPD() (in module brainda.algorithms.utils.covariance)
ItCCA (class in brainda.algorithms.decomposition.cca)
K
kernel_size (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
L
label_encoder() (in module brainda.paradigms.base)
load() (brainda.datasets.schirrmeister2017.BBCIDataset method)
loadmat() (in module brainda.utils.io)
logm() (in module brainda.algorithms.utils.covariance)
logmap() (in module brainda.algorithms.manifold.riemann)
M
match_kfold_indices() (in module brainda.algorithms.utils.model_selection)
match_loo_indices() (in module brainda.algorithms.utils.model_selection)
match_shuffle_indices() (in module brainda.algorithms.utils.model_selection)
matrix_operator() (in module brainda.algorithms.utils.covariance)
MaxNormConstraintConv2d (class in brainda.algorithms.deep_learning.base)
MaxNormConstraintLinear (class in brainda.algorithms.deep_learning.base)
MDRM (class in brainda.algorithms.manifold.riemann)
mdrm_kernel() (in module brainda.algorithms.manifold.riemann)
mean_riemann() (in module brainda.algorithms.manifold.riemann)
MEKT (class in brainda.algorithms.transfer_learning.mekt)
mekt_kernel() (in module brainda.algorithms.transfer_learning.mekt)
mne_data_path() (in module brainda.utils.download)
module
brainda
brainda.algorithms.decomposition.base
brainda.algorithms.decomposition.cca
brainda.algorithms.decomposition.csp
brainda.algorithms.decomposition.trca
brainda.algorithms.deep_learning.base
brainda.algorithms.deep_learning.eegnet
brainda.algorithms.manifold.riemann
brainda.algorithms.manifold.rpa
brainda.algorithms.transfer_learning.mekt
brainda.algorithms.utils
brainda.algorithms.utils.covariance
brainda.algorithms.utils.model_selection
brainda.datasets.alex_mi
brainda.datasets.base
brainda.datasets.bnci
brainda.datasets.munich2009
brainda.datasets.nakanishi2015
brainda.datasets.physionet
brainda.datasets.schirrmeister2017
brainda.datasets.tsinghua
brainda.datasets.zhou2016
brainda.paradigms.base
brainda.paradigms.imagery
brainda.paradigms.p300
brainda.paradigms.ssvep
brainda.utils.channels
brainda.utils.download
brainda.utils.io
MotorImagery (class in brainda.paradigms.imagery)
MsCCA (class in brainda.algorithms.decomposition.cca)
MsetCCA (class in brainda.algorithms.decomposition.cca)
MsetCCAR (class in brainda.algorithms.decomposition.cca)
MultiCSP (class in brainda.algorithms.decomposition.csp)
MunichMI (class in brainda.datasets.munich2009)
N
Nakanishi2015 (class in brainda.datasets.nakanishi2015)
nearestPD() (in module brainda.algorithms.utils.covariance)
NeuralNetClassifierNoLog (class in brainda.algorithms.deep_learning.base)
O
out_channels (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
out_features (brainda.algorithms.deep_learning.base.MaxNormConstraintLinear attribute)
output_padding (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
P
P300 (class in brainda.paradigms.p300)
padding (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
padding_mode (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
PhysionetME (class in brainda.datasets.physionet)
PhysionetMI (class in brainda.datasets.physionet)
pick_channels() (in module brainda.utils.channels)
powm() (in module brainda.algorithms.utils.covariance)
predict() (brainda.algorithms.decomposition.cca.ECCA method)
(brainda.algorithms.decomposition.cca.FBECCA method)
(brainda.algorithms.decomposition.cca.FBItCCA method)
(brainda.algorithms.decomposition.cca.FBMsCCA method)
(brainda.algorithms.decomposition.cca.FBMsetCCA method)
(brainda.algorithms.decomposition.cca.FBMsetCCAR method)
(brainda.algorithms.decomposition.cca.FBSCCA method)
(brainda.algorithms.decomposition.cca.FBTRCA method)
(brainda.algorithms.decomposition.cca.FBTRCAR method)
(brainda.algorithms.decomposition.cca.FBTtCCA method)
(brainda.algorithms.decomposition.cca.ItCCA method)
(brainda.algorithms.decomposition.cca.MsCCA method)
(brainda.algorithms.decomposition.cca.MsetCCA method)
(brainda.algorithms.decomposition.cca.MsetCCAR method)
(brainda.algorithms.decomposition.cca.SCCA method)
(brainda.algorithms.decomposition.cca.TRCA method)
(brainda.algorithms.decomposition.cca.TRCAR method)
(brainda.algorithms.decomposition.cca.TtCCA method)
(brainda.algorithms.manifold.riemann.FgMDRM method)
(brainda.algorithms.manifold.riemann.MDRM method)
(brainda.algorithms.manifold.riemann.TSClassifier method)
predict_proba() (brainda.algorithms.manifold.riemann.MDRM method)
(brainda.algorithms.manifold.riemann.TSClassifier method)
R
raw_hook() (brainda.datasets.physionet.BasePhysionet method)
recenter() (in module brainda.algorithms.manifold.rpa)
RecursiveAlignment (class in brainda.algorithms.manifold.riemann)
register_data_hook() (brainda.paradigms.base.BaseParadigm method)
register_epochs_hook() (brainda.paradigms.base.BaseParadigm method)
register_raw_hook() (brainda.paradigms.base.BaseParadigm method)
rescale() (in module brainda.algorithms.manifold.rpa)
robust_pattern() (in module brainda.algorithms.decomposition.base)
rotate() (in module brainda.algorithms.manifold.rpa)
S
scatter_matrix() (in module brainda.algorithms.transfer_learning.mekt)
SCCA (class in brainda.algorithms.decomposition.cca)
Schirrmeister2017 (class in brainda.datasets.schirrmeister2017)
SeparableConv2d (class in brainda.algorithms.deep_learning.eegnet)
set_random_seeds() (in module brainda.algorithms.utils.model_selection)
sign_flip() (in module brainda.algorithms.decomposition.base)
SkorchNet (class in brainda.algorithms.deep_learning.base)
source_discriminability() (in module brainda.algorithms.transfer_learning.mekt)
split() (brainda.algorithms.utils.model_selection.EnhancedLeaveOneGroupOut method)
(brainda.algorithms.utils.model_selection.EnhancedStratifiedKFold method)
(brainda.algorithms.utils.model_selection.EnhancedStratifiedShuffleSplit method)
SPoC (class in brainda.algorithms.decomposition.csp)
spoc_kernel() (in module brainda.algorithms.decomposition.csp)
sqrtm() (in module brainda.algorithms.utils.covariance)
SSCOR (class in brainda.algorithms.decomposition.trca)
sscor_feature() (in module brainda.algorithms.decomposition.trca)
sscor_kernel() (in module brainda.algorithms.decomposition.trca)
SSVEP (class in brainda.paradigms.ssvep)
stride (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
T
tangent_space() (in module brainda.algorithms.manifold.riemann)
training (brainda.algorithms.deep_learning.eegnet.SeparableConv2d attribute)
transform() (brainda.algorithms.decomposition.base.FilterBank method)
(brainda.algorithms.decomposition.base.FilterBankSSVEP method)
(brainda.algorithms.decomposition.cca.ECCA method)
(brainda.algorithms.decomposition.cca.ItCCA method)
(brainda.algorithms.decomposition.cca.MsCCA method)
(brainda.algorithms.decomposition.cca.MsetCCA method)
(brainda.algorithms.decomposition.cca.MsetCCAR method)
(brainda.algorithms.decomposition.cca.SCCA method)
(brainda.algorithms.decomposition.cca.TRCA method)
(brainda.algorithms.decomposition.cca.TRCAR method)
(brainda.algorithms.decomposition.cca.TtCCA method)
(brainda.algorithms.decomposition.csp.CSP method)
(brainda.algorithms.decomposition.csp.FBCSP method)
(brainda.algorithms.decomposition.csp.FBMultiCSP method)
(brainda.algorithms.decomposition.csp.MultiCSP method)
(brainda.algorithms.decomposition.csp.SPoC method)
(brainda.algorithms.decomposition.trca.FBSSCOR method)
(brainda.algorithms.decomposition.trca.FBTRCA method)
(brainda.algorithms.decomposition.trca.SSCOR method)
(brainda.algorithms.decomposition.trca.TRCA method)
(brainda.algorithms.manifold.riemann.Alignment method)
(brainda.algorithms.manifold.riemann.FGDA method)
(brainda.algorithms.manifold.riemann.FgMDRM method)
(brainda.algorithms.manifold.riemann.MDRM method)
(brainda.algorithms.manifold.riemann.RecursiveAlignment method)
(brainda.algorithms.utils.covariance.Covariance method)
transform_filterbank() (brainda.algorithms.decomposition.base.FilterBank method)
transposed (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
TRCA (class in brainda.algorithms.decomposition.cca)
(class in brainda.algorithms.decomposition.trca)
trca_feature() (in module brainda.algorithms.decomposition.trca)
trca_kernel() (in module brainda.algorithms.decomposition.trca)
TRCAR (class in brainda.algorithms.decomposition.cca)
TSClassifier (class in brainda.algorithms.manifold.riemann)
TtCCA (class in brainda.algorithms.decomposition.cca)
U
unregister_data_hook() (brainda.paradigms.base.BaseParadigm method)
unregister_epochs_hook() (brainda.paradigms.base.BaseParadigm method)
unregister_raw_hook() (brainda.paradigms.base.BaseParadigm method)
untangent_space() (in module brainda.algorithms.manifold.riemann)
unvectorize() (in module brainda.algorithms.manifold.riemann)
upper_ch_names() (in module brainda.utils.channels)
V
vectorize() (in module brainda.algorithms.manifold.riemann)
W
Wang2016 (class in brainda.datasets.tsinghua)
weight (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)
(brainda.algorithms.deep_learning.base.MaxNormConstraintLinear attribute)
Z
Zhou2016 (class in brainda.datasets.zhou2016)