Index

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)