Index

A

adaptive_batch_norm() (in module brainda.algorithms.deep_learning.base) ajd() (in module brainda.algorithms.decomposition.csp) Alignment (class in brainda.algorithms.manifold.riemann) anova_dimension_reduction() (in module brainda.algorithms.transfer_learning.mekt) aug_2() (in module brainda.algorithms.decomposition.tdca)

average_amplitude() (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) average_latency() (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) avg_feats1 (brainda.algorithms.decomposition.SKLDA.SKLDA attribute) avg_feats2 (brainda.algorithms.decomposition.SKLDA.SKLDA attribute) AvgPool2dWithConv (class in brainda.algorithms.deep_learning.base)

B

BaseAmplifier (class in brainflow.amplifiers) 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 module brainda.algorithms.decomposition module brainda.algorithms.decomposition.base module brainda.algorithms.decomposition.cca module brainda.algorithms.decomposition.csp module brainda.algorithms.decomposition.dsp module brainda.algorithms.decomposition.SKLDA module brainda.algorithms.decomposition.sscor module brainda.algorithms.decomposition.STDA module brainda.algorithms.decomposition.tdca module brainda.algorithms.deep_learning module brainda.algorithms.deep_learning.base module brainda.algorithms.deep_learning.convca module brainda.algorithms.deep_learning.deepnet module brainda.algorithms.deep_learning.eegnet module brainda.algorithms.deep_learning.guney_net module brainda.algorithms.deep_learning.shallownet module brainda.algorithms.feature_analysis module brainda.algorithms.feature_analysis.freq_analysis module brainda.algorithms.feature_analysis.time_analysis module brainda.algorithms.feature_analysis.time_freq_analysis module brainda.algorithms.manifold module brainda.algorithms.manifold.riemann module brainda.algorithms.manifold.rpa module brainda.algorithms.transfer_learning module

brainda.algorithms.transfer_learning.base module brainda.algorithms.transfer_learning.lst module brainda.algorithms.transfer_learning.mekt module brainda.algorithms.utils module brainda.algorithms.utils.covariance module brainda.algorithms.utils.model_selection module brainda.datasets.base module brainda.datasets.bnci module brainda.datasets.cho2017 module brainda.datasets.munich2009 module brainda.datasets.nakanishi2015 module brainda.datasets.physionet module brainda.datasets.schirrmeister2017 module brainda.datasets.tsinghua module brainda.datasets.tunerl module brainda.datasets.zhou2016 module brainda.paradigms module brainda.paradigms.base module brainda.paradigms.imagery module brainda.paradigms.p300 module brainda.paradigms.ssvep module brainda.utils module brainda.utils.channels module brainda.utils.download module brainda.utils.io module brainda.utils.performance module brainflow module brainflow.amplifiers module brainflow.logger module brainflow.workers module brainstim module

C

Chan_Neuroscan (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis attribute) Chan_Standard1020 (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis attribute) Cho2017 (class in brainda.datasets.cho2017) choose_multiple_subjects() (in module brainda.algorithms.transfer_learning.mekt) clear() (brainflow.amplifiers.BaseAmplifier method) clear_queue() (brainflow.workers.ProcessWorker method) close_connection() (brainflow.amplifiers.NeuroScan method) command() (brainflow.amplifiers.NeuroScan method) 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) connect_tcp() (brainflow.amplifiers.NeuroScan method) consume() (brainflow.workers.ProcessWorker method) 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

D (brainda.algorithms.decomposition.SKLDA.SKLDA attribute) data_path() (brainda.datasets.base.BaseDataset method) (brainda.datasets.bnci.BNCI2014001 method) (brainda.datasets.bnci.BNCI2014004 method) (brainda.datasets.cho2017.Cho2017 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.tunerl.Weibo2014 method) (brainda.datasets.zhou2016.Zhou2016 method)

DCPM (class in brainda.algorithms.decomposition.dsp) dilation (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute) disable_log() (in module brainflow.logger) distance_riemann() (in module brainda.algorithms.manifold.riemann) down_worker() (brainflow.amplifiers.BaseAmplifier method) download_all() (brainda.datasets.base.BaseDataset method) DSP (class in brainda.algorithms.decomposition.dsp) 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)

Ensure4d (class in brainda.algorithms.deep_learning.base) expm() (in module brainda.algorithms.utils.covariance) expmap() (in module brainda.algorithms.manifold.riemann) Expression (class in brainda.algorithms.deep_learning.base)

F

FBCSP (class in brainda.algorithms.decomposition.csp) FBDSP (class in brainda.algorithms.decomposition.dsp) 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.sscor) FBTDCA (class in brainda.algorithms.decomposition.tdca) FBTRCA (class in brainda.algorithms.decomposition.cca) 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.dsp.DCPM method) (brainda.algorithms.decomposition.dsp.DSP method) (brainda.algorithms.decomposition.dsp.FBDSP method) (brainda.algorithms.decomposition.SKLDA.SKLDA method) (brainda.algorithms.decomposition.sscor.SSCOR method) (brainda.algorithms.decomposition.STDA.STDA method) (brainda.algorithms.decomposition.tdca.FBTDCA method) (brainda.algorithms.decomposition.tdca.TDCA 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.transfer_learning.lst.LST method) (brainda.algorithms.utils.covariance.Covariance method)

fit_transform() (brainda.algorithms.transfer_learning.mekt.MEKT method) forward() (brainda.algorithms.deep_learning.base.AvgPool2dWithConv method) (brainda.algorithms.deep_learning.base.Ensure4d method) (brainda.algorithms.deep_learning.base.Expression method) (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d method) (brainda.algorithms.deep_learning.base.MaxNormConstraintLinear method) (brainda.algorithms.deep_learning.eegnet.SeparableConv2d method) (brainda.algorithms.deep_learning.shallownet.SafeLog method) (brainda.algorithms.deep_learning.shallownet.Square method) FrequencyAnalysis (class in brainda.algorithms.feature_analysis.freq_analysis) fun_hilbert() (brainda.algorithms.feature_analysis.time_freq_analysis.TimeFrequencyAnalysis method) fun_stft() (brainda.algorithms.feature_analysis.time_freq_analysis.TimeFrequencyAnalysis method) fun_topoplot() (brainda.algorithms.feature_analysis.time_freq_analysis.TimeFrequencyAnalysis method) func_morlet_wavelet() (brainda.algorithms.feature_analysis.time_freq_analysis.TimeFrequencyAnalysis 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() (brainflow.amplifiers.RingBuffer method) get_all_sensors() (brainda.datasets.schirrmeister2017.BBCIDataset static method) get_chan_id() (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) get_data() (brainda.datasets.base.BaseDataset method) (brainda.paradigms.base.BaseParadigm method) get_epoch() (brainflow.amplifiers.Marker method) get_freq() (brainda.datasets.nakanishi2015.Nakanishi2015 method) (brainda.datasets.tsinghua.BETA method) (brainda.datasets.tsinghua.Wang2016 method)

get_logger() (in module brainflow.logger) get_loss() (brainda.algorithms.deep_learning.base.NeuralNetClassifierNoLog method) get_phase() (brainda.datasets.nakanishi2015.Nakanishi2015 method) (brainda.datasets.tsinghua.BETA method) (brainda.datasets.tsinghua.Wang2016 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

identity() (in module brainda.algorithms.deep_learning.base) in_channels (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute) 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)

isfull() (brainflow.amplifiers.RingBuffer method) isPD() (in module brainda.algorithms.utils.covariance) ItCCA (class in brainda.algorithms.decomposition.cca) iter_times (brainda.algorithms.decomposition.STDA.STDA attribute)

K

kernel_size (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute)

L

label_encoder() (in module brainda.paradigms.base) lda_kernel() (in module brainda.algorithms.decomposition.STDA) lda_proba() (in module brainda.algorithms.decomposition.STDA) 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) LST (class in brainda.algorithms.transfer_learning.lst) lst_kernel() (in module brainda.algorithms.transfer_learning.lst)

M

Marker (class in brainflow.amplifiers) 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_feature() (in module 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 brainda.algorithms.decomposition brainda.algorithms.decomposition.base brainda.algorithms.decomposition.cca brainda.algorithms.decomposition.csp brainda.algorithms.decomposition.dsp brainda.algorithms.decomposition.SKLDA brainda.algorithms.decomposition.sscor brainda.algorithms.decomposition.STDA brainda.algorithms.decomposition.tdca brainda.algorithms.deep_learning brainda.algorithms.deep_learning.base brainda.algorithms.deep_learning.convca brainda.algorithms.deep_learning.deepnet brainda.algorithms.deep_learning.eegnet brainda.algorithms.deep_learning.guney_net brainda.algorithms.deep_learning.shallownet brainda.algorithms.feature_analysis brainda.algorithms.feature_analysis.freq_analysis brainda.algorithms.feature_analysis.time_analysis brainda.algorithms.feature_analysis.time_freq_analysis brainda.algorithms.manifold brainda.algorithms.manifold.riemann brainda.algorithms.manifold.rpa brainda.algorithms.transfer_learning brainda.algorithms.transfer_learning.base brainda.algorithms.transfer_learning.lst brainda.algorithms.transfer_learning.mekt brainda.algorithms.utils brainda.algorithms.utils.covariance brainda.algorithms.utils.model_selection brainda.datasets.base brainda.datasets.bnci brainda.datasets.cho2017 brainda.datasets.munich2009 brainda.datasets.nakanishi2015 brainda.datasets.physionet brainda.datasets.schirrmeister2017 brainda.datasets.tsinghua brainda.datasets.tunerl brainda.datasets.zhou2016 brainda.paradigms brainda.paradigms.base brainda.paradigms.imagery brainda.paradigms.p300 brainda.paradigms.ssvep brainda.utils brainda.utils.channels brainda.utils.download brainda.utils.io brainda.utils.performance brainflow brainflow.amplifiers brainflow.logger brainflow.workers brainstim

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)

NeuroScan (class in brainflow.amplifiers) np_to_th() (in module brainda.algorithms.deep_learning.base) nu_c1 (brainda.algorithms.decomposition.SKLDA.SKLDA attribute) nu_c2 (brainda.algorithms.decomposition.SKLDA.SKLDA attribute)

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) peak_amplitude() (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) peak_latency() (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) pearson_features() (in module brainda.algorithms.decomposition.dsp) PhysionetME (class in brainda.datasets.physionet) PhysionetMI (class in brainda.datasets.physionet) pick_channels() (in module brainda.utils.channels) plot_multi_trials() (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) plot_single_trial() (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) plot_topomap() (brainda.algorithms.feature_analysis.freq_analysis.FrequencyAnalysis method) (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) post() (brainflow.workers.ProcessWorker method) power_spectrum_periodogram() (brainda.algorithms.feature_analysis.freq_analysis.FrequencyAnalysis method) powm() (in module brainda.algorithms.utils.covariance) pre() (brainflow.workers.ProcessWorker method) 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.decomposition.dsp.DCPM method) (brainda.algorithms.decomposition.dsp.DSP method) (brainda.algorithms.decomposition.dsp.FBDSP method) (brainda.algorithms.decomposition.tdca.FBTDCA method) (brainda.algorithms.decomposition.tdca.TDCA 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) ProcessWorker (class in brainflow.workers) profile() (in module brainda.utils.performance) proj_ref() (in module brainda.algorithms.decomposition.tdca) put() (brainflow.workers.ProcessWorker method)

R

raw_hook() (brainda.datasets.physionet.BasePhysionet method) recenter() (in module brainda.algorithms.manifold.rpa) RecursiveAlignment (class in brainda.algorithms.manifold.riemann) recv() (brainflow.amplifiers.BaseAmplifier method) (brainflow.amplifiers.NeuroScan method) register_data_hook() (brainda.paradigms.base.BaseParadigm method) register_epochs_hook() (brainda.paradigms.base.BaseParadigm method)

register_raw_hook() (brainda.paradigms.base.BaseParadigm method) register_worker() (brainflow.amplifiers.BaseAmplifier method) rescale() (in module brainda.algorithms.manifold.rpa) RingBuffer (class in brainflow.amplifiers) robust_pattern() (in module brainda.algorithms.decomposition.base) rotate() (in module brainda.algorithms.manifold.rpa) run() (brainflow.workers.ProcessWorker method)

S

SafeLog (class in brainda.algorithms.deep_learning.shallownet) scatter_matrix() (in module brainda.algorithms.transfer_learning.mekt) SCCA (class in brainda.algorithms.decomposition.cca) Schirrmeister2017 (class in brainda.datasets.schirrmeister2017) send() (brainflow.amplifiers.NeuroScan method) SeparableConv2d (class in brainda.algorithms.deep_learning.eegnet) set_random_seeds() (in module brainda.algorithms.utils.model_selection) set_timeout() (brainflow.amplifiers.NeuroScan method) settimeout() (brainflow.workers.ProcessWorker method) sigma_c1 (brainda.algorithms.decomposition.SKLDA.SKLDA attribute) sigma_c2 (brainda.algorithms.decomposition.SKLDA.SKLDA attribute) sign_flip() (in module brainda.algorithms.decomposition.base) signal_noise_ratio() (brainda.algorithms.feature_analysis.freq_analysis.FrequencyAnalysis method) SKLDA (class in brainda.algorithms.decomposition.SKLDA) 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) Square (class in brainda.algorithms.deep_learning.shallownet) squeeze_final_output() (in module brainda.algorithms.deep_learning.base) SSCOR (class in brainda.algorithms.decomposition.sscor) sscor_feature() (in module brainda.algorithms.decomposition.sscor) sscor_kernel() (in module brainda.algorithms.decomposition.sscor) SSVEP (class in brainda.paradigms.ssvep) stacking_average() (brainda.algorithms.feature_analysis.freq_analysis.FrequencyAnalysis method) (brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis method) start() (brainflow.amplifiers.BaseAmplifier method) start_acq() (brainflow.amplifiers.NeuroScan method) start_trans() (brainflow.amplifiers.NeuroScan method) STDA (class in brainda.algorithms.decomposition.STDA) stop() (brainflow.amplifiers.BaseAmplifier method) (brainflow.workers.ProcessWorker method) stop_acq() (brainflow.amplifiers.NeuroScan method) stop_trans() (brainflow.amplifiers.NeuroScan method) stride (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute) sum_y() (brainda.algorithms.feature_analysis.freq_analysis.FrequencyAnalysis method)

T

tangent_space() (in module brainda.algorithms.manifold.riemann) TDCA (class in brainda.algorithms.decomposition.tdca) tdca_feature() (in module brainda.algorithms.decomposition.tdca) TimeAnalysis (class in brainda.algorithms.feature_analysis.time_analysis) TimeFrequencyAnalysis (class in brainda.algorithms.feature_analysis.time_freq_analysis) training (brainda.algorithms.deep_learning.base.AvgPool2dWithConv attribute) (brainda.algorithms.deep_learning.base.Ensure4d attribute) (brainda.algorithms.deep_learning.base.Expression attribute) (brainda.algorithms.deep_learning.eegnet.SeparableConv2d attribute) (brainda.algorithms.deep_learning.shallownet.SafeLog attribute) (brainda.algorithms.deep_learning.shallownet.Square 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.dsp.DCPM method) (brainda.algorithms.decomposition.dsp.DSP method) (brainda.algorithms.decomposition.SKLDA.SKLDA method) (brainda.algorithms.decomposition.sscor.FBSSCOR method) (brainda.algorithms.decomposition.sscor.SSCOR method) (brainda.algorithms.decomposition.STDA.STDA method) (brainda.algorithms.decomposition.tdca.TDCA 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.transfer_learning.lst.LST method) (brainda.algorithms.utils.covariance.Covariance method)

transform_filterbank() (brainda.algorithms.decomposition.base.FilterBank method) transpose_time_to_spat() (in module brainda.algorithms.deep_learning.base) transposed (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute) TRCA (class in brainda.algorithms.decomposition.cca) 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) unregister_worker() (brainflow.amplifiers.BaseAmplifier method)

untangent_space() (in module brainda.algorithms.manifold.riemann) unvectorize() (in module brainda.algorithms.manifold.riemann) up_worker() (brainflow.amplifiers.BaseAmplifier method) upper_ch_names() (in module brainda.utils.channels)

V

vectorize() (in module brainda.algorithms.manifold.riemann)

W

W1 (brainda.algorithms.decomposition.STDA.STDA attribute) W2 (brainda.algorithms.decomposition.STDA.STDA attribute) Wang2016 (class in brainda.datasets.tsinghua)

Weibo2014 (class in brainda.datasets.tunerl) weight (brainda.algorithms.deep_learning.base.MaxNormConstraintConv2d attribute) (brainda.algorithms.deep_learning.base.MaxNormConstraintLinear attribute) wf (brainda.algorithms.decomposition.STDA.STDA attribute)

X

xiang_dsp_feature() (in module brainda.algorithms.decomposition.dsp)

xiang_dsp_kernel() (in module brainda.algorithms.decomposition.dsp)

Z

Zhou2016 (class in brainda.datasets.zhou2016)