Index

_

_criteria (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] _modules (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1]

_optimizers (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1]

A

add_log_softmax (braindecode.models.base.EEGModuleMixin property) aggregate_probas() (in module braindecode.models.util) apply() (braindecode.preprocessing.mne_preprocess.Preprocessor method) (braindecode.preprocessing.preprocess.Preprocessor method) (braindecode.preprocessing.Preprocessor method), [1]

ATCNet (class in braindecode.models) (class in braindecode.models.atcnet) AugmentedDataLoader (class in braindecode.augmentation), [1] (class in braindecode.augmentation.base) AvgPool2dWithConv (class in braindecode.models.modules)

B

BalancedSequenceSampler (class in braindecode.samplers), [1] (class in braindecode.samplers.base) bandstop_filter() (in module braindecode.augmentation.functional), [1] BandstopFilter (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) BaseConcatDataset (class in braindecode.datasets), [1] (class in braindecode.datasets.base) BaseDataset (class in braindecode.datasets), [1] (class in braindecode.datasets.base) batch_size (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute) BBCIDataset (class in braindecode.datasets.bbci) BCICompetitionIVDataset4 (class in braindecode.datasets), [1] (class in braindecode.datasets.bcicomp) bias (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute) BNCI2014001 (class in braindecode.datasets), [1] (class in braindecode.datasets.moabb) BNCI2014001.BNCI2014001 (class in braindecode.datasets) (class in braindecode.datasets.moabb) braindecode module, [1] braindecode.augmentation module braindecode.augmentation.base module braindecode.augmentation.functional module braindecode.augmentation.transforms module braindecode.classifier module braindecode.datasets module braindecode.datasets.base module braindecode.datasets.bbci module braindecode.datasets.bcicomp module braindecode.datasets.mne module braindecode.datasets.moabb module braindecode.datasets.sleep_physionet module braindecode.datasets.tuh module braindecode.datasets.xy module braindecode.datautil module braindecode.datautil.mne module braindecode.datautil.preprocess module braindecode.datautil.serialization module braindecode.datautil.util module braindecode.datautil.windowers module braindecode.datautil.xy module braindecode.eegneuralnet module braindecode.models module braindecode.models.atcnet module braindecode.models.base module braindecode.models.deep4 module

braindecode.models.deepsleepnet module braindecode.models.eegconformer module braindecode.models.eeginception module braindecode.models.eeginception_erp module braindecode.models.eeginception_mi module braindecode.models.eegitnet module braindecode.models.eegnet module braindecode.models.eegresnet module braindecode.models.functions module braindecode.models.hybrid module braindecode.models.modules module braindecode.models.shallow_fbcsp module braindecode.models.sleep_stager_blanco_2020 module braindecode.models.sleep_stager_chambon_2018 module braindecode.models.sleep_stager_eldele_2021 module braindecode.models.tcn module braindecode.models.tidnet module braindecode.models.usleep module braindecode.models.util module braindecode.preprocessing module braindecode.preprocessing.mne_preprocess module braindecode.preprocessing.preprocess module braindecode.preprocessing.windowers module braindecode.regressor module braindecode.samplers module braindecode.samplers.base module braindecode.samplers.ssl module braindecode.training module braindecode.training.callbacks module braindecode.training.losses module braindecode.training.scoring module braindecode.util module braindecode.version module braindecode.visualization module braindecode.visualization.confusion_matrices module braindecode.visualization.gradients module

C

callbacks_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] CausalConv1d (class in braindecode.models.modules) channels_dropout() (in module braindecode.augmentation.functional), [1] channels_permute() (in module braindecode.augmentation.functional), [1] channels_shuffle() (in module braindecode.augmentation.functional), [1] ChannelsDropout (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) ChannelsShuffle (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) ChannelsSymmetry (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) Chomp1d (class in braindecode.models.tcn) chs_info (braindecode.models.base.EEGModuleMixin property) classes_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) CombinedConv (class in braindecode.models.modules) Compose (class in braindecode.augmentation), [1] (class in braindecode.augmentation.base) compute_amplitude_gradients() (in module braindecode.visualization), [1] (in module braindecode.visualization.gradients) compute_amplitude_gradients_for_X() (in module braindecode.visualization.gradients) Conv2dWithConstraint (class in braindecode.models.eegnet) corr() (in module braindecode.util) cov() (in module braindecode.util) create_fixed_length_windows() (in module braindecode.preprocessing), [1] (in module braindecode.preprocessing.windowers) create_from_mne_epochs() (in module braindecode.datasets), [1] (in module braindecode.datasets.mne) create_from_mne_raw() (in module braindecode.datasets), [1] (in module braindecode.datasets.mne) create_from_X_y() (in module braindecode.datasets), [1] (in module braindecode.datasets.xy) create_mne_dummy_raw() (in module braindecode.util)

create_windows_from_events() (in module braindecode.preprocessing), [1] (in module braindecode.preprocessing.windowers) create_windows_from_target_channels() (in module braindecode.preprocessing), [1] (in module braindecode.preprocessing.windowers) criterion_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] Crop (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess) CroppedLoss (class in braindecode.training), [1] (class in braindecode.training.losses) CroppedTimeSeriesEpochScoring (class in braindecode.training), [1] (class in braindecode.training.scoring) CroppedTrialEpochScoring (class in braindecode.training), [1] (class in braindecode.training.scoring) cuda_dependent_attributes_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] cumulative_sizes (braindecode.datasets.base.BaseConcatDataset attribute) (braindecode.datasets.BaseConcatDataset attribute) (braindecode.datasets.bcicomp.BCICompetitionIVDataset4 attribute) (braindecode.datasets.BCICompetitionIVDataset4 attribute) (braindecode.datasets.BNCI2014001 attribute) (braindecode.datasets.HGD attribute) (braindecode.datasets.moabb.BNCI2014001 attribute) (braindecode.datasets.moabb.HGD attribute) (braindecode.datasets.moabb.MOABBDataset attribute) (braindecode.datasets.MOABBDataset attribute) (braindecode.datasets.sleep_physionet.SleepPhysionet attribute) (braindecode.datasets.SleepPhysionet attribute) (braindecode.datasets.TUH attribute) (braindecode.datasets.tuh.TUH attribute) (braindecode.datasets.tuh.TUHAbnormal attribute) (braindecode.datasets.TUHAbnormal attribute)

D

data_path() (braindecode.datasets.HGD.Schirrmeister2017 method) (braindecode.datasets.moabb.HGD.Schirrmeister2017 method) dataset (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute) datasets (braindecode.datasets.base.BaseConcatDataset attribute) (braindecode.datasets.BaseConcatDataset attribute) (braindecode.datasets.bcicomp.BCICompetitionIVDataset4 attribute) (braindecode.datasets.BCICompetitionIVDataset4 attribute) (braindecode.datasets.BNCI2014001 attribute) (braindecode.datasets.HGD attribute) (braindecode.datasets.moabb.BNCI2014001 attribute) (braindecode.datasets.moabb.HGD attribute) (braindecode.datasets.moabb.MOABBDataset attribute) (braindecode.datasets.MOABBDataset attribute) (braindecode.datasets.sleep_physionet.SleepPhysionet attribute) (braindecode.datasets.SleepPhysionet attribute) (braindecode.datasets.TUH attribute) (braindecode.datasets.tuh.TUH attribute) (braindecode.datasets.tuh.TUHAbnormal attribute) (braindecode.datasets.TUHAbnormal attribute) Deep4Net (class in braindecode.models) (class in braindecode.models.deep4) DeepSleepNet (class in braindecode.models) (class in braindecode.models.deepsleepnet)

deprecated_args() (in module braindecode.models.base) description (braindecode.datasets.base.BaseConcatDataset property) (braindecode.datasets.base.BaseDataset property) (braindecode.datasets.base.EEGWindowsDataset property) (braindecode.datasets.base.WindowsDataset property) (braindecode.datasets.BaseConcatDataset property) (braindecode.datasets.BaseDataset property) (braindecode.datasets.WindowsDataset property) dilation (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute) doc (braindecode.classifier.EEGClassifier attribute) (braindecode.datasets.BNCI2014001 attribute) (braindecode.datasets.HGD attribute) (braindecode.datasets.moabb.BNCI2014001 attribute) (braindecode.datasets.moabb.HGD attribute) (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute) download() (braindecode.datasets.bcicomp.BCICompetitionIVDataset4 static method) (braindecode.datasets.BCICompetitionIVDataset4 static method), [1] drop_last (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute) DropChannels (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess)

E

EEGClassifier (class in braindecode) (class in braindecode.classifier), [1] EEGConformer (class in braindecode.models) (class in braindecode.models.eegconformer) EEGInception (class in braindecode.models) (class in braindecode.models.eeginception) EEGInceptionERP (class in braindecode.models) (class in braindecode.models.eeginception_erp) EEGInceptionMI (class in braindecode.models) (class in braindecode.models.eeginception_mi) EEGITNet (class in braindecode.models) (class in braindecode.models.eegitnet) EEGModuleMixin (class in braindecode.models) (class in braindecode.models.base) EEGNetv1 (class in braindecode.models) (class in braindecode.models.eegnet)

EEGNetv4 (class in braindecode.models) (class in braindecode.models.eegnet) EEGRegressor (class in braindecode) (class in braindecode.regressor), [1] EEGResNet (class in braindecode.models) (class in braindecode.models.eegresnet) EEGWindowsDataset (class in braindecode.datasets.base) Ensure4d (class in braindecode.models.modules) exponential_moving_demean() (in module braindecode.preprocessing), [1] (in module braindecode.preprocessing.preprocess) exponential_moving_standardize() (in module braindecode.preprocessing), [1] (in module braindecode.preprocessing.preprocess) Expression (class in braindecode.models.modules) extra_repr() (braindecode.models.tcn.Chomp1d method)

F

fetch_data_with_moabb() (in module braindecode.datasets.moabb) file_ids (braindecode.samplers.base.SequenceSampler attribute) (braindecode.samplers.SequenceSampler attribute), [1] Filter (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess) filterbank() (in module braindecode.preprocessing), [1] (in module braindecode.preprocessing.preprocess) fit() (braindecode.EEGRegressor method) (braindecode.regressor.EEGRegressor method), [1] fn (braindecode.preprocessing.Crop attribute) (braindecode.preprocessing.DropChannels attribute) (braindecode.preprocessing.Filter attribute) (braindecode.preprocessing.mne_preprocess.Crop attribute) (braindecode.preprocessing.mne_preprocess.DropChannels attribute) (braindecode.preprocessing.mne_preprocess.Filter attribute) (braindecode.preprocessing.mne_preprocess.Pick attribute) (braindecode.preprocessing.mne_preprocess.Resample attribute) (braindecode.preprocessing.mne_preprocess.SetEEGReference attribute) (braindecode.preprocessing.Pick attribute) (braindecode.preprocessing.Resample attribute) (braindecode.preprocessing.SetEEGReference attribute) forward() (braindecode.augmentation.base.Compose method) (braindecode.augmentation.base.Transform method) (braindecode.augmentation.Compose method), [1] (braindecode.augmentation.Transform method), [1] (braindecode.models.ATCNet method) (braindecode.models.atcnet.ATCNet method) (braindecode.models.DeepSleepNet method) (braindecode.models.deepsleepnet.DeepSleepNet method) (braindecode.models.EEGConformer method) (braindecode.models.eegconformer.EEGConformer method) (braindecode.models.eeginception_mi.EEGInceptionMI method) (braindecode.models.EEGInceptionMI method) (braindecode.models.eegnet.Conv2dWithConstraint method) (braindecode.models.hybrid.HybridNet method) (braindecode.models.HybridNet method) (braindecode.models.modules.AvgPool2dWithConv method) (braindecode.models.modules.CausalConv1d method) (braindecode.models.modules.CombinedConv method) (braindecode.models.modules.Ensure4d method) (braindecode.models.modules.Expression method) (braindecode.models.modules.IntermediateOutputWrapper method) (braindecode.models.modules.MaxNormLinear method) (braindecode.models.modules.TimeDistributed method) (braindecode.models.sleep_stager_blanco_2020.SleepStagerBlanco2020 method) (braindecode.models.sleep_stager_chambon_2018.SleepStagerChambon2018 method) (braindecode.models.sleep_stager_eldele_2021.SleepStagerEldele2021 method) (braindecode.models.SleepStagerBlanco2020 method) (braindecode.models.SleepStagerChambon2018 method) (braindecode.models.SleepStagerEldele2021 method) (braindecode.models.TCN method) (braindecode.models.tcn.Chomp1d method) (braindecode.models.tcn.TCN method) (braindecode.models.tcn.TemporalBlock method) (braindecode.models.TIDNet method) (braindecode.models.tidnet.TIDNet method) (braindecode.models.TimeDistributed method) (braindecode.models.USleep method) (braindecode.models.usleep.USleep method) (braindecode.training.CroppedLoss method), [1] (braindecode.training.losses.CroppedLoss method) (braindecode.training.losses.TimeSeriesLoss method) (braindecode.training.TimeSeriesLoss method), [1]

frequency_shift() (in module braindecode.augmentation.functional), [1] FrequencyShift (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) ft_surrogate() (in module braindecode.augmentation.functional), [1] FTSurrogate (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms)

G

gaussian_noise() (in module braindecode.augmentation.functional), [1] GaussianNoise (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) get_all_sensors() (braindecode.datasets.bbci.BBCIDataset static method) get_augmentation_params() (braindecode.augmentation.BandstopFilter method), [1] (braindecode.augmentation.base.Transform method) (braindecode.augmentation.ChannelsDropout method), [1] (braindecode.augmentation.ChannelsShuffle method), [1] (braindecode.augmentation.ChannelsSymmetry method), [1] (braindecode.augmentation.FrequencyShift method), [1] (braindecode.augmentation.FTSurrogate method), [1] (braindecode.augmentation.GaussianNoise method), [1] (braindecode.augmentation.Mixup method), [1] (braindecode.augmentation.SensorsRotation method), [1] (braindecode.augmentation.SmoothTimeMask method), [1] (braindecode.augmentation.Transform method), [1] (braindecode.augmentation.transforms.BandstopFilter method) (braindecode.augmentation.transforms.ChannelsDropout method) (braindecode.augmentation.transforms.ChannelsShuffle method) (braindecode.augmentation.transforms.ChannelsSymmetry method) (braindecode.augmentation.transforms.FrequencyShift method) (braindecode.augmentation.transforms.FTSurrogate method) (braindecode.augmentation.transforms.GaussianNoise method) (braindecode.augmentation.transforms.Mixup method) (braindecode.augmentation.transforms.SensorsRotation method) (braindecode.augmentation.transforms.SmoothTimeMask method)

get_balanced_batches() (in module braindecode.util) get_fc_size() (braindecode.models.EEGConformer method) (braindecode.models.eegconformer.EEGConformer method) get_iterator() (braindecode.classifier.EEGClassifier method), [1] (braindecode.EEGClassifier method) (braindecode.EEGRegressor method) (braindecode.regressor.EEGRegressor method), [1] get_loss() (braindecode.classifier.EEGClassifier method), [1] (braindecode.EEGClassifier method) get_metadata() (braindecode.datasets.base.BaseConcatDataset method) (braindecode.datasets.BaseConcatDataset method), [1] get_output_shape() (braindecode.models.base.EEGModuleMixin method) (braindecode.models.EEGModuleMixin method) (in module braindecode.models) (in module braindecode.models.util) get_torchinfo_statistics() (braindecode.models.base.EEGModuleMixin method) (braindecode.models.EEGModuleMixin method) groups (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute)

H

HGD (class in braindecode.datasets), [1] (class in braindecode.datasets.moabb) HGD.Schirrmeister2017 (class in braindecode.datasets) (class in braindecode.datasets.moabb)

HybridNet (class in braindecode.models) (class in braindecode.models.hybrid)

I

identity() (in module braindecode.augmentation.functional), [1] (in module braindecode.models.functions) IdentityTransform (class in braindecode.augmentation), [1] (class in braindecode.augmentation.base) in_channels (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute) in_features (braindecode.models.modules.MaxNormLinear attribute) info (braindecode.samplers.base.RecordingSampler attribute) (braindecode.samplers.base.SequenceSampler attribute) (braindecode.samplers.RecordingSampler attribute), [1] (braindecode.samplers.SequenceSampler attribute), [1]

initialized_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] input_shape (braindecode.models.base.EEGModuleMixin property) input_window_seconds (braindecode.models.base.EEGModuleMixin property) IntermediateOutputWrapper (class in braindecode.models.modules)

K

kernel_size (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute)

L

load() (braindecode.datasets.bbci.BBCIDataset method) load_bbci_sets_from_folder() (in module braindecode.datasets.bbci) load_concat_dataset() (in module braindecode.datautil) (in module braindecode.datautil.serialization)

load_state_dict() (braindecode.models.base.EEGModuleMixin method) (braindecode.models.EEGModuleMixin method)

M

mapping (braindecode.models.base.EEGModuleMixin attribute) MaxNormConstraintCallback (class in braindecode.training.callbacks) MaxNormLinear (class in braindecode.models.modules) Mixup (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) mixup() (in module braindecode.augmentation.functional), [1] mixup_criterion() (in module braindecode.training), [1] (in module braindecode.training.losses) MOABBDataset (class in braindecode.datasets), [1] (class in braindecode.datasets.moabb) module braindecode, [1] braindecode.augmentation braindecode.augmentation.base braindecode.augmentation.functional braindecode.augmentation.transforms braindecode.classifier braindecode.datasets braindecode.datasets.base braindecode.datasets.bbci braindecode.datasets.bcicomp braindecode.datasets.mne braindecode.datasets.moabb braindecode.datasets.sleep_physionet braindecode.datasets.tuh braindecode.datasets.xy braindecode.datautil braindecode.datautil.mne braindecode.datautil.preprocess braindecode.datautil.serialization braindecode.datautil.util braindecode.datautil.windowers braindecode.datautil.xy braindecode.eegneuralnet braindecode.models braindecode.models.atcnet braindecode.models.base braindecode.models.deep4 braindecode.models.deepsleepnet braindecode.models.eegconformer braindecode.models.eeginception braindecode.models.eeginception_erp braindecode.models.eeginception_mi braindecode.models.eegitnet braindecode.models.eegnet braindecode.models.eegresnet braindecode.models.functions braindecode.models.hybrid braindecode.models.modules braindecode.models.shallow_fbcsp braindecode.models.sleep_stager_blanco_2020 braindecode.models.sleep_stager_chambon_2018 braindecode.models.sleep_stager_eldele_2021 braindecode.models.tcn braindecode.models.tidnet braindecode.models.usleep braindecode.models.util braindecode.preprocessing braindecode.preprocessing.mne_preprocess braindecode.preprocessing.preprocess braindecode.preprocessing.windowers braindecode.regressor braindecode.samplers braindecode.samplers.base braindecode.samplers.ssl braindecode.training braindecode.training.callbacks braindecode.training.losses braindecode.training.scoring braindecode.util braindecode.version braindecode.visualization braindecode.visualization.confusion_matrices braindecode.visualization.gradients

module_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] ms_to_samples() (in module braindecode.datautil.util)

N

n_chans (braindecode.models.base.EEGModuleMixin property) n_outputs (braindecode.models.base.EEGModuleMixin property) n_recordings (braindecode.samplers.base.RecordingSampler attribute) (braindecode.samplers.base.RecordingSampler property) (braindecode.samplers.RecordingSampler attribute), [1] (braindecode.samplers.RecordingSampler property)

n_times (braindecode.models.base.EEGModuleMixin property) np_to_th() (in module braindecode.util) np_to_var() (in module braindecode.util) num_features (braindecode.models.tidnet.TIDNet property) num_workers (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute)

O

on_batch_end() (braindecode.training.callbacks.MaxNormConstraintCallback method) (braindecode.training.CroppedTrialEpochScoring method), [1] (braindecode.training.scoring.CroppedTrialEpochScoring method) on_epoch_end() (braindecode.training.CroppedTimeSeriesEpochScoring method), [1] (braindecode.training.CroppedTrialEpochScoring method), [1] (braindecode.training.PostEpochTrainScoring method), [1] (braindecode.training.scoring.CroppedTimeSeriesEpochScoring method) (braindecode.training.scoring.CroppedTrialEpochScoring method) (braindecode.training.scoring.PostEpochTrainScoring method) operation (braindecode.augmentation.base.Compose attribute) (braindecode.augmentation.base.Transform attribute) (braindecode.augmentation.Compose attribute) (braindecode.augmentation.Transform attribute) operation() (braindecode.augmentation.BandstopFilter static method), [1] (braindecode.augmentation.base.IdentityTransform static method) (braindecode.augmentation.ChannelsDropout static method), [1] (braindecode.augmentation.ChannelsShuffle static method), [1] (braindecode.augmentation.ChannelsSymmetry static method), [1] (braindecode.augmentation.FrequencyShift static method), [1] (braindecode.augmentation.FTSurrogate static method), [1] (braindecode.augmentation.GaussianNoise static method), [1] (braindecode.augmentation.IdentityTransform static method), [1] (braindecode.augmentation.Mixup static method), [1] (braindecode.augmentation.SensorsRotation static method), [1] (braindecode.augmentation.SignFlip static method), [1] (braindecode.augmentation.SmoothTimeMask static method), [1] (braindecode.augmentation.TimeReverse static method), [1] (braindecode.augmentation.transforms.BandstopFilter static method) (braindecode.augmentation.transforms.ChannelsDropout static method) (braindecode.augmentation.transforms.ChannelsShuffle static method) (braindecode.augmentation.transforms.ChannelsSymmetry static method) (braindecode.augmentation.transforms.FrequencyShift static method) (braindecode.augmentation.transforms.FTSurrogate static method) (braindecode.augmentation.transforms.GaussianNoise static method) (braindecode.augmentation.transforms.Mixup static method) (braindecode.augmentation.transforms.SensorsRotation static method) (braindecode.augmentation.transforms.SignFlip static method) (braindecode.augmentation.transforms.SmoothTimeMask static method) (braindecode.augmentation.transforms.TimeReverse static method)

out_channels (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute) out_features (braindecode.models.modules.MaxNormLinear attribute) output_padding (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute)

P

padding (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute) padding_mode (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute) Pick (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess) pin_memory (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute) pin_memory_device (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute) plot_confusion_matrix() (in module braindecode.visualization), [1] (in module braindecode.visualization.confusion_matrices) possible_subjects (braindecode.datasets.bcicomp.BCICompetitionIVDataset4 attribute) (braindecode.datasets.BCICompetitionIVDataset4 attribute) PostEpochTrainScoring (class in braindecode.training), [1] (class in braindecode.training.scoring) predict() (braindecode.classifier.EEGClassifier method), [1] (braindecode.EEGClassifier method) predict_proba() (braindecode.classifier.EEGClassifier method), [1] (braindecode.EEGClassifier method) (braindecode.EEGRegressor method) (braindecode.regressor.EEGRegressor method), [1]

predict_trials() (braindecode.classifier.EEGClassifier method), [1] (braindecode.EEGClassifier method) (braindecode.EEGRegressor method) (braindecode.regressor.EEGRegressor method), [1] (in module braindecode.training), [1] (in module braindecode.training.scoring) prefetch_factor (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute) prefixes_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] preprocess() (in module braindecode.preprocessing), [1] (in module braindecode.preprocessing.preprocess) Preprocessor (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess) (class in braindecode.preprocessing.preprocess) presample() (braindecode.samplers.RelativePositioningSampler method), [1] (braindecode.samplers.ssl.RelativePositioningSampler method) probability (braindecode.augmentation.base.Transform property) (braindecode.augmentation.Transform property)

R

read_all_file_names() (in module braindecode.util) RecordingSampler (class in braindecode.samplers), [1] (class in braindecode.samplers.base) RelativePositioningSampler (class in braindecode.samplers), [1] (class in braindecode.samplers.ssl)

Resample (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess) return_feats (braindecode.models.sleep_stager_eldele_2021.SleepStagerEldele2021 attribute)

S

safe_log() (in module braindecode.models.functions) sample_class() (braindecode.samplers.BalancedSequenceSampler method), [1] (braindecode.samplers.base.BalancedSequenceSampler method) sample_recording() (braindecode.samplers.base.RecordingSampler method) (braindecode.samplers.RecordingSampler method), [1] sample_window() (braindecode.samplers.base.RecordingSampler method) (braindecode.samplers.RecordingSampler method), [1] sampler (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute) samples_to_ms() (in module braindecode.datautil.util) save() (braindecode.datasets.base.BaseConcatDataset method) (braindecode.datasets.BaseConcatDataset method), [1] save_concat_dataset() (in module braindecode.datautil) (in module braindecode.datautil.serialization) sensors_rotation() (in module braindecode.augmentation.functional), [1] SensorsRotation (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) SensorsXRotation (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) SensorsYRotation (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) SensorsZRotation (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) SequenceSampler (class in braindecode.samplers), [1] (class in braindecode.samplers.base) set_description() (braindecode.datasets.base.BaseConcatDataset method) (braindecode.datasets.base.BaseDataset method) (braindecode.datasets.base.EEGWindowsDataset method) (braindecode.datasets.base.WindowsDataset method) (braindecode.datasets.BaseConcatDataset method), [1] (braindecode.datasets.BaseDataset method), [1] (braindecode.datasets.WindowsDataset method), [1]

set_random_seeds() (in module braindecode.util), [1] SetEEGReference (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess) sfreq (braindecode.models.base.EEGModuleMixin property) ShallowFBCSPNet (class in braindecode.models) (class in braindecode.models.shallow_fbcsp) sign_flip() (in module braindecode.augmentation.functional), [1] SignFlip (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) SleepPhysionet (class in braindecode.datasets), [1] (class in braindecode.datasets.sleep_physionet) SleepStagerBlanco2020 (class in braindecode.models) (class in braindecode.models.sleep_stager_blanco_2020) SleepStagerChambon2018 (class in braindecode.models) (class in braindecode.models.sleep_stager_chambon_2018) SleepStagerEldele2021 (class in braindecode.models) (class in braindecode.models.sleep_stager_eldele_2021) smooth_time_mask() (in module braindecode.augmentation.functional), [1] SmoothTimeMask (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) split() (braindecode.datasets.base.BaseConcatDataset method) (braindecode.datasets.BaseConcatDataset method), [1] square() (in module braindecode.models.functions) squeeze_final_output() (in module braindecode.models.functions) stride (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute)

T

target_transform (braindecode.datasets.base.BaseConcatDataset property) (braindecode.datasets.BaseConcatDataset property) TCN (class in braindecode.models) (class in braindecode.models.tcn) TemporalBlock (class in braindecode.models.tcn) th_to_np() (in module braindecode.util) ThrowAwayIndexLoader (class in braindecode.util) TIDNet (class in braindecode.models) (class in braindecode.models.tidnet) time_reverse() (in module braindecode.augmentation.functional), [1] TimeDistributed (class in braindecode.models) (class in braindecode.models.modules) timeout (braindecode.augmentation.AugmentedDataLoader attribute) (braindecode.augmentation.base.AugmentedDataLoader attribute) TimeReverse (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) TimeSeriesLoss (class in braindecode.training), [1] (class in braindecode.training.losses) to_dense_prediction_model() (braindecode.models.base.EEGModuleMixin method) (braindecode.models.EEGModuleMixin method) (in module braindecode.models.util) training (braindecode.augmentation.base.Compose attribute) (braindecode.augmentation.base.IdentityTransform attribute) (braindecode.augmentation.base.Transform attribute) (braindecode.augmentation.transforms.BandstopFilter attribute) (braindecode.augmentation.transforms.ChannelsDropout attribute) (braindecode.augmentation.transforms.ChannelsShuffle attribute) (braindecode.augmentation.transforms.ChannelsSymmetry attribute) (braindecode.augmentation.transforms.FrequencyShift attribute) (braindecode.augmentation.transforms.FTSurrogate attribute) (braindecode.augmentation.transforms.GaussianNoise attribute) (braindecode.augmentation.transforms.Mixup attribute) (braindecode.augmentation.transforms.SensorsRotation attribute) (braindecode.augmentation.transforms.SensorsXRotation attribute) (braindecode.augmentation.transforms.SensorsYRotation attribute) (braindecode.augmentation.transforms.SensorsZRotation attribute) (braindecode.augmentation.transforms.SignFlip attribute) (braindecode.augmentation.transforms.SmoothTimeMask attribute) (braindecode.augmentation.transforms.TimeReverse attribute) (braindecode.models.atcnet.ATCNet attribute) (braindecode.models.modules.AvgPool2dWithConv attribute) (braindecode.models.modules.CombinedConv attribute) (braindecode.models.modules.Ensure4d attribute) (braindecode.models.modules.Expression attribute) (braindecode.models.modules.IntermediateOutputWrapper attribute) (braindecode.models.modules.TimeDistributed attribute) (braindecode.models.tcn.Chomp1d attribute) (braindecode.models.tcn.TemporalBlock attribute) (braindecode.training.CroppedLoss attribute) (braindecode.training.losses.CroppedLoss attribute) (braindecode.training.losses.TimeSeriesLoss attribute) (braindecode.training.TimeSeriesLoss attribute)

transform (braindecode.datasets.base.BaseConcatDataset property) (braindecode.datasets.base.BaseDataset property) (braindecode.datasets.base.EEGWindowsDataset property) (braindecode.datasets.base.WindowsDataset property) (braindecode.datasets.BaseConcatDataset property) (braindecode.datasets.BaseDataset property) (braindecode.datasets.WindowsDataset property) Transform (class in braindecode.augmentation), [1] (class in braindecode.augmentation.base) transpose_time_to_spat() (in module braindecode.models.functions) transposed (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute) trial_preds_from_window_preds() (in module braindecode.training), [1] (in module braindecode.training.scoring) TUH (class in braindecode.datasets), [1] (class in braindecode.datasets.tuh) TUHAbnormal (class in braindecode.datasets), [1] (class in braindecode.datasets.tuh)

U

update_estimator_docstring() (in module braindecode.util)

USleep (class in braindecode.models) (class in braindecode.models.usleep)

V

var_to_np() (in module braindecode.util)

W

weight (braindecode.models.eegnet.Conv2dWithConstraint attribute) (braindecode.models.modules.CausalConv1d attribute) (braindecode.models.modules.MaxNormLinear attribute)

WindowsDataset (class in braindecode.datasets), [1] (class in braindecode.datasets.base) wrap_reshape_apply_fn() (in module braindecode.util)