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

acquisitions (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) aggregate_probas() (in module braindecode.modules), [1] (in module braindecode.modules.util) apply() (braindecode.preprocessing.mne_preprocess.Preprocessor method) (braindecode.preprocessing.preprocess.Preprocessor method) (braindecode.preprocessing.Preprocessor method), [1]

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

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) BBCIDataset (class in braindecode.datasets.bbci) BCICompetitionIVDataset4 (class in braindecode.datasets), [1] (class in braindecode.datasets.bcicomp) BDTCN (class in braindecode.models), [1] (class in braindecode.models.tcn) BIDSDataset (class in braindecode.datasets), [1] (class in braindecode.datasets.bids) BIDSEpochsDataset (class in braindecode.datasets), [1] (class in braindecode.datasets.bids) BIOT (class in braindecode.models), [1] (class in braindecode.models.biot) 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.bids module braindecode.datasets.mne module braindecode.datasets.moabb module braindecode.datasets.nmt module braindecode.datasets.sleep_physio_challe_18 module braindecode.datasets.sleep_physionet module braindecode.datasets.tuh module braindecode.datasets.xy module braindecode.datautil module braindecode.datautil.serialization module braindecode.datautil.util module braindecode.eegneuralnet module braindecode.functional module braindecode.functional.functions module braindecode.functional.initialization module braindecode.models module braindecode.models.atcnet module braindecode.models.attentionbasenet module braindecode.models.base module braindecode.models.biot module braindecode.models.contrawr module braindecode.models.ctnet module braindecode.models.deep4 module braindecode.models.deepsleepnet module braindecode.models.eegconformer module braindecode.models.eeginception_erp module braindecode.models.eeginception_mi module braindecode.models.eegitnet module braindecode.models.eegminer module braindecode.models.eegnet module braindecode.models.eegnex module

braindecode.models.eegresnet module braindecode.models.eegsimpleconv module braindecode.models.eegtcnet module braindecode.models.fbcnet module braindecode.models.fblightconvnet module braindecode.models.fbmsnet module braindecode.models.hybrid module braindecode.models.ifnet module braindecode.models.labram module braindecode.models.msvtnet module braindecode.models.sccnet module braindecode.models.shallow_fbcsp module braindecode.models.signal_jepa module braindecode.models.sinc_shallow module braindecode.models.sleep_stager_blanco_2020 module braindecode.models.sleep_stager_chambon_2018 module braindecode.models.sleep_stager_eldele_2021 module braindecode.models.sparcnet module braindecode.models.syncnet module braindecode.models.tcn module braindecode.models.tidnet module braindecode.models.tsinception module braindecode.models.usleep module braindecode.models.util module braindecode.modules module braindecode.modules.activation module braindecode.modules.attention module braindecode.modules.blocks module braindecode.modules.convolution module braindecode.modules.filter module braindecode.modules.layers module braindecode.modules.linear module braindecode.modules.parametrization module braindecode.modules.stats module braindecode.modules.util module braindecode.modules.wrapper 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] CAT (class in braindecode.modules), [1] (class in braindecode.modules.attention) CATLite (class in braindecode.modules), [1] (class in braindecode.modules.attention) CausalConv1d (class in braindecode.modules), [1] (class in braindecode.modules.convolution) CBAM (class in braindecode.modules), [1] (class in braindecode.modules.attention) 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) check (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) Chomp1d (class in braindecode.modules), [1] (class in braindecode.modules.layers) chs_info (braindecode.models.base.EEGModuleMixin property) (braindecode.models.EEGModuleMixin property) classes_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) CombinedConv (class in braindecode.modules), [1] (class in braindecode.modules.convolution) 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) construct_filters() (braindecode.modules.filter.GeneralizedGaussianFilter method) (braindecode.modules.GeneralizedGaussianFilter method), [1] ContraWR (class in braindecode.models), [1] (class in braindecode.models.contrawr)

Conv2dWithConstraint (class in braindecode.modules), [1] (class in braindecode.modules.convolution) 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) CTNet (class in braindecode.models), [1] (class in braindecode.models.ctnet) cuda_dependent_attributes_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] cumulative_sizes (braindecode.datasets.bcicomp.BCICompetitionIVDataset4 attribute) (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.moabb.BNCI2014001 attribute) (braindecode.datasets.moabb.HGD attribute)

D

data_path() (braindecode.datasets.HGD.Schirrmeister2017 method) (braindecode.datasets.moabb.HGD.Schirrmeister2017 method) datasets (braindecode.datasets.bcicomp.BCICompetitionIVDataset4 attribute) (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.moabb.BNCI2014001 attribute) (braindecode.datasets.moabb.HGD attribute) datatypes (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) Deep4Net (class in braindecode.models), [1] (class in braindecode.models.deep4) DeepSleepNet (class in braindecode.models), [1] (class in braindecode.models.deepsleepnet) deprecated_args() (in module braindecode.models.base) DepthwiseConv2d (class in braindecode.modules), [1] (class in braindecode.modules.convolution) 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)

descriptions (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) DistributedRecordingSampler (class in braindecode.samplers), [1] (class in braindecode.samplers.base) DistributedRelativePositioningSampler (class in braindecode.samplers), [1] (class in braindecode.samplers.ssl) 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_path() (in module braindecode.functional), [1] (in module braindecode.functional.functions) DropChannels (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess) DropPath (class in braindecode.modules), [1] (class in braindecode.modules.layers)

E

ECA (class in braindecode.modules), [1] (class in braindecode.modules.attention) EEGClassifier (class in braindecode) (class in braindecode.classifier), [1] EEGConformer (class in braindecode.models), [1] (class in braindecode.models.eegconformer) EEGInceptionERP (class in braindecode.models), [1] (class in braindecode.models.eeginception_erp) EEGInceptionMI (class in braindecode.models), [1] (class in braindecode.models.eeginception_mi) EEGITNet (class in braindecode.models), [1] (class in braindecode.models.eegitnet) EEGMiner (class in braindecode.models), [1] (class in braindecode.models.eegminer) EEGModuleMixin (class in braindecode.models), [1] (class in braindecode.models.base) EEGNetv1 (class in braindecode.models), [1] (class in braindecode.models.eegnet) EEGNetv4 (class in braindecode.models), [1] (class in braindecode.models.eegnet) EEGNeX (class in braindecode.models), [1] (class in braindecode.models.eegnex) EEGRegressor (class in braindecode) (class in braindecode.regressor), [1] EEGResNet (class in braindecode.models), [1] (class in braindecode.models.eegresnet)

EEGSimpleConv (class in braindecode.models), [1] (class in braindecode.models.eegsimpleconv) EEGTCNet (class in braindecode.models), [1] (class in braindecode.models.eegtcnet) EEGWindowsDataset (class in braindecode.datasets.base) EncNet (class in braindecode.modules), [1] (class in braindecode.modules.attention) Ensure4d (class in braindecode.modules), [1] (class in braindecode.modules.layers) ensure_metafiles_exist() (in module braindecode.datasets.sleep_physio_challe_18) 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) exponential_power() (braindecode.modules.filter.GeneralizedGaussianFilter static method) (braindecode.modules.GeneralizedGaussianFilter static method), [1] Expression (class in braindecode.modules), [1] (class in braindecode.modules.wrapper) extensions (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) extra_repr() (braindecode.modules.activation.SafeLog method) (braindecode.modules.Chomp1d method), [1] (braindecode.modules.DropPath method), [1] (braindecode.modules.layers.Chomp1d method) (braindecode.modules.layers.DropPath method) (braindecode.modules.SafeLog method), [1]

F

FBCNet (class in braindecode.models), [1] (class in braindecode.models.fbcnet) FBLightConvNet (class in braindecode.models), [1] (class in braindecode.models.fblightconvnet) FBMSNet (class in braindecode.models), [1] (class in braindecode.models.fbmsnet) FCA (class in braindecode.modules), [1] (class in braindecode.modules.attention) FeedForwardBlock (class in braindecode.modules), [1] (class in braindecode.modules.blocks) fetch_data_with_moabb() (in module braindecode.datasets.moabb) fetch_pc18_data() (in module braindecode.datasets.sleep_physio_challe_18) 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) FilterBankLayer (class in braindecode.modules), [1] (class in braindecode.modules.filter) fit() (braindecode.EEGRegressor method) (braindecode.regressor.EEGRegressor method), [1] fix_init_weight_and_init_embedding() (braindecode.models.Labram method), [1] (braindecode.models.labram.Labram method) 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), [1] (braindecode.models.atcnet.ATCNet method) (braindecode.models.AttentionBaseNet method), [1] (braindecode.models.attentionbasenet.AttentionBaseNet method) (braindecode.models.BDTCN method), [1] (braindecode.models.BIOT method), [1] (braindecode.models.biot.BIOT method) (braindecode.models.ContraWR method), [1] (braindecode.models.contrawr.ContraWR method) (braindecode.models.CTNet method), [1] (braindecode.models.ctnet.CTNet method) (braindecode.models.DeepSleepNet method), [1] (braindecode.models.deepsleepnet.DeepSleepNet method) (braindecode.models.EEGConformer method), [1] (braindecode.models.eegconformer.EEGConformer method) (braindecode.models.eeginception_mi.EEGInceptionMI method) (braindecode.models.EEGInceptionMI method), [1] (braindecode.models.EEGMiner method), [1] (braindecode.models.eegminer.EEGMiner method) (braindecode.models.EEGNeX method), [1] (braindecode.models.eegnex.EEGNeX method) (braindecode.models.EEGSimpleConv method), [1] (braindecode.models.eegsimpleconv.EEGSimpleConv method) (braindecode.models.EEGTCNet method), [1] (braindecode.models.eegtcnet.EEGTCNet method) (braindecode.models.FBCNet method), [1] (braindecode.models.fbcnet.FBCNet method) (braindecode.models.FBLightConvNet method), [1] (braindecode.models.fblightconvnet.FBLightConvNet method) (braindecode.models.FBMSNet method), [1] (braindecode.models.fbmsnet.FBMSNet method) (braindecode.models.hybrid.HybridNet method) (braindecode.models.HybridNet method) (braindecode.models.IFNet method), [1] (braindecode.models.ifnet.IFNet method) (braindecode.models.Labram method), [1] (braindecode.models.labram.Labram method) (braindecode.models.MSVTNet method), [1] (braindecode.models.msvtnet.MSVTNet method) (braindecode.models.SCCNet method), [1] (braindecode.models.sccnet.SCCNet method) (braindecode.models.signal_jepa.SignalJEPA method) (braindecode.models.signal_jepa.SignalJEPA_Contextual method) (braindecode.models.signal_jepa.SignalJEPA_PostLocal method) (braindecode.models.signal_jepa.SignalJEPA_PreLocal method) (braindecode.models.SignalJEPA method), [1] (braindecode.models.SignalJEPA_Contextual method), [1] (braindecode.models.SignalJEPA_PostLocal method), [1] (braindecode.models.SignalJEPA_PreLocal method), [1] (braindecode.models.sinc_shallow.SincShallowNet method) (braindecode.models.SincShallowNet method), [1] (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), [1] (braindecode.models.SleepStagerChambon2018 method), [1] (braindecode.models.SleepStagerEldele2021 method), [1] (braindecode.models.SPARCNet method), [1] (braindecode.models.sparcnet.SPARCNet method) (braindecode.models.SyncNet method), [1] (braindecode.models.syncnet.SyncNet method) (braindecode.models.TCN method) (braindecode.models.tcn.BDTCN method) (braindecode.models.tcn.TCN method) (braindecode.models.TIDNet method), [1] (braindecode.models.tidnet.TIDNet method) (braindecode.models.TSceptionV1 method), [1] (braindecode.models.tsinception.TSceptionV1 method) (braindecode.models.USleep method), [1] (braindecode.models.usleep.USleep method) (braindecode.modules.activation.LogActivation method) (braindecode.modules.activation.SafeLog method) (braindecode.modules.attention.CAT method) (braindecode.modules.attention.CATLite method) (braindecode.modules.attention.CBAM method) (braindecode.modules.attention.ECA method) (braindecode.modules.attention.EncNet method) (braindecode.modules.attention.FCA method) (braindecode.modules.attention.GatherExcite method) (braindecode.modules.attention.GCT method) (braindecode.modules.attention.GSoP method) (braindecode.modules.attention.MultiHeadAttention method) (braindecode.modules.attention.SqueezeAndExcitation method) (braindecode.modules.attention.SRM method) (braindecode.modules.AvgPool2dWithConv method), [1] (braindecode.modules.blocks.InceptionBlock method) (braindecode.modules.CAT method), [1] (braindecode.modules.CATLite method), [1] (braindecode.modules.CausalConv1d method), [1] (braindecode.modules.CBAM method), [1] (braindecode.modules.Chomp1d method), [1] (braindecode.modules.CombinedConv method), [1] (braindecode.modules.convolution.AvgPool2dWithConv method) (braindecode.modules.convolution.CausalConv1d method) (braindecode.modules.convolution.CombinedConv method) (braindecode.modules.DropPath method), [1] (braindecode.modules.ECA method), [1] (braindecode.modules.EncNet method), [1] (braindecode.modules.Ensure4d method), [1] (braindecode.modules.Expression method), [1] (braindecode.modules.FCA method), [1] (braindecode.modules.filter.FilterBankLayer method) (braindecode.modules.filter.GeneralizedGaussianFilter method) (braindecode.modules.FilterBankLayer method), [1] (braindecode.modules.GatherExcite method), [1] (braindecode.modules.GCT method), [1] (braindecode.modules.GeneralizedGaussianFilter method), [1] (braindecode.modules.GSoP method), [1] (braindecode.modules.InceptionBlock method), [1] (braindecode.modules.IntermediateOutputWrapper method), [1] (braindecode.modules.layers.Chomp1d method) (braindecode.modules.layers.DropPath method) (braindecode.modules.layers.Ensure4d method) (braindecode.modules.layers.SqueezeFinalOutput method) (braindecode.modules.layers.TimeDistributed method) (braindecode.modules.LogActivation method), [1] (braindecode.modules.MaxNorm method) (braindecode.modules.MaxNormParametrize method) (braindecode.modules.MultiHeadAttention method), [1] (braindecode.modules.parametrization.MaxNorm method) (braindecode.modules.parametrization.MaxNormParametrize method) (braindecode.modules.SafeLog method), [1] (braindecode.modules.SqueezeAndExcitation method), [1] (braindecode.modules.SqueezeFinalOutput method) (braindecode.modules.SRM method), [1] (braindecode.modules.StatLayer method), [1] (braindecode.modules.stats.StatLayer method) (braindecode.modules.TimeDistributed method), [1] (braindecode.modules.wrapper.Expression method) (braindecode.modules.wrapper.IntermediateOutputWrapper method) (braindecode.training.CroppedLoss method), [1] (braindecode.training.losses.CroppedLoss method) (braindecode.training.losses.TimeSeriesLoss method) (braindecode.training.TimeSeriesLoss method), [1]

forward_features() (braindecode.models.Labram method), [1] (braindecode.models.labram.Labram method) frequency_shift() (in module braindecode.augmentation.functional), [1] FrequencyShift (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) from_pretrained() (braindecode.models.signal_jepa.SignalJEPA_Contextual class method) (braindecode.models.signal_jepa.SignalJEPA_PostLocal class method) (braindecode.models.signal_jepa.SignalJEPA_PreLocal class method) (braindecode.models.SignalJEPA_Contextual class method), [1] (braindecode.models.SignalJEPA_PostLocal class method), [1] (braindecode.models.SignalJEPA_PreLocal class method), [1] ft_surrogate() (in module braindecode.augmentation.functional), [1] FTSurrogate (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms)

G

GatherExcite (class in braindecode.modules), [1] (class in braindecode.modules.attention) gaussian_noise() (in module braindecode.augmentation.functional), [1] GaussianNoise (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) GCT (class in braindecode.modules), [1] (class in braindecode.modules.attention) GeneralizedGaussianFilter (class in braindecode.modules), [1] (class in braindecode.modules.filter) get_all_sensors() (braindecode.datasets.bbci.BBCIDataset static method) get_attention_block() (in module braindecode.models.attentionbasenet) 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.MaskEncoding method), [1] (braindecode.augmentation.Mixup method), [1] (braindecode.augmentation.SegmentationReconstruction 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.MaskEncoding method) (braindecode.augmentation.transforms.Mixup method) (braindecode.augmentation.transforms.SegmentationReconstruction method) (braindecode.augmentation.transforms.SensorsRotation method) (braindecode.augmentation.transforms.SmoothTimeMask method)

get_balanced_batches() (in module braindecode.util) get_classifier() (braindecode.models.Labram method), [1] (braindecode.models.labram.Labram method) get_dct_filter() (braindecode.modules.attention.FCA static method) (braindecode.modules.FCA static method), [1] get_fc_size() (braindecode.models.EEGConformer method), [1] (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_num_layers() (braindecode.models.Labram method), [1] (braindecode.models.labram.Labram method) get_output_shape() (braindecode.models.base.EEGModuleMixin method) (braindecode.models.EEGModuleMixin method), [1] get_summary_table() (in module braindecode.models.util) get_torchinfo_statistics() (braindecode.models.base.EEGModuleMixin method) (braindecode.models.EEGModuleMixin method), [1] glorot_weight_zero_bias() (in module braindecode.functional), [1] (in module braindecode.functional.initialization) GSoP (class in braindecode.modules), [1] (class in braindecode.modules.attention)

H

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

hilbert_freq() (in module braindecode.functional), [1] (in module braindecode.functional.functions) HybridNet (class in braindecode.models) (class in braindecode.models.hybrid)

I

identity() (in module braindecode.augmentation.functional), [1] (in module braindecode.functional), [1] (in module braindecode.functional.functions) IdentityTransform (class in braindecode.augmentation), [1] (class in braindecode.augmentation.base) IFNet (class in braindecode.models), [1] (class in braindecode.models.ifnet) InceptionBlock (class in braindecode.modules), [1] (class in braindecode.modules.blocks) info (braindecode.samplers.base.DistributedRecordingSampler attribute) (braindecode.samplers.base.RecordingSampler attribute) (braindecode.samplers.base.SequenceSampler attribute) (braindecode.samplers.DistributedRecordingSampler attribute), [1] (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) (braindecode.models.EEGModuleMixin property) input_window_seconds (braindecode.models.base.EEGModuleMixin property) (braindecode.models.EEGModuleMixin property) IntermediateOutputWrapper (class in braindecode.modules), [1] (class in braindecode.modules.wrapper)

K

kwargs (braindecode.samplers.base.DistributedRecordingSampler attribute) (braindecode.samplers.DistributedRecordingSampler attribute), [1]

L

Labram (class in braindecode.models), [1] (class in braindecode.models.labram) LinearWithConstraint (class in braindecode.modules), [1] (class in braindecode.modules.linear) load() (braindecode.datasets.bbci.BBCIDataset method) load_bbci_sets_from_folder() (in module braindecode.datasets.bbci) load_concat_dataset() (in module braindecode.datautil), [1] (in module braindecode.datautil.serialization)

load_state_dict() (braindecode.models.base.EEGModuleMixin method) (braindecode.models.EEGModuleMixin method), [1] LogActivation (class in braindecode.modules), [1] (class in braindecode.modules.activation) LogPowerLayer (in module braindecode.modules) LogVarLayer (in module braindecode.modules)

M

mapping (braindecode.models.base.EEGModuleMixin attribute) (braindecode.models.EEGModuleMixin attribute) mask_encoding() (in module braindecode.augmentation.functional), [1] MaskEncoding (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) MaxLayer (in module braindecode.modules) MaxNorm (class in braindecode.modules) (class in braindecode.modules.parametrization) MaxNormConstraintCallback (class in braindecode.training.callbacks) MaxNormLinear (class in braindecode.modules), [1] (class in braindecode.modules.linear) MaxNormParametrize (class in braindecode.modules) (class in braindecode.modules.parametrization) MeanLayer (in module braindecode.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) MLP (class in braindecode.modules), [1] (class in braindecode.modules.blocks) 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.bids braindecode.datasets.mne braindecode.datasets.moabb braindecode.datasets.nmt braindecode.datasets.sleep_physio_challe_18 braindecode.datasets.sleep_physionet braindecode.datasets.tuh braindecode.datasets.xy braindecode.datautil braindecode.datautil.serialization braindecode.datautil.util braindecode.eegneuralnet braindecode.functional braindecode.functional.functions braindecode.functional.initialization braindecode.models braindecode.models.atcnet braindecode.models.attentionbasenet braindecode.models.base braindecode.models.biot braindecode.models.contrawr braindecode.models.ctnet braindecode.models.deep4 braindecode.models.deepsleepnet braindecode.models.eegconformer braindecode.models.eeginception_erp braindecode.models.eeginception_mi braindecode.models.eegitnet braindecode.models.eegminer braindecode.models.eegnet braindecode.models.eegnex braindecode.models.eegresnet braindecode.models.eegsimpleconv braindecode.models.eegtcnet braindecode.models.fbcnet braindecode.models.fblightconvnet braindecode.models.fbmsnet braindecode.models.hybrid braindecode.models.ifnet braindecode.models.labram braindecode.models.msvtnet braindecode.models.sccnet braindecode.models.shallow_fbcsp braindecode.models.signal_jepa braindecode.models.sinc_shallow braindecode.models.sleep_stager_blanco_2020 braindecode.models.sleep_stager_chambon_2018 braindecode.models.sleep_stager_eldele_2021 braindecode.models.sparcnet braindecode.models.syncnet braindecode.models.tcn braindecode.models.tidnet braindecode.models.tsinception braindecode.models.usleep braindecode.models.util braindecode.modules braindecode.modules.activation braindecode.modules.attention braindecode.modules.blocks braindecode.modules.convolution braindecode.modules.filter braindecode.modules.layers braindecode.modules.linear braindecode.modules.parametrization braindecode.modules.stats braindecode.modules.util braindecode.modules.wrapper 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) MSVTNet (class in braindecode.models), [1] (class in braindecode.models.msvtnet) MultiHeadAttention (class in braindecode.modules), [1] (class in braindecode.modules.attention)

N

n_chans (braindecode.models.base.EEGModuleMixin property) (braindecode.models.EEGModuleMixin property) n_jobs (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) n_outputs (braindecode.models.base.EEGModuleMixin property) (braindecode.models.EEGModuleMixin property) n_recordings (braindecode.samplers.base.DistributedRecordingSampler attribute) (braindecode.samplers.base.DistributedRecordingSampler property) (braindecode.samplers.base.RecordingSampler attribute) (braindecode.samplers.base.RecordingSampler property) (braindecode.samplers.DistributedRecordingSampler attribute), [1] (braindecode.samplers.DistributedRecordingSampler property) (braindecode.samplers.RecordingSampler attribute), [1] (braindecode.samplers.RecordingSampler property)

n_times (braindecode.models.base.EEGModuleMixin property) (braindecode.models.EEGModuleMixin property) NMT (class in braindecode.datasets), [1] (class in braindecode.datasets.nmt) np_to_th() (in module braindecode.util) num_features (braindecode.models.TIDNet property) (braindecode.models.tidnet.TIDNet property)

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.Transform 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.MaskEncoding static method), [1] (braindecode.augmentation.Mixup static method), [1] (braindecode.augmentation.SegmentationReconstruction 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.MaskEncoding static method) (braindecode.augmentation.transforms.Mixup static method) (braindecode.augmentation.transforms.SegmentationReconstruction 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)

P

Pick (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess) plot_confusion_matrix() (in module braindecode.visualization), [1] (in module braindecode.visualization.confusion_matrices) plv_time() (in module braindecode.functional), [1] (in module braindecode.functional.functions) 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)

prefixes_ (braindecode.classifier.EEGClassifier attribute), [1] (braindecode.EEGClassifier attribute) (braindecode.EEGRegressor attribute) (braindecode.regressor.EEGRegressor attribute), [1] preload (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) 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.DistributedRelativePositioningSampler method), [1] (braindecode.samplers.RelativePositioningSampler method), [1] (braindecode.samplers.ssl.DistributedRelativePositioningSampler method) (braindecode.samplers.ssl.RelativePositioningSampler method) probability (braindecode.augmentation.base.Transform property) (braindecode.augmentation.Transform property) processings (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute)

R

read_all_file_names() (in module braindecode.util) recordings (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) 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) rescale_parameter() (in module braindecode.functional), [1] (in module braindecode.functional.initialization)

reset_classifier() (braindecode.models.Labram method), [1] (braindecode.models.labram.Labram method) return_feats (braindecode.models.sleep_stager_eldele_2021.SleepStagerEldele2021 attribute) (braindecode.models.SleepStagerEldele2021 attribute) right_inverse() (braindecode.modules.MaxNorm method) (braindecode.modules.parametrization.MaxNorm method) root (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) runs (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute)

S

safe_log() (in module braindecode.functional), [1] (in module braindecode.functional.functions) SafeLog (class in braindecode.modules), [1] (class in braindecode.modules.activation) sample_class() (braindecode.samplers.BalancedSequenceSampler method), [1] (braindecode.samplers.base.BalancedSequenceSampler method) sample_recording() (braindecode.samplers.base.DistributedRecordingSampler method) (braindecode.samplers.base.RecordingSampler method) (braindecode.samplers.DistributedRecordingSampler method), [1] (braindecode.samplers.RecordingSampler method), [1] sample_window() (braindecode.samplers.base.DistributedRecordingSampler method) (braindecode.samplers.base.RecordingSampler method) (braindecode.samplers.DistributedRecordingSampler method), [1] (braindecode.samplers.RecordingSampler method), [1] 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), [1] (in module braindecode.datautil.serialization) SCCNet (class in braindecode.models), [1] (class in braindecode.models.sccnet) segmentation_reconstruction() (in module braindecode.augmentation.functional), [1] SegmentationReconstruction (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) 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) sessions (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) 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_partial_fit_request() (braindecode.classifier.EEGClassifier method), [1] (braindecode.EEGClassifier method) (braindecode.EEGRegressor method) (braindecode.regressor.EEGRegressor method), [1] set_random_seeds() (in module braindecode.util), [1] set_score_request() (braindecode.classifier.EEGClassifier method), [1] (braindecode.EEGClassifier method) (braindecode.EEGRegressor method) (braindecode.regressor.EEGRegressor method), [1] SetEEGReference (class in braindecode.preprocessing), [1] (class in braindecode.preprocessing.mne_preprocess)

sfreq (braindecode.models.base.EEGModuleMixin property) (braindecode.models.EEGModuleMixin property) ShallowFBCSPNet (class in braindecode.models), [1] (class in braindecode.models.shallow_fbcsp) sign_flip() (in module braindecode.augmentation.functional), [1] SignalJEPA (class in braindecode.models), [1] (class in braindecode.models.signal_jepa) SignalJEPA_Contextual (class in braindecode.models), [1] (class in braindecode.models.signal_jepa) SignalJEPA_PostLocal (class in braindecode.models), [1] (class in braindecode.models.signal_jepa) SignalJEPA_PreLocal (class in braindecode.models), [1] (class in braindecode.models.signal_jepa) SignFlip (class in braindecode.augmentation), [1] (class in braindecode.augmentation.transforms) SincShallowNet (class in braindecode.models), [1] (class in braindecode.models.sinc_shallow) SleepPhysionet (class in braindecode.datasets), [1] (class in braindecode.datasets.sleep_physionet) SleepPhysionetChallenge2018 (class in braindecode.datasets), [1] (class in braindecode.datasets.sleep_physio_challe_18) SleepStagerBlanco2020 (class in braindecode.models), [1] (class in braindecode.models.sleep_stager_blanco_2020) SleepStagerChambon2018 (class in braindecode.models), [1] (class in braindecode.models.sleep_stager_chambon_2018) SleepStagerEldele2021 (class in braindecode.models), [1] (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) spaces (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) SPARCNet (class in braindecode.models), [1] (class in braindecode.models.sparcnet) split() (braindecode.datasets.base.BaseConcatDataset method) (braindecode.datasets.BaseConcatDataset method), [1] splits (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) square() (in module braindecode.functional), [1] (in module braindecode.functional.functions) SqueezeAndExcitation (class in braindecode.modules), [1] (class in braindecode.modules.attention) SqueezeFinalOutput (class in braindecode.modules) (class in braindecode.modules.layers) SRM (class in braindecode.modules), [1] (class in braindecode.modules.attention) StatLayer (class in braindecode.modules), [1] (class in braindecode.modules.stats) StdLayer (in module braindecode.modules) subjects (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) suffixes (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) SyncNet (class in braindecode.models), [1] (class in braindecode.models.syncnet)

T

target_transform (braindecode.datasets.base.BaseConcatDataset property) (braindecode.datasets.BaseConcatDataset property) tasks (braindecode.datasets.bids.BIDSDataset attribute) (braindecode.datasets.BIDSDataset attribute) TCN (class in braindecode.models) (class in braindecode.models.tcn) th_to_np() (in module braindecode.util) ThrowAwayIndexLoader (class in braindecode.util) TIDNet (class in braindecode.models), [1] (class in braindecode.models.tidnet) time_reverse() (in module braindecode.augmentation.functional), [1] TimeDistributed (class in braindecode.modules), [1] (class in braindecode.modules.layers) 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), [1]

training (braindecode.augmentation.base.Transform attribute) (braindecode.models.sleep_stager_eldele_2021.SleepStagerEldele2021 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) trial_preds_from_window_preds() (in module braindecode.training), [1] (in module braindecode.training.scoring) TSceptionV1 (class in braindecode.models), [1] (class in braindecode.models.tsinception) 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), [1] (class in braindecode.models.usleep)

V

VarLayer (in module braindecode.modules)

W

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

wrap_reshape_apply_fn() (in module braindecode.util)