braindecode.models.ShallowFBCSPNet
braindecode.models.Deep4Net
braindecode.models.SleepStagerChambon2018
braindecode.models.SleepStagerEldele2021
braindecode.models.USleep
braindecode.models.get_output_shape
braindecode.models.TimeDistributed
braindecode.training.CroppedLoss
braindecode.training.TimeSeriesLoss
braindecode.training.CroppedTrialEpochScoring
braindecode.training.CroppedTimeSeriesEpochScoring
braindecode.datasets.BaseDataset
braindecode.datasets.BaseConcatDataset
braindecode.datasets.MOABBDataset
braindecode.datasets.TUH
braindecode.datasets.TUHAbnormal
braindecode.datasets.SleepPhysionet
braindecode.datasets.BCICompetitionIVDataset4
braindecode.datasets.create_from_X_y
braindecode.datasets.create_from_mne_raw
braindecode.datasets.create_from_mne_epochs
braindecode.preprocessing.create_windows_from_events
braindecode.preprocessing.create_fixed_length_windows
braindecode.preprocessing.create_windows_from_target_channels
braindecode.preprocessing.exponential_moving_standardize
braindecode.preprocessing.scale
braindecode.preprocessing.preprocess
braindecode.preprocessing.Preprocessor
braindecode.datautil.load_concat_dataset
braindecode.samplers.RecordingSampler
braindecode.samplers.SequenceSampler
braindecode.samplers.RelativePositioningSampler
braindecode.augmentation.Transform
braindecode.augmentation.Compose
braindecode.augmentation.AugmentedDataLoader
braindecode.augmentation.SignFlip
braindecode.augmentation.FrequencyShift
braindecode.util.set_random_seeds
braindecode.visualization.plot_confusion_matrix
Split Dataset Example¶
Load and save dataset example¶
MNE Dataset Example¶
Custom Dataset Example¶
Multiple discrete targets with the TUH EEG Corpus¶
Benchmarking preprocessing with parallelization and serialization¶
MOABB Dataset Example¶
Regression example on fake data¶
Process a big data EEG resource (TUH EEG Corpus)¶
Sleep staging on the Sleep Physionet dataset using U-Sleep network¶
Data Augmentation on BCIC IV 2a Dataset¶
Sleep staging on the Sleep Physionet dataset using Eldele2021¶
Sleep staging on the Sleep Physionet dataset using Chambon2018 network¶
Trialwise Decoding on BCIC IV 2a Dataset¶
Cropped Decoding on BCIC IV 2a Dataset¶
Fingers flexion decoding on BCIC IV 4 ECoG Dataset¶
Benchmarking eager and lazy loading¶
Fingers flexion cropped decoding on BCIC IV 4 ECoG Dataset¶
Self-supervised learning on EEG with relative positioning¶
Gallery generated by Sphinx-Gallery