Index

_

__init__() (medusa.bci.cvep_spellers.CircularShiftingClassifier method) (medusa.bci.cvep_spellers.CircularShiftingEarlyStopping method) (medusa.bci.cvep_spellers.CVEPModelCircularShifting method) (medusa.bci.cvep_spellers.CVEPSpellerData method) (medusa.bci.cvep_spellers.CVEPSpellerDataset method) (medusa.bci.cvep_spellers.FilterBankPreprocessing method) (medusa.bci.cvep_spellers.LFSR method) (medusa.bci.cvep_spellers.StandardPreprocessing method) (medusa.bci.erp_spellers.CMDModelEEGInception method) (medusa.bci.erp_spellers.CMDModelEEGNet method) (medusa.bci.erp_spellers.CMDModelRLDA method) (medusa.bci.erp_spellers.CSDModelEEGInception method) (medusa.bci.erp_spellers.ERPSpellerData method) (medusa.bci.erp_spellers.ERPSpellerDataset method) (medusa.bci.erp_spellers.ERPSpellerModel method) (medusa.bci.erp_spellers.StandardFeatureExtraction method) (medusa.bci.erp_spellers.StandardPreprocessing method) (medusa.bci.mi_paradigms.CSPFeatureExtraction method) (medusa.bci.mi_paradigms.MIData method) (medusa.bci.mi_paradigms.MIDataset method) (medusa.bci.mi_paradigms.MIModel method) (medusa.bci.mi_paradigms.MIModelCSP method) (medusa.bci.mi_paradigms.MIModelEEGSym method) (medusa.bci.mi_paradigms.StandardFeatureExtraction method) (medusa.bci.mi_paradigms.StandardPreprocessing method) (medusa.bci.nft_paradigms.ConnectivityBasedNFTModel method) (medusa.bci.nft_paradigms.ConnectivityExtraction method) (medusa.bci.nft_paradigms.NeurofeedbackData method) (medusa.bci.nft_paradigms.PowerBasedNFTModel method) (medusa.bci.nft_paradigms.PowerExtraction method) (medusa.bci.nft_paradigms.SignalPreprocessing method) (medusa.components.Algorithm method) (medusa.components.ConsistencyChecker method) (medusa.components.CustomBiosignalData method) (medusa.components.CustomExperimentData method) (medusa.components.Dataset method) (medusa.components.Pipeline method) (medusa.components.PipelineConnector method) (medusa.components.ProcessingClassWrapper method) (medusa.components.ProcessingFuncWrapper method) (medusa.components.ProcessingMethod method) (medusa.components.Recording method) (medusa.components.SettingsTreeItem method) (medusa.components.ThreadWithReturnValue method) (medusa.deep_learning_models.EEGInceptionv1 method) (medusa.deep_learning_models.EEGNet method) (medusa.deep_learning_models.EEGSym method) (medusa.emg.EMG method) (medusa.frequency_filtering.FIRFilter method) (medusa.frequency_filtering.IIRFilter method) (medusa.meeg.meeg.Connecitivity method) (medusa.meeg.meeg.EEG method) (medusa.meeg.meeg.EEGChannelSet method) (medusa.meeg.meeg.MEEGChannel method) (medusa.meeg.meeg.MEG method) (medusa.meeg.meeg.MEGChannelSet method) (medusa.meeg.meeg.UnknownStandardChannel method) (medusa.meeg.meeg_montages.ChannelNotFound method) (medusa.meeg.meeg_montages.UnlocatedChannel method) (medusa.nirs.NIRS method) (medusa.optimization.Grinder method) (medusa.optimization.Optimizer method) (medusa.plots.mi_plots.MIPlots method) (medusa.signal_generators.SignalGenerator method) (medusa.signal_generators.SinusoidalSignalGenerator method) (medusa.spatial_filtering.CCA method) (medusa.spatial_filtering.CSP method) (medusa.spatial_filtering.LaplacianFilter method) (medusa.tensorflow_integration.DeviceNotAvailable method) (medusa.tensorflow_integration.NoCPU method) (medusa.tensorflow_integration.NoGPU method)

A

absolute_band_power() (in module medusa.local_activation.spectral_parameteres) add() (medusa.components.Pipeline method) add_bioimaging() (medusa.components.Recording method) add_biosignal() (medusa.components.Recording method) add_channel() (medusa.meeg.meeg.EEGChannelSet method) add_consistency_rule() (medusa.components.ConsistencyChecker method) add_custom_data() (medusa.components.Recording method) add_experiment_data() (medusa.components.Recording method) add_item() (medusa.components.SettingsTreeItem method)

add_method() (medusa.components.Algorithm method) add_pipeline() (medusa.components.Algorithm method) add_recordings() (medusa.components.Dataset method) adj_pham() (medusa.spatial_filtering.CSP method) aec() (in module medusa.connectivity.amplitude_connectivity) Algorithm (class in medusa.components) apply_lp() (medusa.spatial_filtering.LaplacianFilter method) assortativity() (in module medusa.graph_theory.assortativity) autocorr_circular() (in module medusa.bci.cvep_spellers) autocorr_zeropad() (in module medusa.bci.cvep_spellers)

B

band_power() (medusa.bci.nft_paradigms.PowerExtraction method) betweenness() (in module medusa.graph_theory.betweeenness_centrality) BiosignalData (class in medusa.components) build() (medusa.bci.erp_spellers.CMDModelEEGInception method) (medusa.bci.erp_spellers.CMDModelEEGNet method) (medusa.bci.erp_spellers.CMDModelRLDA method) (medusa.bci.erp_spellers.CSDModelEEGInception method) (medusa.bci.erp_spellers.ERPSpellerModel method) (medusa.bci.mi_paradigms.MIModel method) (medusa.bci.mi_paradigms.MIModelCSP method) (medusa.bci.mi_paradigms.MIModelEEGSym method)

C

calculate_adj_mat() (medusa.bci.nft_paradigms.ConnectivityExtraction method) calculate_feature() (medusa.bci.nft_paradigms.ConnectivityExtraction method) calibration() (medusa.bci.nft_paradigms.ConnectivityBasedNFTModel method) (medusa.bci.nft_paradigms.PowerBasedNFTModel method) canoncorr() (medusa.spatial_filtering.CCA static method) car() (in module medusa.spatial_filtering) cast_biosignal() (medusa.components.Recording method) cast_experiment() (medusa.components.Recording method) categorical_labels() (in module medusa.classification_utils) CCA (class in medusa.spatial_filtering) central_tendency_measure() (in module medusa.local_activation.nonlinear_parameters) change_channel_set() (medusa.meeg.meeg.EEG method) (medusa.meeg.meeg.MEG method) ChannelNotFound check_channels_labels() (medusa.meeg.meeg.EEGChannelSet method) check_consistency() (medusa.components.ConsistencyChecker method) check_cutoff_settings() (medusa.bci.nft_paradigms.ConnectivityBasedNFTModel method) (medusa.bci.nft_paradigms.PowerBasedNFTModel method) check_dimensions() (in module medusa.utils) check_early_stop() (medusa.bci.cvep_spellers.CircularShiftingEarlyStopping method) check_epochs_feasibility() (in module medusa.epoching) check_for_non_control_data() (medusa.bci.erp_spellers.ERPSpellerModel static method) check_gpu_acceleration() (in module medusa.tensorflow_integration) check_if_shifted() (in module medusa.bci.cvep_spellers) check_predict_feasibility() (medusa.bci.cvep_spellers.CVEPModelCircularShifting method) check_predict_feasibility_signal() (medusa.bci.cvep_spellers.CVEPModelCircularShifting method) check_tf_config() (in module medusa.tensorflow_integration) CircularShiftingClassifier (class in medusa.bci.cvep_spellers) CircularShiftingEarlyStopping (class in medusa.bci.cvep_spellers) clustering_coefficient() (in module medusa.graph_theory.clustering_coefficient) CMDModelEEGInception (class in medusa.bci.erp_spellers) CMDModelEEGNet (class in medusa.bci.erp_spellers) CMDModelRLDA (class in medusa.bci.erp_spellers) command_decoding_accuracy() (in module medusa.bci.erp_spellers) command_decoding_accuracy_per_seq() (in module medusa.bci.erp_spellers)

complexity() (in module medusa.graph_theory.complexity) compute_control_state_labels() (medusa.bci.erp_spellers.ERPSpellerData method) compute_dev_epochs() (in module medusa.plots.erp_plots) compute_dist_matrix() (medusa.meeg.meeg.EEGChannelSet method) compute_erp_labels() (medusa.bci.erp_spellers.ERPSpellerData method) compute_nearest_values() (in module medusa.plots.topographic_plots) config_tensorflow() (in module medusa.tensorflow_integration) configure() (medusa.bci.erp_spellers.CMDModelEEGInception method) (medusa.bci.erp_spellers.CMDModelEEGNet method) (medusa.bci.erp_spellers.CMDModelRLDA method) (medusa.bci.erp_spellers.CSDModelEEGInception method) (medusa.bci.erp_spellers.ERPSpellerModel method) (medusa.bci.mi_paradigms.MIModel method) (medusa.bci.mi_paradigms.MIModelCSP method) (medusa.bci.mi_paradigms.MIModelEEGSym method) conn_to() (medusa.components.Pipeline method) Connecitivity (class in medusa.meeg.meeg) ConnectivityBasedNFTModel (class in medusa.bci.nft_paradigms) ConnectivityExtraction (class in medusa.bci.nft_paradigms) ConsistencyChecker (class in medusa.components) control_state_detection_accuracy() (in module medusa.bci.erp_spellers) control_state_detection_accuracy_per_seq() (in module medusa.bci.erp_spellers) count_items() (medusa.components.SettingsTreeItem method) CSDModelEEGInception (class in medusa.bci.erp_spellers) CSP (class in medusa.spatial_filtering) (medusa.bci.mi_paradigms.CSPFeatureExtraction attribute) CSPFeatureExtraction (class in medusa.bci.mi_paradigms) custom_operations_on_recordings() (medusa.bci.cvep_spellers.CVEPSpellerDataset method) (medusa.bci.erp_spellers.ERPSpellerDataset method) (medusa.bci.mi_paradigms.MIDataset method) (medusa.components.Dataset method) CustomBiosignalData (class in medusa.components) CustomExperimentData (class in medusa.components) CVEPModelCircularShifting (class in medusa.bci.cvep_spellers) CVEPSpellerData (class in medusa.bci.cvep_spellers) CVEPSpellerDataset (class in medusa.bci.cvep_spellers)

D

Dataset (class in medusa.components) decode_commands() (in module medusa.bci.erp_spellers) degree() (in module medusa.graph_theory.degree) density() (in module medusa.graph_theory.density)

detect_control_state() (in module medusa.bci.erp_spellers) DeviceNotAvailable display() (medusa.frequency_filtering.FIRFilter method) (medusa.frequency_filtering.IIRFilter method) display_filter() (in module medusa.frequency_filtering)

E

ear_rho() (in module medusa.plots.topographic_plots) EEG (class in medusa.meeg.meeg) EEGChannelSet (class in medusa.meeg.meeg) EEGInceptionv1 (class in medusa.deep_learning_models) EEGNet (class in medusa.deep_learning_models) EEGSym (class in medusa.deep_learning_models) efficiency() (in module medusa.graph_theory.efficiency) eigen_centrality() (in module medusa.graph_theory.eigen_centrality) eigenvalues (medusa.spatial_filtering.CSP attribute)

EMG (class in medusa.emg) ERPSpellerData (class in medusa.bci.erp_spellers) ERPSpellerDataset (class in medusa.bci.erp_spellers) ERPSpellerModel (class in medusa.bci.erp_spellers) exec_pipeline() (medusa.components.Algorithm method) ExperimentData (class in medusa.components) ext_feature() (medusa.bci.nft_paradigms.ConnectivityExtraction method) extract_features() (medusa.plots.mi_plots.MIPlots method) extract_log_var_features() (medusa.bci.mi_paradigms.CSPFeatureExtraction method)

F

factor() (in module medusa.plots.optimal_subplots) FilterBankPreprocessing (class in medusa.bci.cvep_spellers) filters (medusa.spatial_filtering.CSP attribute) FIRFilter (class in medusa.frequency_filtering) fit() (medusa.bci.cvep_spellers.FilterBankPreprocessing method) (medusa.bci.cvep_spellers.StandardPreprocessing method) (medusa.bci.erp_spellers.StandardPreprocessing method) (medusa.bci.mi_paradigms.CSPFeatureExtraction method) (medusa.bci.mi_paradigms.StandardPreprocessing method) (medusa.bci.nft_paradigms.SignalPreprocessing method) (medusa.deep_learning_models.EEGInceptionv1 method) (medusa.deep_learning_models.EEGNet method) (medusa.deep_learning_models.EEGSym method) (medusa.frequency_filtering.FIRFilter method) (medusa.frequency_filtering.IIRFilter method) (medusa.spatial_filtering.CCA method) (medusa.spatial_filtering.CSP method) fit_dataset() (medusa.bci.cvep_spellers.CircularShiftingClassifier method) (medusa.bci.cvep_spellers.CVEPModelCircularShifting method) (medusa.bci.erp_spellers.CMDModelEEGInception method) (medusa.bci.erp_spellers.CMDModelEEGNet method) (medusa.bci.erp_spellers.CMDModelRLDA method) (medusa.bci.erp_spellers.CSDModelEEGInception method) (medusa.bci.erp_spellers.ERPSpellerModel method) (medusa.bci.mi_paradigms.MIModel method) (medusa.bci.mi_paradigms.MIModelCSP method) (medusa.bci.mi_paradigms.MIModelEEGSym method) fit_lp() (medusa.spatial_filtering.LaplacianFilter method) fit_transform() (medusa.frequency_filtering.FIRFilter method) (medusa.frequency_filtering.IIRFilter method) fit_transform_dataset() (medusa.bci.cvep_spellers.FilterBankPreprocessing method) (medusa.bci.cvep_spellers.StandardPreprocessing method) (medusa.bci.erp_spellers.StandardPreprocessing method) (medusa.bci.mi_paradigms.StandardPreprocessing method)

fit_transform_signal() (medusa.bci.cvep_spellers.FilterBankPreprocessing method) (medusa.bci.cvep_spellers.StandardPreprocessing method) (medusa.bci.erp_spellers.StandardPreprocessing method) (medusa.bci.mi_paradigms.StandardPreprocessing method) from_dict() (medusa.components.PipelineConnector static method) (medusa.spatial_filtering.CCA static method) (medusa.spatial_filtering.CSP static method) from_pickleable_obj() (medusa.components.Algorithm class method) (medusa.components.PickleableComponent class method) (medusa.components.ProcessingMethod class method) (medusa.deep_learning_models.EEGInceptionv1 class method) (medusa.deep_learning_models.EEGNet class method) (medusa.deep_learning_models.EEGSym class method) from_serializable_obj() (medusa.bci.cvep_spellers.CVEPSpellerData class method) (medusa.bci.erp_spellers.ERPSpellerData class method) (medusa.bci.mi_paradigms.MIData static method) (medusa.bci.nft_paradigms.NeurofeedbackData class method) (medusa.components.BiosignalData class method) (medusa.components.ConsistencyChecker class method) (medusa.components.CustomBiosignalData class method) (medusa.components.CustomExperimentData class method) (medusa.components.ExperimentData class method) (medusa.components.Recording class method) (medusa.components.SerializableComponent class method) (medusa.components.SettingsTreeItem class method) (medusa.emg.EMG class method) (medusa.meeg.meeg.EEG class method) (medusa.meeg.meeg.EEGChannelSet class method) (medusa.meeg.meeg.MEEGChannel class method) (medusa.meeg.meeg.MEG class method) (medusa.meeg.meeg.MEGChannelSet class method) (medusa.nirs.NIRS class method) from_standard_set() (medusa.meeg.meeg.MEEGChannel class method)

G

general_module() (medusa.deep_learning_models.EEGSym static method) get_batches_associated_to_cmd() (medusa.bci.erp_spellers.ERPSpellerData method) get_best_hyparams() (medusa.optimization.Optimizer method) get_biosignals_with_class_name() (medusa.components.Recording method) get_cartesian_coordinates() (in module medusa.plots.topographic_plots) get_cha_idx_from_labels() (medusa.meeg.meeg.EEGChannelSet method) get_chunk() (medusa.signal_generators.SignalGenerator method) (medusa.signal_generators.SinusoidalSignalGenerator method) get_control_data() (medusa.bci.erp_spellers.ERPSpellerModel static method) get_epochs() (in module medusa.epoching) get_epochs_of_events() (in module medusa.epoching) get_experiments_with_class_name() (medusa.components.Recording method) get_exposed_methods() (medusa.components.ProcessingMethod method)

get_hyparams() (medusa.optimization.Grinder method) get_inst() (medusa.components.Algorithm method) get_items_by_sorted_sequences() (in module medusa.bci.cvep_spellers) get_paradigm_conf_for_hox() (medusa.bci.erp_spellers.ERPSpellerData static method) get_paradigm_conf_for_rcp() (medusa.bci.erp_spellers.ERPSpellerData static method) get_selected_commands_info() (in module medusa.bci.erp_spellers) get_standard_montage() (in module medusa.meeg.meeg_montages) get_tf_device_name() (in module medusa.tensorflow_integration) get_unique_sequences_from_targets() (in module medusa.bci.cvep_spellers) get_weights() (medusa.deep_learning_models.EEGInceptionv1 method) (medusa.deep_learning_models.EEGNet method) (medusa.deep_learning_models.EEGSym method) Grinder (class in medusa.optimization)

H

hilbert() (in module medusa.transforms)

I

iac() (in module medusa.connectivity.amplitude_connectivity) ignore_noisy_windows() (in module medusa.bci.nft_paradigms) IIRFilter (class in medusa.frequency_filtering)

input() (medusa.components.Pipeline method) is_tree() (medusa.components.SettingsTreeItem method) itr() (in module medusa.bci.metrics)

J

join() (medusa.components.ThreadWithReturnValue method)

K

k_fold_split() (in module medusa.classification_utils)

L

LaplacianFilter (class in medusa.spatial_filtering) lempelziv_complexity() (in module medusa.local_activation.nonlinear_parameters) LFSR (class in medusa.bci.cvep_spellers) lfsr() (medusa.bci.cvep_spellers.LFSR static method) load() (medusa.components.PickleableComponent class method) (medusa.components.SerializableComponent class method) load_from_bson() (medusa.components.SerializableComponent class method)

load_from_json() (medusa.components.SerializableComponent class method) load_from_mat() (medusa.components.SerializableComponent class method) load_from_pickle() (medusa.components.SerializableComponent class method) load_meg_signal_from_spm_file() (medusa.meeg.meeg.MEG static method) load_weights() (medusa.deep_learning_models.EEGInceptionv1 method) (medusa.deep_learning_models.EEGNet method) (medusa.deep_learning_models.EEGSym method)

M

make_windows() (in module medusa.bci.nft_paradigms) mean_coupling() (medusa.bci.nft_paradigms.ConnectivityExtraction method) median_frequency() (in module medusa.local_activation.spectral_parameteres) medusa module medusa.artifact_removal module medusa.bci module medusa.bci.cvep_spellers module medusa.bci.erp_spellers module medusa.bci.metrics module medusa.bci.mi_paradigms module medusa.bci.nft_paradigms module medusa.classification_utils module medusa.components module medusa.connectivity module medusa.connectivity.amplitude_connectivity module medusa.connectivity.phase_connectivity module medusa.deep_learning_models module medusa.emg module medusa.epoching module medusa.frequency_filtering module medusa.graph_theory module medusa.graph_theory.assortativity module medusa.graph_theory.betweeenness_centrality module medusa.graph_theory.clustering_coefficient module medusa.graph_theory.complexity module medusa.graph_theory.degree module medusa.graph_theory.density module medusa.graph_theory.efficiency module medusa.graph_theory.eigen_centrality module medusa.graph_theory.modularity module medusa.graph_theory.participation_coefficient module medusa.graph_theory.path_length module medusa.graph_theory.surrogate_graph module medusa.graph_theory.transitivity module medusa.local_activation module medusa.local_activation.nonlinear_parameters module medusa.local_activation.spectral_parameteres module medusa.local_activation.statistics module medusa.meeg module medusa.meeg.meeg module medusa.meeg.meeg_montages module medusa.nirs module medusa.notify_me module medusa.optimization module medusa.pearson_corr_matrix module medusa.performance_analysis module medusa.plots module medusa.plots.erp_plots module

medusa.plots.generic_plots module medusa.plots.mi_plots module medusa.plots.optimal_subplots module medusa.plots.timeplot module medusa.plots.topographic_plots module medusa.signal_generators module medusa.signal_orthogonalization module medusa.spatial_filtering module medusa.tensorflow_integration module medusa.transforms module medusa.utils module MEEGChannel (class in medusa.meeg.meeg) MEG (class in medusa.meeg.meeg) MEGChannelSet (class in medusa.meeg.meeg) MIData (class in medusa.bci.mi_paradigms) MIDataset (class in medusa.bci.mi_paradigms) MIModel (class in medusa.bci.mi_paradigms) MIModelCSP (class in medusa.bci.mi_paradigms) MIModelEEGSym (class in medusa.bci.mi_paradigms) MIPlots (class in medusa.plots.mi_plots) modularity() (in module medusa.graph_theory.modularity) module medusa medusa.artifact_removal medusa.bci medusa.bci.cvep_spellers medusa.bci.erp_spellers medusa.bci.metrics medusa.bci.mi_paradigms medusa.bci.nft_paradigms medusa.classification_utils medusa.components medusa.connectivity medusa.connectivity.amplitude_connectivity medusa.connectivity.phase_connectivity medusa.deep_learning_models medusa.emg medusa.epoching medusa.frequency_filtering medusa.graph_theory medusa.graph_theory.assortativity medusa.graph_theory.betweeenness_centrality medusa.graph_theory.clustering_coefficient medusa.graph_theory.complexity medusa.graph_theory.degree medusa.graph_theory.density medusa.graph_theory.efficiency medusa.graph_theory.eigen_centrality medusa.graph_theory.modularity medusa.graph_theory.participation_coefficient medusa.graph_theory.path_length medusa.graph_theory.surrogate_graph medusa.graph_theory.transitivity medusa.local_activation medusa.local_activation.nonlinear_parameters medusa.local_activation.spectral_parameteres medusa.local_activation.statistics medusa.meeg medusa.meeg.meeg medusa.meeg.meeg_montages medusa.nirs medusa.notify_me medusa.optimization medusa.pearson_corr_matrix medusa.performance_analysis medusa.plots medusa.plots.erp_plots medusa.plots.generic_plots medusa.plots.mi_plots medusa.plots.optimal_subplots medusa.plots.timeplot medusa.plots.topographic_plots medusa.signal_generators medusa.signal_orthogonalization medusa.spatial_filtering medusa.tensorflow_integration medusa.transforms medusa.utils multiscale_entropy() (in module medusa.local_activation.nonlinear_parameters) multiscale_lempelziv_complexity() (in module medusa.local_activation.nonlinear_parameters) must_stop() (medusa.bci.cvep_spellers.CVEPModelCircularShifting method)

N

narrow_transform() (medusa.bci.nft_paradigms.SignalPreprocessing method) NeurofeedbackData (class in medusa.bci.nft_paradigms) NIRS (class in medusa.nirs) NoCPU

NoGPU normalize_epochs() (in module medusa.epoching) normalize_psd() (in module medusa.transforms) notify_me() (in module medusa.notify_me)

O

one_hot_labels() (in module medusa.classification_utils) optimal_subplot_row_col() (in module medusa.plots.optimal_subplots)

optimize() (medusa.optimization.Optimizer method) Optimizer (class in medusa.optimization)

P

participation_coefficient() (in module medusa.graph_theory.participation_coefficient) path_length() (in module medusa.graph_theory.path_length) patterns (medusa.spatial_filtering.CSP attribute) pearson_corr_matrix() (in module medusa.pearson_corr_matrix) perf_analysis() (in module medusa.performance_analysis) phase_connectivity() (in module medusa.connectivity.phase_connectivity) PickleableComponent (class in medusa.components) Pipeline (class in medusa.components) PipelineConnector (class in medusa.components) plot_connectivity() (in module medusa.plots.topographic_plots) plot_erd_ers_freq() (in module medusa.plots.mi_plots) (medusa.plots.mi_plots.MIPlots method) plot_erd_ers_r2_topo() (medusa.plots.mi_plots.MIPlots method) plot_erd_ers_time() (in module medusa.plots.mi_plots) (medusa.plots.mi_plots.MIPlots method) plot_erp() (in module medusa.plots.erp_plots) plot_erp_from_erp_speller_runs() (in module medusa.plots.erp_plots) plot_head() (in module medusa.plots.topographic_plots) plot_r2_topoplot() (in module medusa.plots.mi_plots) plot_spectrogram() (medusa.plots.mi_plots.MIPlots method) plot_topography() (in module medusa.plots.topographic_plots) pol2cart() (in module medusa.plots.topographic_plots) power() (medusa.bci.nft_paradigms.PowerExtraction method) power_spectral_density() (in module medusa.transforms) PowerBasedNFTModel (class in medusa.bci.nft_paradigms)

PowerExtraction (class in medusa.bci.nft_paradigms) predict() (medusa.bci.cvep_spellers.CircularShiftingClassifier method) (medusa.bci.cvep_spellers.CVEPModelCircularShifting method) (medusa.bci.erp_spellers.CMDModelEEGInception method) (medusa.bci.erp_spellers.CMDModelEEGNet method) (medusa.bci.erp_spellers.CMDModelRLDA method) (medusa.bci.erp_spellers.CSDModelEEGInception method) (medusa.bci.erp_spellers.ERPSpellerModel method) (medusa.bci.mi_paradigms.MIModel method) (medusa.bci.mi_paradigms.MIModelCSP method) (medusa.bci.mi_paradigms.MIModelEEGSym method) predict_dataset() (medusa.bci.cvep_spellers.CircularShiftingClassifier method) (medusa.bci.cvep_spellers.CVEPModelCircularShifting method) predict_proba() (medusa.deep_learning_models.EEGInceptionv1 method) (medusa.deep_learning_models.EEGNet method) (medusa.deep_learning_models.EEGSym method) prep_fit_transform() (medusa.bci.nft_paradigms.SignalPreprocessing method) prep_transform() (medusa.bci.nft_paradigms.SignalPreprocessing method) preprocessing_function() (medusa.deep_learning_models.EEGSym method) ProcessingClassWrapper (class in medusa.components) ProcessingFuncWrapper (class in medusa.components) ProcessingMethod (class in medusa.components) project() (medusa.bci.mi_paradigms.CSPFeatureExtraction method) (medusa.spatial_filtering.CCA method) (medusa.spatial_filtering.CSP method)

R

r (medusa.spatial_filtering.CCA attribute) read_montage_file() (in module medusa.meeg.meeg_montages) Recording (class in medusa.components) reject_noisy_epochs() (in module medusa.artifact_removal) (in module medusa.epoching)

relative_band_power() (in module medusa.local_activation.spectral_parameteres) rename_attribute() (medusa.components.Recording method) resample_epochs() (in module medusa.epoching) run() (medusa.components.ThreadWithReturnValue method)

S

sample_entropy() (in module medusa.local_activation.nonlinear_parameters) save() (medusa.components.PickleableComponent method) (medusa.components.SerializableComponent method) save_to_bson() (medusa.components.SerializableComponent method) save_to_json() (medusa.components.SerializableComponent method) save_to_mat() (medusa.components.SerializableComponent method) save_to_pickle() (medusa.components.SerializableComponent method) save_weights() (medusa.deep_learning_models.EEGInceptionv1 method) (medusa.deep_learning_models.EEGNet method) (medusa.deep_learning_models.EEGSym method) SerializableComponent (class in medusa.components) set_baseline() (medusa.bci.nft_paradigms.ConnectivityExtraction method) (medusa.bci.nft_paradigms.PowerExtraction method) set_bayes_opt_params() (medusa.optimization.Optimizer method) set_data() (medusa.components.SettingsTreeItem method) set_ground() (medusa.meeg.meeg.EEGChannelSet method) set_montage() (medusa.meeg.meeg.EEGChannelSet method) set_sizes() (medusa.plots.mi_plots.MIPlots method) set_standard_montage() (medusa.meeg.meeg.EEGChannelSet method) set_weights() (medusa.deep_learning_models.EEGInceptionv1 method) (medusa.deep_learning_models.EEGNet method) (medusa.deep_learning_models.EEGSym method)

SettingsTreeItem (class in medusa.components) shaded_plot() (in module medusa.plots.generic_plots) shannon_spectral_entropy() (in module medusa.local_activation.spectral_parameteres) signal_orthogonalization_cpu() (in module medusa.signal_orthogonalization) signal_orthogonalization_gpu() (in module medusa.signal_orthogonalization) signal_orthogonalization_gpu_old() (in module medusa.signal_orthogonalization) SignalGenerator (class in medusa.signal_generators) SignalPreprocessing (class in medusa.bci.nft_paradigms) signed_r2() (in module medusa.local_activation.statistics) SinusoidalSignalGenerator (class in medusa.signal_generators) sort_nearest_channels() (medusa.meeg.meeg.EEGChannelSet method) split_erp_features() (in module medusa.bci.erp_spellers) StandardFeatureExtraction (class in medusa.bci.erp_spellers) (class in medusa.bci.mi_paradigms) StandardPreprocessing (class in medusa.bci.cvep_spellers) (class in medusa.bci.erp_spellers) (class in medusa.bci.mi_paradigms) subset() (medusa.meeg.meeg.EEGChannelSet method) surrogate_graph() (in module medusa.graph_theory.surrogate_graph) switch_coordinates_system() (in module medusa.meeg.meeg_montages) symmetric_channels() (medusa.deep_learning_models.EEGSym method)

T

ThreadWithReturnValue (class in medusa.components) time_plot() (in module medusa.plots.timeplot) time_to_sample_index_events() (in module medusa.epoching) to_dict() (medusa.components.PipelineConnector method) (medusa.spatial_filtering.CCA method) (medusa.spatial_filtering.CSP method) to_pickleable_obj() (medusa.components.Algorithm method) (medusa.components.PickleableComponent method) (medusa.components.ProcessingClassWrapper method) (medusa.components.ProcessingMethod method) (medusa.deep_learning_models.EEGInceptionv1 method) (medusa.deep_learning_models.EEGNet method) (medusa.deep_learning_models.EEGSym method) to_serializable_obj() (medusa.bci.cvep_spellers.CVEPSpellerData method) (medusa.bci.erp_spellers.ERPSpellerData method) (medusa.bci.mi_paradigms.MIData method) (medusa.bci.nft_paradigms.NeurofeedbackData method) (medusa.components.BiosignalData method) (medusa.components.ConsistencyChecker method) (medusa.components.CustomBiosignalData method) (medusa.components.CustomExperimentData method) (medusa.components.ExperimentData method) (medusa.components.Recording method) (medusa.components.SerializableComponent method) (medusa.components.SettingsTreeItem method) (medusa.emg.EMG method) (medusa.meeg.meeg.EEG method) (medusa.meeg.meeg.EEGChannelSet method) (medusa.meeg.meeg.MEEGChannel method) (medusa.meeg.meeg.MEG method) (medusa.meeg.meeg.MEGChannelSet method) (medusa.nirs.NIRS method)

training() (medusa.bci.nft_paradigms.ConnectivityBasedNFTModel method) (medusa.bci.nft_paradigms.PowerBasedNFTModel method) transform() (medusa.frequency_filtering.FIRFilter method) (medusa.frequency_filtering.IIRFilter method) transform_data() (medusa.deep_learning_models.EEGInceptionv1 static method) (medusa.deep_learning_models.EEGNet static method) (medusa.deep_learning_models.EEGSym static method) transform_dataset() (medusa.bci.cvep_spellers.FilterBankPreprocessing method) (medusa.bci.cvep_spellers.StandardPreprocessing method) (medusa.bci.erp_spellers.StandardFeatureExtraction method) (medusa.bci.mi_paradigms.CSPFeatureExtraction method) (medusa.bci.mi_paradigms.StandardFeatureExtraction method) transform_signal() (medusa.bci.cvep_spellers.FilterBankPreprocessing method) (medusa.bci.cvep_spellers.StandardPreprocessing method) (medusa.bci.erp_spellers.StandardFeatureExtraction method) (medusa.bci.erp_spellers.StandardPreprocessing method) (medusa.bci.mi_paradigms.StandardFeatureExtraction method) (medusa.bci.mi_paradigms.StandardPreprocessing method) transitivity() (in module medusa.graph_theory.transitivity) trial_iterator() (medusa.deep_learning_models.EEGSym method)

U

UnknownStandardChannel

UnlocatedChannel

W

wx (medusa.spatial_filtering.CCA attribute)

wy (medusa.spatial_filtering.CCA attribute)