MEDUSA© Kernel
1.3.0
Contents:
medusa package
MEDUSA© Kernel
»
Index
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
W
_
__init__() (medusa.artifact_removal.ICA method)
(medusa.artifact_removal.ICAData method)
(medusa.bci.cvep_spellers.BWRFeatureExtraction method)
(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.CVEPSpellerModel 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.head_plots.ConnectivityPlot method)
(medusa.plots.head_plots.TopographicPlot 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)
(medusa.tensorflow_integration.TFExtrasNotInstalled 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)
aec() (in module medusa.connectivity.amplitude_connectivity)
Algorithm (class in medusa.components)
apply_lp() (medusa.spatial_filtering.LaplacianFilter method)
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.cvep_spellers.CMDModelBWREEGInception method)
(medusa.bci.cvep_spellers.CMDModelBWRLDA method)
(medusa.bci.cvep_spellers.CVEPSpellerModel 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)
BWRFeatureExtraction (class in medusa.bci.cvep_spellers)
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.BWRFeatureExtraction method)
(medusa.bci.cvep_spellers.CMDModelBWREEGInception method)
(medusa.bci.cvep_spellers.CMDModelBWRLDA method)
(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)
clear() (medusa.plots.head_plots.ConnectivityPlot method)
(medusa.plots.head_plots.TopographicPlot method)
clustering_coefficient() (in module medusa.graph_theory.clustering_coefficient)
CMDModelBWREEGInception (class in medusa.bci.cvep_spellers)
CMDModelBWRLDA (class in medusa.bci.cvep_spellers)
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_cycle() (in module medusa.bci.cvep_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)
config_tensorflow() (in module medusa.tensorflow_integration)
configure() (medusa.bci.cvep_spellers.CMDModelBWREEGInception method)
(medusa.bci.cvep_spellers.CMDModelBWRLDA method)
(medusa.bci.cvep_spellers.CVEPSpellerModel 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)
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)
ConnectivityPlot (class in medusa.plots.head_plots)
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)
CVEPSpellerModel (class in medusa.bci.cvep_spellers)
D
Dataset (class in medusa.components)
decode_commands() (in module medusa.bci.erp_spellers)
decode_commands_from_events() (in module medusa.bci.cvep_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
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)
,
[1]
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)
F
factor() (in module medusa.plots.optimal_subplots)
FilterBankPreprocessing (class in medusa.bci.cvep_spellers)
filters (medusa.spatial_filtering.CSP attribute)
,
[1]
FIRFilter (class in medusa.frequency_filtering)
fit() (medusa.artifact_removal.ICA method)
(medusa.bci.cvep_spellers.FilterBankPreprocessing method)
(medusa.bci.cvep_spellers.StandardPreprocessing method)
(medusa.bci.erp_spellers.StandardPreprocessing 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.CMDModelBWREEGInception method)
(medusa.bci.cvep_spellers.CMDModelBWRLDA method)
(medusa.bci.cvep_spellers.CVEPModelCircularShifting method)
(medusa.bci.cvep_spellers.CVEPSpellerModel 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.CSPFeatureExtraction 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_signal() (medusa.bci.mi_paradigms.CSPFeatureExtraction 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.CSPFeatureExtraction 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.CSPFeatureExtraction 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.artifact_removal.ICAData class method)
(medusa.bci.cvep_spellers.CVEPSpellerData class method)
(medusa.bci.erp_spellers.ERPSpellerData class method)
(medusa.bci.mi_paradigms.MIData class 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)
generate_bit_wise_onsets() (medusa.bci.cvep_spellers.BWRFeatureExtraction 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_cha_idx_from_labels() (medusa.meeg.meeg.EEGChannelSet method)
get_chunk() (medusa.signal_generators.SignalGenerator method)
(medusa.signal_generators.SinusoidalSignalGenerator method)
get_components() (medusa.artifact_removal.ICA 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_nearest_idx() (in module medusa.epoching)
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_sources() (medusa.artifact_removal.ICA method)
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)
ICA (class in medusa.artifact_removal)
ICAData (class in medusa.artifact_removal)
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.artifact_removal.ICA method)
(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.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.performance_analysis
module
medusa.plots
module
medusa.plots.erp_plots
module
medusa.plots.generic_plots
module
medusa.plots.head_plots
module
medusa.plots.mi_plots
module
medusa.plots.optimal_subplots
module
medusa.plots.timeplot
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.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.performance_analysis
medusa.plots
medusa.plots.erp_plots
medusa.plots.generic_plots
medusa.plots.head_plots
medusa.plots.mi_plots
medusa.plots.optimal_subplots
medusa.plots.timeplot
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)
,
[1]
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() (medusa.spatial_filtering.CSP method)
plot_components() (medusa.artifact_removal.ICA method)
plot_connectivity() (in module medusa.plots.head_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.head_plots)
plot_r2_topoplot() (in module medusa.plots.mi_plots)
plot_sources() (medusa.artifact_removal.ICA method)
plot_spectrogram() (medusa.plots.mi_plots.MIPlots method)
plot_summary() (medusa.artifact_removal.ICA method)
plot_topography() (in module medusa.plots.head_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.CMDModelBWREEGInception method)
(medusa.bci.cvep_spellers.CMDModelBWRLDA method)
(medusa.bci.cvep_spellers.CVEPModelCircularShifting method)
(medusa.bci.cvep_spellers.CVEPSpellerModel 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.CMDModelBWREEGInception method)
(medusa.bci.cvep_spellers.CMDModelBWRLDA method)
(medusa.bci.cvep_spellers.CVEPModelCircularShifting method)
(medusa.bci.cvep_spellers.CVEPSpellerModel method)
(medusa.bci.mi_paradigms.MIModelCSP 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.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)
rebuild() (medusa.artifact_removal.ICA method)
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.artifact_removal.ICA method)
(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)
sel_eigenvalues (medusa.spatial_filtering.CSP attribute)
sel_filters (medusa.spatial_filtering.CSP attribute)
sel_idxs (medusa.spatial_filtering.CSP attribute)
sel_patterns (medusa.spatial_filtering.CSP attribute)
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_dataset() (medusa.plots.mi_plots.MIPlots 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)
show_exclusion() (medusa.artifact_removal.ICA method)
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
TFExtrasNotInstalled
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.artifact_removal.ICAData method)
(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)
TopographicPlot (class in medusa.plots.head_plots)
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.BWRFeatureExtraction method)
(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)
(medusa.bci.mi_paradigms.StandardPreprocessing method)
transform_signal() (medusa.bci.cvep_spellers.BWRFeatureExtraction method)
(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.CSPFeatureExtraction 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
update() (medusa.plots.head_plots.ConnectivityPlot method)
(medusa.plots.head_plots.TopographicPlot method)
W
wx (medusa.spatial_filtering.CCA attribute)
wy (medusa.spatial_filtering.CCA attribute)