Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | Z _ __init__() (spectralbrain.BrainMesh method) (spectralbrain.BrainPointCloud method) (spectralbrain.SpectralDecomposition method) A accuracy (spectralbrain.statistics.analysis.ClassificationResult attribute) accuracy_std (spectralbrain.statistics.analysis.ClassificationResult attribute) advance_inner() (spectralbrain.runtime.NestedProgress method) advance_outer() (spectralbrain.runtime.NestedProgress method) AGD (spectralbrain.runtime.DescriptorType attribute) aggregate_by_parcellation() (in module spectralbrain.io.loaders) aggregate_to_networks() (in module spectralbrain.spectral.distances) agreement_with_input (spectralbrain.statistics.clustering.BayesianClusterConfirmation attribute), [1] align_to_pca() (in module spectralbrain.core.base) alpha (spectralbrain.statistics.analysis.VertexWiseResult attribute) AMYGDALA_NUCLEI (spectralbrain.runtime.AtlasScheme attribute) AnalysisObjective (class in spectralbrain.runtime) anisotropic_laplacian() (in module spectralbrain) (in module spectralbrain.spectral.anisotropic) apply_parcellation() (in module spectralbrain) (in module spectralbrain.io.loaders) argsort() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) array() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) ASEG (spectralbrain.runtime.AtlasScheme attribute) ASMWD (spectralbrain.runtime.DescriptorType attribute) asymmetry_test() (in module spectralbrain.statistics.analysis) atlas (spectralbrain.viz.brainplots.BrainPlotSpec attribute) AtlasScheme (class in spectralbrain.runtime) auc (spectralbrain.statistics.analysis.ClassificationResult attribute) auc_comparison_delong() (in module spectralbrain.statistics.normative) auc_new (spectralbrain.statistics.normative.MethodComparisonResult attribute) auc_p_value (spectralbrain.statistics.normative.MethodComparisonResult attribute) auc_reference (spectralbrain.statistics.normative.MethodComparisonResult attribute) auc_std (spectralbrain.statistics.analysis.ClassificationResult attribute) auto_cluster() (in module spectralbrain.statistics.clustering) available_gb (spectralbrain.backends.cpu.MemoryInfo attribute), [1] B BackendName (class in spectralbrain.runtime) bag_of_spectral_words() (in module spectralbrain.statistics.analysis) batch_effect_scan() (in module spectralbrain.statistics.eda) batch_iterator() (in module spectralbrain.backends.cpu) BATES_SP (spectralbrain.runtime.DescriptorType attribute) BayesianClusterConfirmation (class in spectralbrain.statistics.clustering) BayesianConnectome (class in spectralbrain.statistics.bayesian) BayesianGroupComparison (class in spectralbrain.statistics.bayesian) BayesianModel (class in spectralbrain.statistics.bayesian) BayesianSpatialModel (class in spectralbrain.statistics.bayesian) BIHARMONIC (spectralbrain.runtime.DescriptorType attribute) biharmonic_distance() (in module spectralbrain) (in module spectralbrain.spectral.distances) BKS (spectralbrain.runtime.DescriptorType attribute) BlackjaxSampler (class in spectralbrain.backends.gpu) blob() (spectralbrain.statistics.surrogates.SyntheticPointCloud method) blob_labels (spectralbrain.statistics.clustering.ScaleSpaceBlobResult attribute), [1] blob_trajectories (spectralbrain.statistics.clustering.ScaleSpaceBlobResult attribute), [1] bootstrap_ci() (in module spectralbrain.statistics.surrogates) bootstrap_paired_difference() (in module spectralbrain.statistics.surrogates) boundary_vertices() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) brain_mask_path (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] brain_path (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] BrainMesh (class in spectralbrain) (class in spectralbrain.core.meshes) BRAINNETOME (spectralbrain.runtime.AtlasScheme attribute) BrainPlotSpec (class in spectralbrain.viz.brainplots) BrainPointCloud (class in spectralbrain) (class in spectralbrain.core.pointclouds) build_descriptor_distance() (in module spectralbrain.statistics.clustering) build_geometric_connectome() (in module spectralbrain) (in module spectralbrain.spectral.distances) build_hks_affinity_graph() (in module spectralbrain.statistics.clustering) build_hybrid_distance() (in module spectralbrain.statistics.clustering) C CASORATI (spectralbrain.runtime.DescriptorType attribute) casorati_curvature() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) center_points() (in module spectralbrain.core.base) centile_curves() (in module spectralbrain.statistics.normative) centroids (spectralbrain.statistics.clustering.TemporalClusterResult attribute), [1] chains (spectralbrain.backends.cpu.SamplerConfig attribute) chamfer_distance() (in module spectralbrain.core.base) ci_lower (spectralbrain.statistics.normative.NonInferiorityResult attribute) ci_upper (spectralbrain.statistics.normative.NonInferiorityResult attribute) ClassificationResult (class in spectralbrain.statistics.analysis) classify() (in module spectralbrain.statistics.analysis) clean() (in module spectralbrain.io.preprocess) (spectralbrain.runtime.ContainerManager method) clip() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) cluster() (spectralbrain.BrainPointCloud method) (spectralbrain.core.pointclouds.BrainPointCloud method) cluster_comparison() (in module spectralbrain.statistics.clustering) cluster_credible_intervals (spectralbrain.statistics.clustering.BayesianClusterConfirmation attribute), [1] cluster_dpmm() (in module spectralbrain.statistics.clustering) cluster_gnmf() (in module spectralbrain.statistics.clustering) cluster_hdbscan() (in module spectralbrain.statistics.clustering) cluster_joint_spectral() (in module spectralbrain.statistics.clustering) cluster_leiden() (in module spectralbrain.statistics.clustering) cluster_mapper() (in module spectralbrain.statistics.clustering) cluster_multiview() (in module spectralbrain.statistics.clustering) cluster_persistence() (in module spectralbrain.statistics.clustering) cluster_quality() (in module spectralbrain.statistics.clustering) cluster_scalespace_blobs() (in module spectralbrain.statistics.clustering) cluster_sizes (spectralbrain.statistics.clustering.ClusterResult property) cluster_spatiotemporal_gnmf() (in module spectralbrain.statistics.clustering) cluster_spatiotemporal_stdbscan() (in module spectralbrain.statistics.clustering) cluster_spectral_coclustering() (in module spectralbrain.statistics.clustering) cluster_temporal_dtw() (in module spectralbrain.statistics.clustering) cluster_temporal_fpca() (in module spectralbrain.statistics.clustering) cluster_tensor_decomposition() (in module spectralbrain.statistics.clustering) cluster_vineyards() (in module spectralbrain.statistics.clustering) cluster_wavelet_coefficients() (in module spectralbrain.statistics.clustering) ClusterResult (class in spectralbrain.statistics.clustering) cmap (spectralbrain.viz.brainplots.BrainPlotSpec attribute) cohens_d_map() (in module spectralbrain.statistics.analysis) collect_subjects() (in module spectralbrain.utils.helpers) COMMUTE_TIME (spectralbrain.runtime.DescriptorType attribute) commute_time_distance() (in module spectralbrain) (in module spectralbrain.spectral.distances) compare_methods() (in module spectralbrain.statistics.normative) compute_adjacency_from_knn() (in module spectralbrain.core.base) compute_all_descriptors() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) compute_anisotropic_hks() (in module spectralbrain.spectral.anisotropic) compute_anisotropic_wks() (in module spectralbrain.spectral.anisotropic) compute_asmwd() (in module spectralbrain.spectral.anisotropic) compute_bates_signatures() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) compute_bks() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) compute_bounding_box() (in module spectralbrain.core.base) compute_centroid() (in module spectralbrain.core.base) compute_dwks() (in module spectralbrain.spectral.collections) compute_dwks_collection() (in module spectralbrain.spectral.collections) compute_functional_map() (in module spectralbrain) (in module spectralbrain.spectral.collections) compute_gps() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) compute_hks() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) compute_ibks() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) compute_icc() (in module spectralbrain.statistics.eda) compute_laplacian() (spectralbrain.BrainMesh method) (spectralbrain.BrainPointCloud method) (spectralbrain.core.meshes.BrainMesh method) (spectralbrain.core.pointclouds.BrainPointCloud method) compute_normals() (spectralbrain.BrainMesh method) (spectralbrain.BrainPointCloud method) (spectralbrain.core.base.GeometricObject method) (spectralbrain.core.meshes.BrainMesh method) (spectralbrain.core.pointclouds.BrainPointCloud method) compute_pca_axes() (in module spectralbrain.core.base) compute_shapedna() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) compute_si_hks() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) compute_wks() (in module spectralbrain) (in module spectralbrain.spectral.descriptors) concatenate() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) confirm_clusters_bayesian() (in module spectralbrain.statistics.clustering) confusion_matrix (spectralbrain.statistics.analysis.ClassificationResult attribute) ConnectomeMatrix (in module spectralbrain.runtime) ContainerManager (class in spectralbrain.runtime) ContainerSpec (class in spectralbrain.runtime) convex_hull_area() (in module spectralbrain.core.base) convex_hull_volume() (in module spectralbrain.core.base) coordinates (spectralbrain.BrainMesh property) (spectralbrain.BrainPointCloud property) (spectralbrain.core.base.GeometricObject property) (spectralbrain.core.meshes.BrainMesh property) (spectralbrain.core.pointclouds.BrainPointCloud property) cores (spectralbrain.backends.cpu.SamplerConfig attribute) correction (spectralbrain.statistics.analysis.VertexWiseResult attribute) covariate() (spectralbrain.io.group.GroupData method) cumulative_energy (spectralbrain.statistics.eda.OptimalKResult attribute) CUPY (spectralbrain.runtime.BackendName attribute) CupyBackend (class in spectralbrain.backends.gpu) curvedness() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) D data (spectralbrain.io.group.GroupData attribute), [1] (spectralbrain.viz.brainplots.BrainPlotSpec attribute) data_harmonized (spectralbrain.statistics.normative.HarmonizationResult attribute), [1] decompose() (spectralbrain.BrainMesh method) (spectralbrain.BrainPointCloud method) (spectralbrain.core.base.GeometricObject method) (spectralbrain.core.meshes.BrainMesh method) (spectralbrain.core.pointclouds.BrainPointCloud method) denoise() (spectralbrain.BrainPointCloud method) (spectralbrain.core.pointclouds.BrainPointCloud method) denoise_joint_timevertex() (in module spectralbrain.statistics.clustering) DENSITIES (in module spectralbrain.viz.hipp) descriptor_correlation() (in module spectralbrain.statistics.eda) descriptor_distance() (in module spectralbrain) (in module spectralbrain.spectral.distances) descriptor_profile() (in module spectralbrain.statistics.eda) DescriptorMatrix (in module spectralbrain.runtime) DescriptorRecommendation (class in spectralbrain.statistics.eda) DescriptorType (class in spectralbrain.runtime) DESIKAN_LOBE_MAP (in module spectralbrain.io.loaders) DESTRIEUX (spectralbrain.runtime.AtlasScheme attribute) detect_density_outliers() (in module spectralbrain.core.base) detect_format() (in module spectralbrain.io.loaders) deviation() (spectralbrain.statistics.bayesian.GaussianProcessNormative method) device_id (spectralbrain.backends.gpu.VRAMInfo attribute), [1] device_name (spectralbrain.backends.gpu.VRAMInfo attribute), [1] diagrams (spectralbrain.statistics.clustering.VineyardResult attribute), [1] difference (spectralbrain.statistics.normative.NonInferiorityResult attribute) DIFFUSION (spectralbrain.runtime.DescriptorType attribute) diffusion_distance() (in module spectralbrain) (in module spectralbrain.spectral.distances) diffusion_distance_multiscale() (in module spectralbrain.spectral.distances) discover_bids() (in module spectralbrain.io.group) discover_freesurfer() (in module spectralbrain.io.group) discover_nifti() (in module spectralbrain.io.gpu_preprocess) discover_tractseg_bundles() (in module spectralbrain.io.tractseg) discover_tractseg_subjects() (in module spectralbrain.io.tractseg) DistanceMatrix (in module spectralbrain.runtime) distplot() (in module spectralbrain.viz.graphics) DKT (spectralbrain.runtime.AtlasScheme attribute) draws (spectralbrain.backends.cpu.SamplerConfig attribute) DWKS (spectralbrain.runtime.DescriptorType attribute) E ECCENTRICITY (spectralbrain.runtime.DescriptorType attribute) ECT (spectralbrain.runtime.DescriptorType attribute) edge_difference_matrix() (spectralbrain.statistics.bayesian.BayesianConnectome method) edge_difference_posterior() (spectralbrain.statistics.bayesian.BayesianConnectome method) edge_lengths() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) effect_size (spectralbrain.statistics.analysis.VertexWiseResult attribute) effect_size_new (spectralbrain.statistics.normative.MethodComparisonResult attribute) effect_size_posterior() (spectralbrain.statistics.bayesian.BayesianGroupComparison method) effect_size_reference (spectralbrain.statistics.normative.MethodComparisonResult attribute) eigenvalue_stability() (in module spectralbrain.statistics.eda) Eigenvalues (in module spectralbrain.runtime) eigenvalues (spectralbrain.core.base.SpectralDecomposition attribute) (spectralbrain.SpectralDecomposition attribute) (spectralbrain.statistics.eda.OptimalKResult attribute) eigenvalues_nonneg (spectralbrain.statistics.eda.SpectralQCReport attribute) Eigenvectors (in module spectralbrain.runtime) eigenvectors (spectralbrain.core.base.SpectralDecomposition attribute) (spectralbrain.SpectralDecomposition attribute) eigsh() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) ellipsoid() (spectralbrain.statistics.surrogates.SyntheticMesh method) (spectralbrain.statistics.surrogates.SyntheticPointCloud method) emd_distance() (in module spectralbrain.statistics.analysis) energy_distance() (in module spectralbrain.statistics.analysis) ENHANCE (spectralbrain.io.gpu_preprocess.Step attribute) enhance() (in module spectralbrain.io.gpu_preprocess) enhance_bmex() (in module spectralbrain.io.gpu_preprocess) enhance_deepn4() (in module spectralbrain.io.gpu_preprocess) enhanced_path (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] ensure() (spectralbrain.runtime.ContainerManager method) ensure_dir() (in module spectralbrain.utils.helpers) ensure_template() (in module spectralbrain.io.gpu_preprocess) entities (spectralbrain.io.group.GroupData attribute), [1] entrypoint (spectralbrain.runtime.ContainerSpec attribute) equivalence (spectralbrain.statistics.normative.MethodComparisonResult attribute) equivalence_test_tost() (in module spectralbrain.statistics.normative) estimate_array_memory() (in module spectralbrain.backends.cpu) estimate_point_density() (in module spectralbrain.core.base) estimates (spectralbrain.statistics.normative.HarmonizationResult attribute), [1] euler_characteristic() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) example_point_cloud() (in module spectralbrain.utils.datasets) example_sphere() (in module spectralbrain.utils.datasets) exp() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) extra_kwargs (spectralbrain.viz.brainplots.BrainPlotSpec attribute) extract_submesh() (in module spectralbrain.io.loaders) extreme_count() (spectralbrain.statistics.normative.NormativeModel method) extreme_value_map() (in module spectralbrain.statistics.normative) eye() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) F Faces (in module spectralbrain.runtime) faces (spectralbrain.io.group.GroupData attribute), [1] farthest_point_sampling() (in module spectralbrain.core.base) feature_importance (spectralbrain.statistics.analysis.ClassificationResult attribute) feature_importance() (spectralbrain.statistics.bayesian.HorseshoeRegression method) fetch_fsaverage() (in module spectralbrain.utils.datasets) fiedler_value (spectralbrain.core.base.SpectralDecomposition property) (spectralbrain.SpectralDecomposition property) (spectralbrain.statistics.eda.SpectralQCReport attribute) figure() (in module spectralbrain.viz.graphics) file_hash() (in module spectralbrain.utils.helpers) find2() (in module spectralbrain.statistics.clustering) find_files() (in module spectralbrain.utils.helpers) FINSLER_HKS (spectralbrain.runtime.DescriptorType attribute) fisher_vector() (in module spectralbrain.statistics.analysis) fit() (spectralbrain.statistics.bayesian.BayesianConnectome method) (spectralbrain.statistics.bayesian.BayesianGroupComparison method) (spectralbrain.statistics.bayesian.BayesianModel method) (spectralbrain.statistics.bayesian.BayesianSpatialModel method) (spectralbrain.statistics.bayesian.HierarchicalLinearModel method) (spectralbrain.statistics.normative.NormativeModel method) fit_gmm_codebook() (in module spectralbrain.statistics.analysis) format_array_summary() (in module spectralbrain.utils.helpers) FRACTAL_DIM (spectralbrain.runtime.DescriptorType attribute) free_gb (spectralbrain.backends.gpu.VRAMInfo attribute), [1] FREESURFER_ANNOT (spectralbrain.runtime.GeometryFormat attribute) FREESURFER_LABEL (spectralbrain.runtime.GeometryFormat attribute) FREESURFER_MORPH (spectralbrain.runtime.GeometryFormat attribute) FREESURFER_SURFACE (spectralbrain.runtime.GeometryFormat attribute) from_atlas_volume() (spectralbrain.BrainPointCloud class method) (spectralbrain.core.pointclouds.BrainPointCloud class method) from_descriptor() (spectralbrain.viz.brainplots.BrainPlotSpec class method) from_freesurfer_seg() (spectralbrain.BrainPointCloud class method) (spectralbrain.core.pointclouds.BrainPointCloud class method) from_raw() (spectralbrain.BrainPointCloud class method) (spectralbrain.core.pointclouds.BrainPointCloud class method) from_reference() (spectralbrain.statistics.surrogates.SyntheticPointCloud method) from_surface() (spectralbrain.BrainPointCloud class method) (spectralbrain.core.pointclouds.BrainPointCloud class method) from_tract_mask() (spectralbrain.BrainPointCloud class method) (spectralbrain.core.pointclouds.BrainPointCloud class method) from_tractography() (spectralbrain.BrainPointCloud class method) (spectralbrain.core.pointclouds.BrainPointCloud class method) from_volume() (spectralbrain.BrainPointCloud class method) (spectralbrain.core.pointclouds.BrainPointCloud class method) fuse_concatenate() (in module spectralbrain.statistics.clustering) fuse_joint_nmf() (in module spectralbrain.statistics.clustering) fuse_multi_kernel() (in module spectralbrain.statistics.clustering) fused (spectralbrain.statistics.clustering.FusionResult attribute), [1] FusionResult (class in spectralbrain.statistics.clustering) G gaussian_curvature() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) GaussianProcessNormative (class in spectralbrain.statistics.bayesian) gc_collect() (in module spectralbrain.backends.cpu) generate() (spectralbrain.statistics.surrogates.SyntheticDescriptors method) generate_global() (spectralbrain.statistics.surrogates.SyntheticDescriptors method) genus() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) geodesic_distance() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) GeometricObject (class in spectralbrain.core.base) GeometryFormat (class in spectralbrain.runtime) get_bayesian_sampler() (in module spectralbrain.backends.cpu) get_gpu_backend() (in module spectralbrain.backends.gpu) get_gpu_bayesian_sampler() (in module spectralbrain.backends.gpu) get_label_id() (in module spectralbrain.utils.atlas) get_label_name() (in module spectralbrain.utils.atlas) get_logger() (in module spectralbrain.runtime) get_reproducibility_info() (in module spectralbrain.utils.helpers) get_structure_ids() (in module spectralbrain.utils.atlas) GIFTI_FUNC (spectralbrain.runtime.GeometryFormat attribute) GIFTI_LABEL (spectralbrain.runtime.GeometryFormat attribute) GIFTI_SURFACE (spectralbrain.runtime.GeometryFormat attribute) GLASSER_MMP (spectralbrain.runtime.AtlasScheme attribute) GlobalDescriptor (in module spectralbrain.runtime) GPS (spectralbrain.runtime.DescriptorType attribute) gpu_required (spectralbrain.runtime.ContainerSpec attribute) group_comparison() (in module spectralbrain.io.group) GROUP_DISCRIMINATION (spectralbrain.runtime.AnalysisObjective attribute) GroupData (class in spectralbrain.io.group) H HarmonizationResult (class in spectralbrain.statistics.normative) harmonize() (in module spectralbrain.statistics.normative) harmonize_combat() (in module spectralbrain.statistics.normative) harmonize_combat_gam() (in module spectralbrain.statistics.normative) hausdorff_distance() (in module spectralbrain.core.base) HDF5 (spectralbrain.runtime.GeometryFormat attribute) heat_kernel() (in module spectralbrain.spectral.wavelets) hedges_g_map() (in module spectralbrain.statistics.analysis) HierarchicalLinearModel (class in spectralbrain.statistics.bayesian) HIPP_LABELS (in module spectralbrain.viz.hipp) HIPP_VIEWS_3D (in module spectralbrain.viz.hipp) HIPP_VIEWS_FULL (in module spectralbrain.viz.hipp) HIPPOCAMPAL_SUBFIELDS (spectralbrain.runtime.AtlasScheme attribute) HKS (spectralbrain.runtime.DescriptorType attribute) HorseshoeRegression (class in spectralbrain.statistics.bayesian) I IBKS (spectralbrain.runtime.DescriptorType attribute) input_path (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] INTEGRAL_INVARIANT (spectralbrain.runtime.DescriptorType attribute) intra_inter_ratio() (in module spectralbrain.statistics.analysis) is_cached() (spectralbrain.runtime.ContainerManager method) is_closed() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) is_equivalent (spectralbrain.statistics.normative.NonInferiorityResult attribute) is_non_inferior (spectralbrain.statistics.normative.NonInferiorityResult attribute) is_stacked (spectralbrain.io.group.GroupData property) J JAX (spectralbrain.runtime.BackendName attribute) JaxBackend (class in spectralbrain.backends.gpu) jit() (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) js_divergence() (in module spectralbrain.statistics.analysis) JULICH_BRAIN (spectralbrain.runtime.AtlasScheme attribute) K k (spectralbrain.core.base.SpectralDecomposition property) (spectralbrain.SpectralDecomposition property) k_elbow (spectralbrain.statistics.eda.OptimalKResult attribute) k_energy_95 (spectralbrain.statistics.eda.OptimalKResult attribute) k_energy_99 (spectralbrain.statistics.eda.OptimalKResult attribute) k_gap (spectralbrain.statistics.eda.OptimalKResult attribute) k_recommended (spectralbrain.statistics.eda.OptimalKResult attribute) kd_tree (spectralbrain.BrainPointCloud property) (spectralbrain.core.pointclouds.BrainPointCloud property) kernel_mean_embedding() (in module spectralbrain.statistics.analysis) kl_divergence() (in module spectralbrain.statistics.analysis) knn_search() (in module spectralbrain.core.base) L label (spectralbrain.viz.brainplots.BrainPlotSpec attribute) label_probabilities (spectralbrain.statistics.clustering.BayesianClusterConfirmation attribute), [1] LabelArray (in module spectralbrain.runtime) labels (spectralbrain.statistics.clustering.ClusterResult attribute), [1] (spectralbrain.statistics.clustering.TemporalClusterResult attribute), [1] (spectralbrain.statistics.clustering.TensorDecompositionResult attribute), [1] labels_to_pointcloud() (in module spectralbrain.io.loaders) lambda_0 (spectralbrain.statistics.eda.SpectralQCReport attribute) lambda_0_ok (spectralbrain.statistics.eda.SpectralQCReport attribute) lap() (spectralbrain.utils.helpers.Timer method) laplacian_row_sum_max (spectralbrain.statistics.eda.SpectralQCReport attribute) laplacian_row_sum_ok (spectralbrain.statistics.eda.SpectralQCReport attribute) laplacian_smooth() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) lateralisation_index() (in module spectralbrain.statistics.analysis) LATERALIZATION (spectralbrain.runtime.AnalysisObjective attribute) linspace() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) list_labels() (in module spectralbrain.utils.atlas) load() (in module spectralbrain) (in module spectralbrain.io.loaders) (spectralbrain.core.base.SpectralDecomposition class method) (spectralbrain.SpectralDecomposition class method) load_freesurfer_annot() (in module spectralbrain.io.loaders) load_freesurfer_morph() (in module spectralbrain.io.loaders) load_freesurfer_surface() (in module spectralbrain) (in module spectralbrain.io.loaders) load_gifti_func() (in module spectralbrain.io.loaders) load_gifti_label() (in module spectralbrain.io.loaders) load_gifti_surface() (in module spectralbrain) (in module spectralbrain.io.loaders) load_group() (in module spectralbrain) (in module spectralbrain.io.group) load_group_freesurfer() (in module spectralbrain.io.group) load_hdf5() (in module spectralbrain.io.export) load_mesh() (in module spectralbrain.io.loaders) load_nifti() (in module spectralbrain) (in module spectralbrain.io.loaders) load_trace() (spectralbrain.statistics.bayesian.BayesianModel class method) load_tractseg() (in module spectralbrain.io.tractseg) load_tractseg_bundle() (in module spectralbrain.io.tractseg) local_curvature() (spectralbrain.BrainPointCloud method) (spectralbrain.core.pointclouds.BrainPointCloud method) log() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) logspace() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) LONGITUDINAL_CHANGE (spectralbrain.runtime.AnalysisObjective attribute) loo (spectralbrain.statistics.clustering.BayesianClusterConfirmation attribute), [1] M make_connectome_example() (in module spectralbrain.utils.datasets) make_laterality_example() (in module spectralbrain.utils.datasets) make_normative_example() (in module spectralbrain.utils.datasets) make_two_group_example() (in module spectralbrain.utils.datasets) mantel_test() (in module spectralbrain.statistics.analysis) MapperResult (class in spectralbrain.statistics.clustering) marching_cubes() (in module spectralbrain.core.base) margin (spectralbrain.statistics.normative.NonInferiorityResult attribute) mass (spectralbrain.core.base.SpectralDecomposition attribute) (spectralbrain.SpectralDecomposition attribute) MassMatrix (in module spectralbrain.runtime) matmul() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) max_negative_eigenvalue (spectralbrain.statistics.eda.SpectralQCReport attribute) mean() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) mean_curvature() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) memory_guard() (in module spectralbrain.backends.cpu) MemoryInfo (class in spectralbrain.backends.cpu) mesh_surface_area() (in module spectralbrain.core.base) metadata (spectralbrain.core.base.SpectralDecomposition attribute) (spectralbrain.io.group.GroupData attribute), [1] (spectralbrain.SpectralDecomposition attribute) (spectralbrain.statistics.clustering.BayesianClusterConfirmation attribute), [1] (spectralbrain.statistics.clustering.ClusterResult attribute), [1] (spectralbrain.statistics.clustering.FusionResult attribute), [1] (spectralbrain.statistics.clustering.MapperResult attribute), [1] (spectralbrain.statistics.clustering.ScaleSpaceBlobResult attribute), [1] (spectralbrain.statistics.clustering.TemporalClusterResult attribute) (spectralbrain.statistics.clustering.TensorDecompositionResult attribute), [1] (spectralbrain.statistics.clustering.VineyardResult attribute), [1] method (spectralbrain.statistics.clustering.ClusterResult attribute), [1] (spectralbrain.statistics.clustering.FusionResult attribute), [1] (spectralbrain.statistics.clustering.TemporalClusterResult attribute), [1] (spectralbrain.statistics.normative.HarmonizationResult attribute), [1] method_new (spectralbrain.statistics.normative.MethodComparisonResult attribute) method_reference (spectralbrain.statistics.normative.MethodComparisonResult attribute) MethodComparisonResult (class in spectralbrain.statistics.normative) methods (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] metric_new (spectralbrain.statistics.normative.NonInferiorityResult attribute) metric_reference (spectralbrain.statistics.normative.NonInferiorityResult attribute) mexican_hat_kernel() (in module spectralbrain.spectral.wavelets) meyer_kernel() (in module spectralbrain.spectral.wavelets) MGZ_VOLUME (spectralbrain.runtime.GeometryFormat attribute) model_ (spectralbrain.statistics.bayesian.BayesianModel attribute) model_name (spectralbrain.statistics.analysis.ClassificationResult attribute) modularity() (in module spectralbrain.statistics.analysis) module spectralbrain.backends spectralbrain.backends.cpu spectralbrain.backends.gpu spectralbrain.core spectralbrain.core.base spectralbrain.core.meshes spectralbrain.core.pointclouds spectralbrain.io spectralbrain.io.export spectralbrain.io.gpu_preprocess spectralbrain.io.group spectralbrain.io.loaders spectralbrain.io.preprocess spectralbrain.io.tractseg spectralbrain.runtime spectralbrain.spectral spectralbrain.spectral.anisotropic spectralbrain.spectral.collections spectralbrain.spectral.descriptors spectralbrain.spectral.distances spectralbrain.spectral.wavelets spectralbrain.statistics spectralbrain.statistics.analysis spectralbrain.statistics.bayesian spectralbrain.statistics.clustering spectralbrain.statistics.eda spectralbrain.statistics.normative spectralbrain.statistics.surrogates spectralbrain.utils spectralbrain.utils.atlas spectralbrain.utils.datasets spectralbrain.utils.helpers spectralbrain.viz spectralbrain.viz.bayes spectralbrain.viz.brainplots spectralbrain.viz.clusters spectralbrain.viz.geometry spectralbrain.viz.geometry.meshes spectralbrain.viz.geometry.points spectralbrain.viz.graphics spectralbrain.viz.hipp spectralbrain.viz.hipp3d multi_cluster() (spectralbrain.statistics.surrogates.SyntheticPointCloud method) N n_blobs (spectralbrain.statistics.clustering.ScaleSpaceBlobResult attribute), [1] n_clusters (spectralbrain.statistics.clustering.ClusterResult attribute), [1] (spectralbrain.statistics.clustering.TemporalClusterResult attribute), [1] n_components (spectralbrain.statistics.clustering.TensorDecompositionResult attribute), [1] n_edges (spectralbrain.statistics.clustering.MapperResult attribute), [1] n_eigenvalues (spectralbrain.core.base.SpectralDecomposition property) (spectralbrain.SpectralDecomposition property) (spectralbrain.statistics.eda.SpectralQCReport attribute) n_faces (spectralbrain.BrainMesh property) (spectralbrain.core.meshes.BrainMesh property) n_negative_eigenvalues (spectralbrain.statistics.eda.SpectralQCReport attribute) n_nodes (spectralbrain.statistics.clustering.MapperResult attribute), [1] n_points (spectralbrain.BrainMesh property) (spectralbrain.BrainPointCloud property) (spectralbrain.core.base.GeometricObject property) (spectralbrain.core.meshes.BrainMesh property) (spectralbrain.core.pointclouds.BrainPointCloud property) n_significant (spectralbrain.statistics.analysis.VertexWiseResult property) n_sites (spectralbrain.statistics.normative.HarmonizationResult attribute), [1] n_subjects (spectralbrain.io.group.GroupData property) n_vertices (spectralbrain.BrainMesh property) (spectralbrain.core.base.SpectralDecomposition property) (spectralbrain.core.meshes.BrainMesh property) (spectralbrain.SpectralDecomposition property) (spectralbrain.statistics.eda.SpectralQCReport attribute) name (spectralbrain.backends.cpu.NumpyBackend attribute) (spectralbrain.backends.cpu.NutpieSampler attribute) (spectralbrain.backends.cpu.PyMCSampler attribute) (spectralbrain.backends.gpu.BlackjaxSampler attribute) (spectralbrain.backends.gpu.CupyBackend attribute) (spectralbrain.backends.gpu.JaxBackend attribute) (spectralbrain.backends.gpu.NumPyroSampler attribute) (spectralbrain.backends.gpu.TorchBackend attribute) (spectralbrain.runtime.ContainerSpec attribute) nan_color (spectralbrain.viz.brainplots.BrainPlotSpec attribute) natural_scales (spectralbrain.statistics.clustering.ScaleSpaceBlobResult attribute), [1] near_degenerate_pairs (spectralbrain.statistics.eda.SpectralQCReport attribute) nerve_graph (spectralbrain.statistics.clustering.MapperResult attribute), [1] NestedProgress (class in spectralbrain.runtime) NetworkMatrix (in module spectralbrain.runtime) NIFTI_VOLUME (spectralbrain.runtime.GeometryFormat attribute) node_membership (spectralbrain.statistics.clustering.MapperResult attribute), [1] noise_count (spectralbrain.statistics.clustering.ClusterResult property) non_inferiority (spectralbrain.statistics.normative.MethodComparisonResult attribute) non_inferiority_test() (in module spectralbrain.statistics.normative) NonInferiorityResult (class in spectralbrain.statistics.normative) norm() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) normalize_eigenvalues() (spectralbrain.core.base.SpectralDecomposition method) (spectralbrain.SpectralDecomposition method) normalize_scale() (in module spectralbrain.core.base) Normals (in module spectralbrain.runtime) NormativeModel (class in spectralbrain.statistics.normative) null_edge_rewiring() (in module spectralbrain.statistics.surrogates) null_eigenvalue_permutation() (in module spectralbrain.statistics.surrogates) null_parametric() (in module spectralbrain.statistics.surrogates) null_phase_randomisation() (in module spectralbrain.statistics.surrogates) null_spin_permutation() (in module spectralbrain.statistics.surrogates) null_subject_permutation() (in module spectralbrain.statistics.surrogates) NUMPY (spectralbrain.runtime.BackendName attribute) (spectralbrain.runtime.GeometryFormat attribute) NumpyBackend (class in spectralbrain.backends.cpu) NumPyroSampler (class in spectralbrain.backends.gpu) NutpieSampler (class in spectralbrain.backends.cpu) O OBJ (spectralbrain.runtime.GeometryFormat attribute) objective (spectralbrain.statistics.eda.DescriptorRecommendation attribute), [1] ones() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) optimal_k() (in module spectralbrain.statistics.eda) OptimalKResult (class in spectralbrain.statistics.eda) orthonormality_error (spectralbrain.statistics.eda.SpectralQCReport attribute) orthonormality_ok (spectralbrain.statistics.eda.SpectralQCReport attribute) P p_corrected (spectralbrain.statistics.analysis.VertexWiseResult attribute) p_value (spectralbrain.statistics.normative.NonInferiorityResult attribute) p_values (spectralbrain.statistics.analysis.VertexWiseResult attribute) parallel_batch() (in module spectralbrain.backends.cpu) parallel_map() (in module spectralbrain.backends.cpu) PARCELLATE (spectralbrain.io.gpu_preprocess.Step attribute) parcellate() (in module spectralbrain) (in module spectralbrain.io) parcellate_brainparc() (in module spectralbrain.io.gpu_preprocess) parcellate_openmap() (in module spectralbrain.io.gpu_preprocess) parcellation_path (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] parse_bids_filename() (in module spectralbrain.utils.helpers) participation_coefficient() (in module spectralbrain.statistics.analysis) passed (spectralbrain.statistics.eda.SpectralQCReport attribute) PathLike (in module spectralbrain.runtime) paths (spectralbrain.io.group.GroupData attribute), [1] percent_used (spectralbrain.backends.cpu.MemoryInfo attribute), [1] (spectralbrain.backends.gpu.VRAMInfo attribute), [1] PHT (spectralbrain.runtime.DescriptorType attribute) plot_agreement_heatmap() (in module spectralbrain.viz.clusters) plot_bayesian_confirmation() (in module spectralbrain.viz.clusters) plot_best_posterior() (in module spectralbrain.viz.bayes) plot_bilateral_comparison() (in module spectralbrain.viz.brainplots) plot_brain() (in module spectralbrain.viz.brainplots) plot_brain_subcortical() (in module spectralbrain.viz.brainplots) plot_brain_tracts() (in module spectralbrain.viz.brainplots) plot_cluster_boundaries() (in module spectralbrain.viz.clusters) plot_cluster_exploded() (in module spectralbrain.viz.clusters) plot_cluster_map() (in module spectralbrain.viz.clusters) plot_cluster_profiles() (in module spectralbrain.viz.clusters) plot_cluster_scatter() (in module spectralbrain.viz.clusters) plot_cluster_sizes() (in module spectralbrain.viz.clusters) plot_cluster_summary() (in module spectralbrain.viz.clusters) plot_clustering_map() (in module spectralbrain.viz.brainplots) plot_clusters() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.points) plot_coclustering_heatmap() (in module spectralbrain.viz.clusters) plot_connectome_matrix() (in module spectralbrain.viz.graphics) plot_connectome_posterior() (in module spectralbrain.viz.bayes) plot_curvature() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.meshes) plot_descriptor_evolution_comparison() (in module spectralbrain.viz.clusters) plot_effect_size_distribution() (in module spectralbrain.viz.graphics) plot_embedding() (in module spectralbrain.viz.graphics) plot_forest() (in module spectralbrain.viz.bayes) plot_fusion_panel() (in module spectralbrain.viz.clusters) plot_gnmf_components() (in module spectralbrain.viz.clusters) plot_gnmf_temporal_factors() (in module spectralbrain.viz.clusters) plot_gp_trajectory() (in module spectralbrain.viz.bayes) plot_group_comparison() (in module spectralbrain.viz.brainplots) plot_hippocampus() (in module spectralbrain.viz.hipp) plot_hippocampus_bilateral() (in module spectralbrain.viz.hipp) plot_hippocampus_comparison() (in module spectralbrain.viz.hipp) plot_hippocampus_gallery() (in module spectralbrain.viz.hipp) plot_hippocampus_hovmoller() (in module spectralbrain.viz.hipp) plot_hippocampus_normative() (in module spectralbrain.viz.hipp) plot_hippocampus_sixview() (in module spectralbrain.viz.hipp3d) plot_hippocampus_spatiotemporal() (in module spectralbrain.viz.hipp) plot_hks_cluster_progression() (in module spectralbrain.viz.clusters) plot_horseshoe_coefficients() (in module spectralbrain.viz.bayes) plot_hovmoller() (in module spectralbrain.viz.clusters) plot_kind (spectralbrain.viz.brainplots.BrainPlotSpec attribute) plot_kymograph() (in module spectralbrain.viz.clusters) plot_laterality() (in module spectralbrain.viz.graphics) plot_mesh() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.meshes) plot_mesh_comparison() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.meshes) plot_mesh_pyvista() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.meshes) plot_method_comparison_3d() (in module spectralbrain.viz.clusters) plot_mls_reconstruction() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.points) plot_morphometric_gallery() (in module spectralbrain.viz.brainplots) plot_multi_descriptor_panel() (in module spectralbrain.viz.brainplots) plot_multi_view() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.meshes) plot_normative_map() (in module spectralbrain.viz.brainplots) plot_persistence_diagram() (in module spectralbrain.viz.clusters) plot_point_cloud() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.points) plot_point_cloud_o3d() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.points) plot_point_cloud_panel() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.points) plot_posterior() (in module spectralbrain.viz.bayes) plot_prior_posterior() (in module spectralbrain.viz.bayes) plot_pvalue_histogram() (in module spectralbrain.viz.graphics) plot_quality_comparison() (in module spectralbrain.viz.clusters) plot_rdm() (in module spectralbrain.viz.graphics) plot_ridgeline() (in module spectralbrain.viz.bayes) plot_roc_curve() (in module spectralbrain.viz.graphics) plot_rope_decision() (in module spectralbrain.viz.bayes) plot_scalar_difference() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.meshes) plot_silhouette_diagram() (in module spectralbrain.viz.clusters) plot_site_effects() (in module spectralbrain.viz.bayes) plot_soft_membership() (in module spectralbrain.viz.clusters) plot_spatiotemporal_animation() (in module spectralbrain.viz.clusters) plot_spatiotemporal_field() (in module spectralbrain.viz.clusters) plot_spectral_progression() (in module spectralbrain.viz.brainplots) plot_surface_sixview() (in module spectralbrain.viz.hipp3d) plot_top10_morphometrics() (in module spectralbrain.viz.brainplots) plot_volcano() (in module spectralbrain.viz.graphics) plot_voronoi() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.points) plot_warp() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.points) plot_warped_surface() (in module spectralbrain.viz.clusters) plot_wireframe() (in module spectralbrain.viz.geometry) (in module spectralbrain.viz.geometry.meshes) PLY (spectralbrain.runtime.GeometryFormat attribute) Points (in module spectralbrain.runtime) posterior_labels (spectralbrain.statistics.clustering.BayesianClusterConfirmation attribute), [1] predict() (spectralbrain.statistics.bayesian.BayesianConnectome method) (spectralbrain.statistics.bayesian.BayesianGroupComparison method) (spectralbrain.statistics.bayesian.BayesianModel method) (spectralbrain.statistics.bayesian.GaussianProcessNormative method) preprocess_gpu() (in module spectralbrain.io.gpu_preprocess) preprocess_gpu_batch() (in module spectralbrain.io.gpu_preprocess) PreprocessResult (class in spectralbrain.io.gpu_preprocess) principal_curvatures() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) print_dict() (in module spectralbrain.utils.helpers) probabilities (spectralbrain.statistics.clustering.ClusterResult attribute), [1] procrustes_align() (in module spectralbrain.core.base) progress_parallel() (in module spectralbrain.runtime) progress_simple() (in module spectralbrain.runtime) progress_spinner() (in module spectralbrain.runtime) purge_vram() (in module spectralbrain.io.gpu_preprocess) PyMCSampler (class in spectralbrain.backends.cpu) Q quality (spectralbrain.statistics.clustering.ClusterResult attribute), [1] (spectralbrain.statistics.clustering.TemporalClusterResult attribute), [1] quality_report() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) R radius_search() (in module spectralbrain.core.base) ram_status() (in module spectralbrain.backends.cpu) random_seed (spectralbrain.backends.cpu.SamplerConfig attribute) ranking (spectralbrain.statistics.eda.DescriptorRecommendation attribute), [1] raw_to_pointcloud() (in module spectralbrain.io.preprocess) rdm() (in module spectralbrain.statistics.analysis) recommend_descriptor() (in module spectralbrain.statistics.eda) recommended (spectralbrain.statistics.eda.DescriptorRecommendation attribute), [1] recommended_k (spectralbrain.statistics.eda.SpectralQCReport attribute) reconstruction_error (spectralbrain.statistics.clustering.TensorDecompositionResult attribute), [1] REGISTER (spectralbrain.io.gpu_preprocess.Step attribute) register() (in module spectralbrain.io.gpu_preprocess) register_synthmorph_affine() (in module spectralbrain.io.gpu_preprocess) register_unigradicon() (in module spectralbrain.io.gpu_preprocess) registered_paths (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] remap_parcellation() (in module spectralbrain.io.loaders) report() (spectralbrain.utils.helpers.Timer method) resample_to_template() (in module spectralbrain.io.group) rope_probability() (spectralbrain.statistics.bayesian.BayesianGroupComparison method) rsa_compare() (in module spectralbrain.statistics.analysis) run() (spectralbrain.runtime.ContainerManager method) run_fastsurfer() (in module spectralbrain.io.preprocess) runtime_available (spectralbrain.runtime.ContainerManager property) runtime_name (spectralbrain.runtime.ContainerManager property) S salient_features (spectralbrain.statistics.clustering.VineyardResult attribute), [1] sample() (spectralbrain.backends.cpu.NutpieSampler method) (spectralbrain.backends.cpu.PyMCSampler method) (spectralbrain.backends.gpu.BlackjaxSampler method) (spectralbrain.backends.gpu.NumPyroSampler method) SamplerConfig (class in spectralbrain.backends.cpu) save() (spectralbrain.core.base.SpectralDecomposition method) (spectralbrain.SpectralDecomposition method) (spectralbrain.statistics.bayesian.BayesianModel method) (spectralbrain.statistics.normative.NormativeModel method) save_connectome() (in module spectralbrain.io.export) save_gifti_func() (in module spectralbrain.io.export) save_hdf5() (in module spectralbrain.io.export) save_mesh() (in module spectralbrain.io.export) save_npz() (in module spectralbrain.io.export) savefig() (in module spectralbrain.viz.graphics) ScalarMap (in module spectralbrain.runtime) scale_of_emergence (spectralbrain.statistics.clustering.VineyardResult attribute), [1] ScaleSpaceBlobResult (class in spectralbrain.statistics.clustering) SCHAEFER_100 (spectralbrain.runtime.AtlasScheme attribute) SCHAEFER_1000 (spectralbrain.runtime.AtlasScheme attribute) SCHAEFER_200 (spectralbrain.runtime.AtlasScheme attribute) SCHAEFER_400 (spectralbrain.runtime.AtlasScheme attribute) SCHAEFER_600 (spectralbrain.runtime.AtlasScheme attribute) SCHAEFER_800 (spectralbrain.runtime.AtlasScheme attribute) SCHAEFER_NETWORK_MAP (in module spectralbrain.io.loaders) schaefer_to_yeo() (in module spectralbrain.utils.atlas) score() (spectralbrain.statistics.bayesian.BayesianModel method) (spectralbrain.statistics.normative.NormativeModel method) score_batch() (spectralbrain.statistics.normative.NormativeModel method) SDF (spectralbrain.runtime.DescriptorType attribute) seed_everything() (in module spectralbrain.utils.helpers) SEGMENT (spectralbrain.io.gpu_preprocess.Step attribute) segment() (in module spectralbrain.io.gpu_preprocess) (in module spectralbrain.io.preprocess) segment_fastsurfer() (in module spectralbrain.io.gpu_preprocess) segment_synthseg() (in module spectralbrain.io.gpu_preprocess) segmentation_path (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] set_log_level() (in module spectralbrain.runtime) set_style() (in module spectralbrain.viz.graphics) sgw_descriptor() (in module spectralbrain) (in module spectralbrain.spectral.wavelets) SGW_HEAT (spectralbrain.runtime.DescriptorType attribute) SGW_MEXICAN_HAT (spectralbrain.runtime.DescriptorType attribute) sgw_transform() (in module spectralbrain) (in module spectralbrain.spectral.wavelets) sha256 (spectralbrain.runtime.ContainerSpec attribute) shape_difference_operator() (in module spectralbrain) (in module spectralbrain.spectral.collections) shape_dna (spectralbrain.core.base.SpectralDecomposition property) (spectralbrain.SpectralDecomposition property) shape_dna_normalized (spectralbrain.core.base.SpectralDecomposition property) (spectralbrain.SpectralDecomposition property) SHAPE_INDEX (spectralbrain.runtime.DescriptorType attribute) shape_index() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) SHAPEDNA (spectralbrain.runtime.DescriptorType attribute) shapedna_distance() (in module spectralbrain) (in module spectralbrain.spectral.distances) shrink_array() (in module spectralbrain.backends.cpu) SI_HKS (spectralbrain.runtime.DescriptorType attribute) sif_filename (spectralbrain.runtime.ContainerSpec attribute) significant (spectralbrain.statistics.analysis.VertexWiseResult attribute) site_counts (spectralbrain.statistics.normative.HarmonizationResult attribute), [1] site_effects() (spectralbrain.statistics.bayesian.HierarchicalLinearModel method) sites (spectralbrain.statistics.normative.HarmonizationResult attribute), [1] SIXVIEWS (in module spectralbrain.viz.hipp3d) size_mb (spectralbrain.runtime.ContainerSpec attribute) SKULL_STRIP (spectralbrain.io.gpu_preprocess.Step attribute) skull_strip() (in module spectralbrain.io.gpu_preprocess) (in module spectralbrain.io.preprocess) skull_strip_hdbet() (in module spectralbrain.io.gpu_preprocess) skull_strip_synthstrip() (in module spectralbrain.io.gpu_preprocess) source_url (spectralbrain.runtime.ContainerSpec attribute) sparse_matrix() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.TorchBackend method) SparseMatrix (in module spectralbrain.runtime) spatial_factors (spectralbrain.statistics.clustering.TensorDecompositionResult attribute), [1] spectral_gap (spectralbrain.core.base.SpectralDecomposition property) (spectralbrain.SpectralDecomposition property) (spectralbrain.statistics.eda.SpectralQCReport attribute) spectral_mds() (in module spectralbrain.statistics.analysis) spectral_pca() (in module spectralbrain.statistics.analysis) spectral_qc() (in module spectralbrain.statistics.eda) spectral_umap() (in module spectralbrain.statistics.analysis) spectralbrain.backends module spectralbrain.backends.cpu module spectralbrain.backends.gpu module spectralbrain.core module spectralbrain.core.base module spectralbrain.core.meshes module spectralbrain.core.pointclouds module spectralbrain.io module spectralbrain.io.export module spectralbrain.io.gpu_preprocess module spectralbrain.io.group module spectralbrain.io.loaders module spectralbrain.io.preprocess module spectralbrain.io.tractseg module spectralbrain.runtime module spectralbrain.spectral module spectralbrain.spectral.anisotropic module spectralbrain.spectral.collections module spectralbrain.spectral.descriptors module spectralbrain.spectral.distances module spectralbrain.spectral.wavelets module spectralbrain.statistics module spectralbrain.statistics.analysis module spectralbrain.statistics.bayesian module spectralbrain.statistics.clustering module spectralbrain.statistics.eda module spectralbrain.statistics.normative module spectralbrain.statistics.surrogates module spectralbrain.utils module spectralbrain.utils.atlas module spectralbrain.utils.datasets module spectralbrain.utils.helpers module spectralbrain.viz module spectralbrain.viz.bayes module spectralbrain.viz.brainplots module spectralbrain.viz.clusters module spectralbrain.viz.geometry module spectralbrain.viz.geometry.meshes module spectralbrain.viz.geometry.points module spectralbrain.viz.graphics module spectralbrain.viz.hipp module spectralbrain.viz.hipp3d module SpectralDecomposition (class in spectralbrain) (class in spectralbrain.core.base) SpectralQCReport (class in spectralbrain.statistics.eda) sphere() (spectralbrain.statistics.surrogates.SyntheticMesh method) (spectralbrain.statistics.surrogates.SyntheticPointCloud method) split() (spectralbrain.io.group.GroupData method) sqrt() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) stack() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) start() (spectralbrain.utils.helpers.Timer method) statistic (spectralbrain.statistics.analysis.VertexWiseResult attribute) status() (in module spectralbrain.io.preprocess) (spectralbrain.runtime.ContainerManager method) Step (class in spectralbrain.io.gpu_preprocess) stiffness (spectralbrain.core.base.SpectralDecomposition attribute) (spectralbrain.SpectralDecomposition attribute) STL (spectralbrain.runtime.GeometryFormat attribute) subject_factors (spectralbrain.statistics.clustering.TensorDecompositionResult attribute), [1] subject_ids (spectralbrain.io.group.GroupData attribute), [1] SUBREGION_DETECTION (spectralbrain.runtime.AnalysisObjective attribute) subsample() (spectralbrain.BrainPointCloud method) (spectralbrain.core.pointclouds.BrainPointCloud method) sum() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) summary() (spectralbrain.io.gpu_preprocess.PreprocessResult method) (spectralbrain.statistics.bayesian.BayesianModel method) surface_area (spectralbrain.core.base.SpectralDecomposition attribute) (spectralbrain.SpectralDecomposition attribute) surface_area() (spectralbrain.BrainMesh method) (spectralbrain.BrainPointCloud method) (spectralbrain.core.base.GeometricObject method) (spectralbrain.core.meshes.BrainMesh method) (spectralbrain.core.pointclouds.BrainPointCloud method) SurfaceImage (in module spectralbrain.runtime) surprise_map() (in module spectralbrain.statistics.analysis) surprise_map_percentile() (in module spectralbrain.statistics.analysis) surrogate_details (spectralbrain.statistics.eda.DescriptorRecommendation attribute), [1] SyntheticDescriptors (class in spectralbrain.statistics.surrogates) SyntheticMesh (class in spectralbrain.statistics.surrogates) SyntheticPointCloud (class in spectralbrain.statistics.surrogates) T target_accept (spectralbrain.backends.cpu.SamplerConfig attribute) taubin_smooth() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) template_path (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] temporal_factors (spectralbrain.statistics.clustering.TensorDecompositionResult attribute), [1] TemporalClusterResult (class in spectralbrain.statistics.clustering) TensorDecompositionResult (class in spectralbrain.statistics.clustering) test_type (spectralbrain.statistics.normative.NonInferiorityResult attribute) tfce() (in module spectralbrain.statistics.analysis) THALAMIC_NUCLEI (spectralbrain.runtime.AtlasScheme attribute) TIAN_S1 (spectralbrain.runtime.AtlasScheme attribute) TIAN_S2 (spectralbrain.runtime.AtlasScheme attribute) TIAN_S3 (spectralbrain.runtime.AtlasScheme attribute) TIAN_S4 (spectralbrain.runtime.AtlasScheme attribute) Timer (class in spectralbrain.utils.helpers) timer() (in module spectralbrain.utils.helpers) timings (spectralbrain.io.gpu_preprocess.PreprocessResult attribute), [1] to_arviz() (spectralbrain.backends.gpu.BlackjaxSampler method) (spectralbrain.backends.gpu.NumPyroSampler method) to_numpy() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) TORCH (spectralbrain.runtime.BackendName attribute) TorchBackend (class in spectralbrain.backends.gpu) torus() (spectralbrain.statistics.surrogates.SyntheticMesh method) total_gb (spectralbrain.backends.cpu.MemoryInfo attribute), [1] (spectralbrain.backends.gpu.VRAMInfo attribute), [1] total_time (spectralbrain.io.gpu_preprocess.PreprocessResult property) trace_ (spectralbrain.statistics.bayesian.BayesianModel attribute) triangle_areas() (in module spectralbrain.core.base) truncate() (spectralbrain.core.base.SpectralDecomposition method) (spectralbrain.SpectralDecomposition method) tune (spectralbrain.backends.cpu.SamplerConfig attribute) U used_gb (spectralbrain.backends.cpu.MemoryInfo attribute), [1] (spectralbrain.backends.gpu.VRAMInfo attribute), [1] V VERSION_INFO (in module spectralbrain.runtime) vertex_areas() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) vertex_effect_map() (spectralbrain.statistics.bayesian.BayesianSpatialModel method) vertex_to_nodes (spectralbrain.statistics.clustering.MapperResult attribute), [1] vertex_valence() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) vertexwise_correlation() (in module spectralbrain.statistics.analysis) vertexwise_mannwhitney() (in module spectralbrain.statistics.analysis) vertexwise_permutation() (in module spectralbrain.statistics.analysis) vertexwise_ttest() (in module spectralbrain.statistics.analysis) VertexWiseResult (class in spectralbrain.statistics.analysis) Vertices (in module spectralbrain.runtime) VIEWS_CORTEX (in module spectralbrain.viz.brainplots) VIEWS_FULL (in module spectralbrain.viz.brainplots) VIEWS_MEDIAL (in module spectralbrain.viz.brainplots) vines (spectralbrain.statistics.clustering.VineyardResult attribute), [1] VineyardResult (class in spectralbrain.statistics.clustering) vmap() (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method) vminmax (spectralbrain.viz.brainplots.BrainPlotSpec attribute) VolumeImage (in module spectralbrain.runtime) vram_clear() (in module spectralbrain.backends.gpu) vram_defrag() (in module spectralbrain.backends.gpu) vram_gc() (in module spectralbrain.backends.gpu) vram_guard() (in module spectralbrain.backends.gpu) vram_info() (in module spectralbrain.io.gpu_preprocess) vram_monitor() (in module spectralbrain.backends.gpu) vram_status() (in module spectralbrain.backends.gpu) VRAMInfo (class in spectralbrain.backends.gpu) VTK (spectralbrain.runtime.GeometryFormat attribute) W waic (spectralbrain.statistics.clustering.BayesianClusterConfirmation attribute), [1] warnings (spectralbrain.statistics.eda.SpectralQCReport attribute) weights (spectralbrain.statistics.clustering.FusionResult attribute), [1] WESD (spectralbrain.runtime.DescriptorType attribute) wesd() (in module spectralbrain) (in module spectralbrain.spectral.distances) wesd_matrix() (in module spectralbrain) (in module spectralbrain.spectral.distances) willmore_density() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) WILLMORE_ENERGY (spectralbrain.runtime.DescriptorType attribute) willmore_energy() (spectralbrain.BrainMesh method) (spectralbrain.core.meshes.BrainMesh method) WKS (spectralbrain.runtime.DescriptorType attribute) Z z_score_map() (in module spectralbrain.statistics.normative) ZERNIKE_3D (spectralbrain.runtime.DescriptorType attribute) zeros() (spectralbrain.backends.cpu.NumpyBackend static method) (spectralbrain.backends.gpu.CupyBackend method) (spectralbrain.backends.gpu.JaxBackend method) (spectralbrain.backends.gpu.TorchBackend method)