Master index
| Master index |
Index for vbmeg/functions/estimation/bayes |
 vb_baseline_variance_acquisition | ACQUIRE THE CURRENT VARIANCE OF BASELINE |
| vb_calc_GoF | Calculate GoF (goodness of fit); a measure how magnetic field can be reconstructed by estimated current. |
| vb_calc_current | Current reconstruction using Bayesian inverse filter |
| vb_calc_roi_current | Calculate ROI-current according to area file |
| vb_calc_timewindow | |
| vb_check_variable | Check variable consistency |
| vb_convert_current_1d | Convert current vector to scalar based on normal vector on cortex |
| vb_convert_current_j | Jact = vb_convert_current_j(Zact, Wact, Lact) |
| vb_convert_current_unit | convert current unit(density/amplitude) |
| vb_covariance_cal | Covariance calculation |
| vb_current_area_info | find selected area index in current file |
| vb_current_area_info_z | find selected area index in current file |
| vb_current_calc | Calculate current using inverse filter |
| vb_current_reconstruct_z | Current reconstruction using Bayesian inverse filter. |
| vb_current_reconstruct_z_tr | Current reconstruction using Bayesian inverse filter. |
| vb_extract_peak_timecourse | ------------------------------------------------------------ |
| vb_feature_calc | Calculate bandpass power of estimated current |
| vb_focal_leadfield_preparation | Prepare leadfield of focal and global window |
| vb_get_megdata | Get megdata for VB estimate; |
| vb_global_leadfield_preparation | Prepare leadfield of focal and global window |
| vb_index2indexsub | Transform absolute index to relative index |
| vb_invfilter_calc | Calculate Inverse filter for current reconstruction |
| vb_invfilter_calc_z | Inverse filter for (Z-)current reconstruction |
| vb_invfilter_z | Inverse filter for Z-current reconstruction |
| vb_leadfield_preparation | Prepare leadfield |
| vb_load_result | Load VB estimation result and necessary data for current reconstruction |
| vb_load_result_z | Load VB estimation result and necessary data for current reconstruction |
| vb_log_det | Log( det(sxx) ) for Positive definite matrix |
| vb_megdata_preparation | Prepare MEG data from bayes_parm. |
| vb_observation_noise_specification | Specify observation noise covariance structure and its magnitude |
| vb_overlapped_timewindow_weight | Temporal smoothing window function |
| vb_parm_absolute_path | vbmeg-0.30b |
| vb_prepare_leadfield | PREPARE LEADFIELD MATRICES |
| vb_set_multiple_prior | Set (multiple) fMRI activity pattern(s) for Bayes Wiener estimate |
| vb_set_noise_estimation_model | Set noise estimation model |
| vb_set_vb_parm | VB estimation parameteres 'vb_parm' are set based on 'bayes_parm' |
| vb_set_vb_prior | Return prior hyper-parameter using fMRI activity pattern. |
| vb_spatial_gauss_filter | Calculate gasussian smoothing filter of 2D cortical surface |
| vb_temporal_smooth | temporal smoothing |
| vbmeg_ard_estimate2 | Variational Bayes estimation for MEG. |
| vbmeg_ard_estimate4 | Variational Bayes estimation for MEG. |
| vbmeg_current_calc_z | Current reconstruction using Bayesian inverse filter |
| vbmeg_current_filter_z | Calculate Hierarchical Bayesian inverse filter |
| vbmeg_current_reconstruct | Current reconstruction using Bayesian inverse filter |
| vbmeg_current_reconstruct_tr | Current reconstruction for each trial using Bayesian inverse filter |
| vbmeg_current_reconstruct_z | Current reconstruction using Bayesian inverse filter. |
| vbmeg_current_reconstruct_z_tr | Current reconstruction using Bayesian inverse filter. |
| vbmeg_feature_calc_z | Current reconstruction using Bayesian inverse filter |
| vbmeg_multi_fmri | Bayesian Wiener estimation for MEG. |