< Master index Index for vbmeg/functions/estimation/bayes >

Index for vbmeg/functions/estimation/bayes

Matlab files in this directory:

 vb_baseline_variance_acquisitionACQUIRE THE CURRENT VARIANCE OF BASELINE
 vb_calc_GoFCalculate GoF (goodness of fit); a measure how magnetic field can be reconstructed by estimated current.
 vb_calc_currentCurrent reconstruction using Bayesian inverse filter
 vb_calc_roi_currentCalculate ROI-current according to area file
 vb_calc_timewindow
 vb_check_variableCheck variable consistency
 vb_convert_current_1dConvert current vector to scalar based on normal vector on cortex
 vb_convert_current_jJact = vb_convert_current_j(Zact, Wact, Lact)
 vb_convert_current_unitconvert current unit(density/amplitude)
 vb_covariance_calCovariance calculation
 vb_current_area_infofind selected area index in current file
 vb_current_area_info_zfind selected area index in current file
 vb_current_calcCalculate current using inverse filter
 vb_current_reconstruct_zCurrent reconstruction using Bayesian inverse filter.
 vb_current_reconstruct_z_trCurrent reconstruction using Bayesian inverse filter.
 vb_extract_peak_timecourse------------------------------------------------------------
 vb_feature_calcCalculate bandpass power of estimated current
 vb_focal_leadfield_preparationPrepare leadfield of focal and global window
 vb_get_megdataGet megdata for VB estimate;
 vb_global_leadfield_preparationPrepare leadfield of focal and global window
 vb_index2indexsubTransform absolute index to relative index
 vb_invfilter_calcCalculate Inverse filter for current reconstruction
 vb_invfilter_calc_zInverse filter for (Z-)current reconstruction
 vb_invfilter_zInverse filter for Z-current reconstruction
 vb_leadfield_preparationPrepare leadfield
 vb_load_resultLoad VB estimation result and necessary data for current reconstruction
 vb_load_result_zLoad VB estimation result and necessary data for current reconstruction
 vb_log_detLog( det(sxx) ) for Positive definite matrix
 vb_megdata_preparationPrepare MEG data from bayes_parm.
 vb_observation_noise_specificationSpecify observation noise covariance structure and its magnitude
 vb_overlapped_timewindow_weightTemporal smoothing window function
 vb_parm_absolute_pathvbmeg-0.30b
 vb_prepare_leadfieldPREPARE LEADFIELD MATRICES
 vb_set_multiple_priorSet (multiple) fMRI activity pattern(s) for Bayes Wiener estimate
 vb_set_noise_estimation_modelSet noise estimation model
 vb_set_vb_parmVB estimation parameteres 'vb_parm' are set based on 'bayes_parm'
 vb_set_vb_priorReturn prior hyper-parameter using fMRI activity pattern.
 vb_spatial_gauss_filterCalculate gasussian smoothing filter of 2D cortical surface
 vb_temporal_smoothtemporal smoothing
 vbmeg_ard_estimate2Variational Bayes estimation for MEG.
 vbmeg_ard_estimate4Variational Bayes estimation for MEG.
 vbmeg_current_calc_zCurrent reconstruction using Bayesian inverse filter
 vbmeg_current_filter_zCalculate Hierarchical Bayesian inverse filter
 vbmeg_current_reconstructCurrent reconstruction using Bayesian inverse filter
 vbmeg_current_reconstruct_trCurrent reconstruction for each trial using Bayesian inverse filter
 vbmeg_current_reconstruct_zCurrent reconstruction using Bayesian inverse filter.
 vbmeg_current_reconstruct_z_trCurrent reconstruction using Bayesian inverse filter.
 vbmeg_feature_calc_zCurrent reconstruction using Bayesian inverse filter
 vbmeg_multi_fmriBayesian Wiener estimation for MEG.

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