< Master index Index for lyngby >

Index for lyngby

Matlab files in this directory:

 lyngbylyngby - lyngby start, Calls lyngby_ui_main
 lyngby_baf2_globallyngby_baf2_global - Global variables for Ardekani nuisance F-test
 lyngby_baf2_initlyngby_baf2_init - Initialize globals for Ardekani F-test with nuisance
 lyngby_baf2_mainlyngby_baf2_main - Ardekani's F-test with nuisance estimation
 lyngby_baf2_testlyngby_baf2_test - Barbak Ardekani's F-test with nuisance estimation
 lyngby_baf_globallyngby_baf_global - Global variables for Ardekani F-test
 lyngby_baf_initlyngby_baf_init - Initialize globals for Ardekani F-test
 lyngby_baf_testlyngby_baf_test - Barbak Ardekani's F-test
 lyngby_bat_globallyngby_bat_global - Global variables for Ardekani t-test
 lyngby_bat_initlyngby_bat_init - Initialize globals for Ardekani t-test
 lyngby_bat_testlyngby_bat_test - t-test using the Ardekani t-method
 lyngby_batch_baf2lyngby_batch_fg - Batch for Ardekani's F-test with nuisance
 lyngby_batch_bmrlyngby_batch_bmr - Batch for Binomial mixture ROC curve
 lyngby_batch_cclyngby_batch_cc - Batch for cross-correlation
 lyngby_batch_conslyngby_batch_cons - Batch for consensus modeling
 lyngby_batch_fglyngby_batch_fg - Batch for Fisher's G harmonic analysis
 lyngby_batch_firlyngby_batch_fir - Batch for singular value decomposition
 lyngby_batch_icalyngby_batch_ica - Batch for independent components analysis
 lyngby_batch_preplyngby_batch_prep - Batch preprocessing
 lyngby_cc_globallyngby_cc_global - Global variables for cross-correlation
 lyngby_cdf_betalyngby_cdf_beta - Beta cumulative probability function
 lyngby_cdf_binlyngby_cdf_bin - Binomial distribution function
 lyngby_cdf_chi2lyngby_cdf_chi2 - X^2 cumulated distribution function
 lyngby_cdf_flyngby_cdf_f - Fisher's F distribution
 lyngby_cdf_fishersglyngby_cdf_fishersg - Cumulative distribution for Fisher's g
 lyngby_cdf_gausslyngby_cdf_gauss - Gaussian (normal) distribution function
 lyngby_cdf_tlyngby_cdf_t - Student t distribution
 lyngby_cdf_wilranklyngby_cdf_wilrank - "Wilcoxon sign rank" distribution
 lyngby_circlelyngby_circle - Draw a circle
 lyngby_classerrlyngby_classerr - Classification error
 lyngby_cons_globallyngby_cons_global - Consensus global variables declaration
 lyngby_cons_initlyngby_cons_init - Consensus global variables initialization
 lyngby_cons_mainlyngby_cons_main - Consensus modeling
 lyngby_corrlinlyngby_corrlin - Lin's concordance correlation coefficient
 lyngby_cumperiodolyngby_cumperiodo - Normalized cumulated periodogram
 lyngby_cvalyngby_cva - Canonical variate analysis (Canonical Ridge)
 lyngby_datatype2bitlyngby_datatype2bit - Return number of bits for datatype
 lyngby_designlyngby_normalize - Normalize in vertical direction of a datamatrix
 lyngby_design_events2designlyngby_design_events2design - Convert events to design matrix column
 lyngby_dropedgelyngby_dropedge - Drop scans at the paradigm shifts
 lyngby_efir_globallyngby_efir_global - Global variables for Exhaustive FIR analysis method
 lyngby_efir_initlyngby_efir_init - Initialize global variables for EFIR analysis
 lyngby_efir_mainlyngby_efir_main - Main exhautive FIR function
 lyngby_filefindlyngby_filefind - Find the position of a string in a file
 lyngby_filterlyngby_filter - function for averaging volumes
 lyngby_fir_convolvelyngby_fir_convolve - Convolve the FIR kernel with the input
 lyngby_fir_errorlyngby_fir_error - FIR residual signal (Quadratic error)
 lyngby_fir_globallyngby_fir_global - Global variables for FIR analysis method
 lyngby_fir_initlyngby_fir_init - Initialize global variables for FIR analysis
 lyngby_fir_mainlyngby_fir_main - Regularized FIR filter, main function
 lyngby_fir_masscentlyngby_masscenter - Returns the masscenter of the FIR kernel
 lyngby_fir_paradigm2designlyngby_fir_paradigm2design - Paradigm vector to design matrix
 lyngby_fir_plotlyngby_fir_plot - Plot paradigm, data and FIR model
 lyngby_fir_regmatrixlyngby_fir_regmatrix - Construct regularization matrix
 lyngby_fir_test_chi2lyngby_fir_test_chi2 - Chi square test for FIR filter
 lyngby_full2masklyngby_full2mask - Convert indices from Full volume to ROI volume
 lyngby_getdatalyngby_getdata - Returns the masked datamatrix
 lyngby_getinfolyngby_getinfo - Get volume info from a file
 lyngby_getslicelyngby_getslice - Extracts a slice from a volume
 lyngby_getvolumelyngby_getvolume - Get a volume from a file
 lyngby_globallyngby_global - File defining global variables
 lyngby_gmm_errorlyngby_gmm_error - Gaussian mixture model, error
 lyngby_gmm_fitlyngby_gmm_fit - Gaussian mixture model, fitting
 lyngby_gmm_plotlyngby_gmm_plot - Plot gaussian mixture model
 lyngby_histeqlyngby_histeq - Perform histogram equalization
 lyngby_ica_bs_estlyngby_ica_bs_est - Bell & Sejnowski ICA estimation
 lyngby_ica_globallyngby_ica_global - Global variables for ICA analysis
 lyngby_ica_initlyngby_ica_init - Initialize global variables for ICA analysis
 lyngby_ica_ms_estlyngby_ica_ms_est - Molgedey-Schuster ICA
 lyngby_ica_nbs_estlyngby_ica_nbs_est - Non-symmetric Bell & Sejnowski ICA
 lyngby_idf_betalyngby_idf_beta - Inverse beta culumative probability function
 lyngby_idf_chi2lyngby_idf_chi2 - Invers X^2 distribution function
 lyngby_idf_flyngby_idf_f - Inverse cumulative F distribution.
 lyngby_idf_gausslyngby_idf_gauss - Inverse cumulated Gaussian distribution
 lyngby_idf_tlyngby_idf_t - Inverted Student t distribution
 lyngby_ikm_biclyngby_ikm_bic - Bayesian information criterion for K-means
 lyngby_ikm_globallyngby_ikm_global - Iterative K-means, Global variables
 lyngby_ikm_initlyngby_ikm_init - Iterative K-means, Global variables init.
 lyngby_ikm_mainlyngby_ikm_main - Iterative K-means clustering
 lyngby_ikm_plot_wlyngby_ikm_plot_w - Plot Within variance for iterative K-means
 lyngby_imagelyngby_image - Plot a slice
 lyngby_img_regcleanlyngby_img_regclean - cleaning of image
 lyngby_img_regidentlyngby_img_regindent - Region identification
 lyngby_index2tmasklyngby_index2tmask - Return time mask from indices
 lyngby_index2vmasklyngby_index2vmask - Return voxel from indices
 lyngby_initlyngby_init - Initialize the global variables
 lyngby_invlogisticlyngby_invlogistic - Inverse logistic function
 lyngby_km_biclyngby_km_bic - Bayesian information criterion for K-means
 lyngby_km_centersimlyngby_km_centersim - K-means center similarity
 lyngby_km_errorlyngby_km_error - K-means, error
 lyngby_km_globallyngby_km_global - K-means, Global variables declarations
 lyngby_km_initlyngby_km_init - K-means, Global variables initialization
 lyngby_km_loglikelihoodlyngby_km_loglikelihood - Log likelihood of K-means model
 lyngby_km_mainlyngby_km_main - Main function for K-means clustering
 lyngby_km_plot_distlyngby_km_plot_dist - Plot summary of cluster center similarity
 lyngby_km_plot_scatlyngby_km_plot_scat - K-means scattergram of cluster centers
 lyngby_km_withinlyngby_km_within - K-means within-variance (within intertia)
 lyngby_kronaddlyngby_kronadd - Kronecker add
 lyngby_ks_globallyngby_ks_global - Global variables for KS analysis method
 lyngby_ks_initlyngby_ks_init - Initialize globals for KS-test analysis
 lyngby_ks_mainlyngby_ks_main - Kolmogorov Smirnov test
 lyngby_ks_problyngby_ks_prob - Kolmogorov-Smirnov probability
 lyngby_ks_testlyngby_ks_test - Kolmogorov-Smirnov test of two arrays.
 lyngby_loglyngby_log - Log
 lyngby_lz_errorlyngby_lz_error - Lange-Zeger residual signal (Quadratic error)
 lyngby_lz_lambdalyngby_lz_lambda - The Lange-Zeger hemodynamic response function
 lyngby_lz_masscentlyngby_lz_masscenter - Returns the masscenter of the Lange Zeger Kernel
 lyngby_lz_plotlyngby_lz_plot - Plot Paradigm, data and Lange-Zeger model
 lyngby_lz_plotthetalyngby_lz_plottheta - Plot Lange-Zeger theta1 against theta2
 lyngby_lzgs_globallyngby_lzgs_global - Global variables for LZ Grid Search analysis
 lyngby_lzgs_initlyngby_lzgs_init - Initialize global variables for LZGS
 lyngby_lzgs_mainlyngby_lzgs_main - Lange-Zeger model with grid search
 lyngby_lzgs_searchlyngby_lzgs_search - Lange Zeger main algorithm for grid search
 lyngby_lzit_algolyngby_lzit_algo - Lange-Zeger, optimization of model
 lyngby_lzit_betalyngby_lzit_beta - Lange-Zeger, Estimate beta parameter
 lyngby_lzit_convlyngby_lzit_conv - Lange-Zeger, Convolve kernel with the input
 lyngby_lzit_costlyngby_lzit_cost - The cost function used in the Lange-Zeger model
 lyngby_lzit_ftlamblyngby_lzit_ftlamb - Lange-Zeger, Fourier transformed of lambda
 lyngby_lzit_globallyngby_lzit_global - Global variables for iterative LZ
 lyngby_lzit_initlyngby_lzit_init - Initialize global variables for iterative LZ
 lyngby_lzit_mainlyngby_lzit_main - Main function for Lange-Zeger estimation
 lyngby_lzit_noiselyngby_lzit_noise - Noise estimate in the Lange-Zeger model
 lyngby_lzit_pickflyngby_lzit_pickf - Pick frequencies out from the data matrix
 lyngby_lzit_thoptlyngby_lzit_thopt - Lange-Zeger, Optimize theta parameters
 lyngby_mask2fulllyngby_mask2full - Convert indices from ROI to Full volume
 lyngby_meangeolyngby_meangeo - Geometric mean
 lyngby_meanhllyngby_meanhl - Hodges-Lehmann estimator
 lyngby_mkm_globallyngby_mkm_global - Meta K-means, Global variables declaration
 lyngby_mkm_initlyngby_mkm_init - Meta K-means, Global variables initialization
 lyngby_modlyngby_mod - Modulus function
 lyngby_msvd_mainlyngby_msvd_main - Perform meta svd comparison of selected models.
 lyngby_nn_ccdclyngby_nn_ccdc - NN-classifier cost function and derivative
 lyngby_nn_cddevdslyngby_nn_cddevds - 2nd order, entropic, input, diag. sym.
 lyngby_nn_cddewdalyngby_nn_cddewda - Classifier neural network, output, diag 2nd
 lyngby_nn_cddewdslyngby_nn_cddewds - Classifier neural network, output, diag 2nd
 lyngby_nn_cddrulyngby_nn_cddru - 2nd order der. of regularization for weights
 lyngby_nn_cdevlyngby_nn_cdev - Classifier neural network, input 1st der.
 lyngby_nn_cdewlyngby_nn_cdew - Classifier neural network, output 1st der.
 lyngby_nn_cdrulyngby_nn_cdru - Neural network, regularization, 1st der.
 lyngby_nn_cerrorlyngby_nn_cerror - Classifier neural network error
 lyngby_nn_cforwardlyngby_nn_cforward - Classifier neural network forward
 lyngby_nn_cmainlyngby_nn_cmain - Main functions for classifier neural network
 lyngby_nn_costlyngby_nn_cost - Cost function = error + regularization
 lyngby_nn_cpruneobdlyngby_nn_cpruneobd - Classifier neural network, OBD pruning
 lyngby_nn_csoftlinelyngby_nn_csoftline - Classifier neural network soft linesearch
 lyngby_nn_csoftmaxlyngby_nn_csoftmax - Softmax for neural network classifier
 lyngby_nn_ctrainlyngby_nn_ctrain - Classifier neural network training
 lyngby_nn_eddevdslyngby_nn_eddevds - 2nd order, entropic, input, diag. sym.
 lyngby_nn_eddewdlyngby_nn_eddewd - Entropic neural network, output, diag 2nd
 lyngby_nn_eddrulyngby_nn_eddru - 2nd order der. of regularization for weights
 lyngby_nn_edevlyngby_nn_edev - Entropic neural network, input 1st der.
 lyngby_nn_edewlyngby_nn_edew - Entropic neural network, output, 1st der.
 lyngby_nn_edrulyngby_nn_edru - First order derivative, Regularization
 lyngby_nn_eehllyngby_nn_eehl - Neural network entropic error (Hodge-Lehmann)
 lyngby_nn_eemedianlyngby_nn_eemedian - Neural network entropic error (median)
 lyngby_nn_eerrorlyngby_nn_eerror - Calculate (cross-)entropic error
 lyngby_nn_eforwardlyngby_nn_eforward - Entropic neural network, feed-forward
 lyngby_nn_emainlyngby_nn_emain - Main function for Entropic Neural network
 lyngby_nn_epruneobdlyngby_nn_epruneobd - Pruning by Optimal Brain Damage (entropic)
 lyngby_nn_esoftlinelyngby_nn_esoftline - Soft linesearch with the entropic cost function
 lyngby_nn_etargetlyngby_nn_etarget - Normalize target for entropic neural network
 lyngby_nn_etrainlyngby_nn_etrain - Entropic neural network, training
 lyngby_nn_initvwlyngby_nn_initvw - Initialize weights in neural network
 lyngby_nn_plotnetlyngby_nn_plotnet - Neural network, plot the network weights
 lyngby_nn_pruneobdlyngby_nn_pruneobd - Pruning by Optimal Brain Damage
 lyngby_nn_qddeuslyngby_nn_qddeus - 2nd der., quad., all weights, gauss approx.
 lyngby_nn_qddevdslyngby_nn_qddevds - 2nd der., quadratic, input, diag gauss.
 lyngby_nn_qddevslyngby_nn_qddevs - 2nd der., quadratic, input, gauss approx.
 lyngby_nn_qddewdslyngby_nn_qddewds - 2nd order der, quadratic, output, diag gauss
 lyngby_nn_qddewslyngby_nn_qddews - 2nd. order der., quadratic, output, gauss approx.
 lyngby_nn_qddrulyngby_nn_qddru - 2nd order der. of regularization for weights
 lyngby_nn_qdevlyngby_nn_qdev - Quadratic neural network, input, 1st der.
 lyngby_nn_qdewlyngby_nn_qdew - First order derivative, quadratic, Output weights
 lyngby_nn_qdrulyngby_nn_qdru - Quadratic neural network, 1st der. reg.
 lyngby_nn_qerrorlyngby_nn_qerror - Quadratic error
 lyngby_nn_qforwardlyngby_nn_qforward - Neural network forward with linear output function
 lyngby_nn_qmainlyngby_nn_qmain - Main function for quadratic neural network
 lyngby_nn_qpruneobdlyngby_nn_qpruneobd - Pruning by Optimal Brain Damage (quadratic)
 lyngby_nn_qsoftlinelyngby_nn_esoftline - Soft linesearch with the quadratic costfunction
 lyngby_nn_qtrainlyngby_nn_qtrain - Quadratic neural network, training
 lyngby_nn_reg2reglyngby_nn_reg2reg - Standardize regularization
 lyngby_nn_setsplitlyngby_nn_setsplit - Split the data into training and validation set
 lyngby_nn_tanhlyngby_nn_tanh - Faster hyperbolic tangent
 lyngby_nn_u2vwlyngby_nn_u2vw - Vectorize neural network weights
 lyngby_nn_vw2ulyngby_nn_vw2u - Vectorize neural network weights
 lyngby_nnr_globallyngby_nnr_global - Global variables for NNR analysis method
 lyngby_nnr_initlyngby_nnr_init - Initialize global variables for NNR analysis
 lyngby_nnr_mainlyngby_nnr_main - Main function for Neural network Regression
 lyngby_nns_esalmaplyngby_nns_esalmap - Saliency map with entropic cost function
 lyngby_nns_globallyngby_nns_global - Global variables for NNS analysis
 lyngby_nns_initlyngby_nns_init - Initialize global variables for NNS analysis
 lyngby_nns_mainlyngby_nns_main - Main function for Neural network saliency
 lyngby_normalizelyngby_normalize - Normalize (Preprocess) a datamatrix
 lyngby_numscanslyngby_numscans - Returns the masked number of scans volume
 lyngby_oplslyngby_opls - Orthonormalized PLS
 lyngby_opt_cglyngby_opt_cg - Rasmussen/Goutte's conjugate gradient minimization
 lyngby_opt_gradientlyngby_opt_gradient - Optimization with Gradient minimization
 lyngby_paradigmlyngby_paradigm - Returns the paradigm
 lyngby_pca_eqtestlyngby_pca_eqtest - PCA test for equal eigenvalues
 lyngby_pca_mainlyngby_pca_main - Main PCA analysis
 lyngby_pcafilterlyngby_pcafilter - Reduce the dimension or filter a matrix with PCA filtering
 lyngby_pde_binmixlyngby_pde_binmix - Estimation of binomial mixture model
 lyngby_pde_binmix_derlyngby_pde_binmix_der - Derivative of the binomial mixture
 lyngby_pde_binmix_lllyngby_pde_binmix_ll - Loglikelihood of mixture of binomials
 lyngby_pdf_betalyngby_pdf_beta - Beta probability density function
 lyngby_pdf_binlyngby_pdf_bin - Binomial probability density function
 lyngby_pdf_flyngby_pdf_f - F probability density function
 lyngby_pdf_gammalyngby_pdf_gamma - Gamma distribution density
 lyngby_pdf_gausslyngby_pdf_gauss - Gaussian (normal) density function
 lyngby_pdf_poissonlyngby_pdf_poisson - Poisson probability density function
 lyngby_plot_boxplotlyngby_plot_boxplot - Box plot
 lyngby_plotfilterlyngby_plotfilter - Plot FIR response
 lyngby_plotmatchlyngby_plotmatch - Plot paradigm, data and model
 lyngby_pois_errorlyngby_pois_error - Poisson residual signal (Quadratic error)
 lyngby_pois_forwardlyngby_pois_forward - Possion kernel forward (prediction)
 lyngby_pois_forwnlyngby_pois_forwn - Possion kernel forward (prediction)
 lyngby_pois_globallyngby_pois_global - Poisson filter, Global variables
 lyngby_pois_initlyngby_pois_init - Poisson filter, Initialize global variables
 lyngby_pois_mainlyngby_pois_main - Main function for Possion filter
 lyngby_pois_toptimlyngby_pois_toptim - Possion kernel optimization
 lyngby_prep_detrendlyngby_prep_detrend - Detrending
 lyngby_prep_globallyngby_prep_global - Global variables for preprocessing
 lyngby_prep_initlyngby_prep_init - Initialize global variables for preprocessing
 lyngby_read_ana4dlyngby_read_ana4d - Reads a 4D dimensional ANALYZE file
 lyngby_read_analyzelyngby_read_analyze - Reads an ANALYZE file
 lyngby_read_headerlyngby_read_header - Reads header information of a volume file
 lyngby_read_sdtlyngby_read_sdt - Read a Stimulate SDT/SPR file
 lyngby_read_vapetlyngby_read_vapet - Read a 3D VAPET file
 lyngby_read_vapet4dlyngby_read_vapet4d - Read a 4D VAPET file
 lyngby_read_volumelyngby_read_volume - Reads a volume from a recognized file
 lyngby_read_volumeslyngby_read_volumes - Reads volumes from files
 lyngby_readanahdrlyngby_readanahdr - Reads an ANALYZE header
 lyngby_readanavollyngby_readanavol - Reads an ANALYZE img file
 lyngby_readvahdr4lyngby_readvahdr4 - Reads the header information in a 4 dimensional VAPET file
 lyngby_readvapethdrlyngby_readvapethdr - Reads the header information in a VAPET file
 lyngby_readvapetvollyngby_readvapetvol - Reads a VAPET volume from a file
 lyngby_readvavol4lyngby_readvavol4 - Reads a 4 dimensional VAPET structure from a file
 lyngby_readxpihdrlyngby_readxpihdr - Read header from EC flexible format
 lyngby_readxpivollyngby_readxpivol - Read data from EC flexible (Xprime) format
 lyngby_roilyngby_roi - Returns the begin and end index of the volume
 lyngby_roi2vmasklyngby_roi2vmask - Transform ROI definition to masking matrix
 lyngby_runlyngby_run - Returns the run specification
 lyngby_runinfolyngby_runinfo - Number of runs and scans within runs
 lyngby_scva_globallyngby_scva_global - Global variables for SCVA analysis
 lyngby_scva_initlyngby_scva_init - Initialize global variables for SCVA analysis
 lyngby_scva_mainlyngby_scva_main - Strother Canonical variate analysis
 lyngby_sdesignlyngby_sdesign - Strother design matrix
 lyngby_set_andlyngby_set_and - set intersection: S1 /\ S2
 lyngby_set_difflyngby_set_diff - set difference: S1 \ S2
 lyngby_set_uniquelyngby_set_unique - Set thining: all elements different
 lyngby_sliceindexlyngby_sliceindex - Returns indices for a specified slice
 lyngby_sop_globallyngby_sop_global - Global variables for SOP analysis
 lyngby_sop_initlyngby_sop_init - Initialize global variables for SOP analysis
 lyngby_sop_mainlyngby_sop_main - Strother OPLS
 lyngby_sopressvdlyngby_sopressvd - SOP with SVD on the residual
 lyngby_splitonofflyngby_splitonnoff - Function to find the indices of the on/off scans.
 lyngby_spm_xyz2indlyngby_spm_xyz2ind - Convert SPM XYZ structure to voxel indices
 lyngby_svdlyngby_svd - Singular value decomposition
 lyngby_svd_globallyngby_svd_global - Global variables for SVD analysis
 lyngby_svd_initlyngby_svd_init - Initialize global variables for SVD analysis
 lyngby_svdfilterlyngby_svdfilter - Filtering by SVD
 lyngby_swaporderlyngby_swaporder - Swap the xyz order in a volume
 lyngby_talaimglyngby_talaimg - Returns Talairach brain plot in the style of SPM
 lyngby_test_fishersglyngby_test_fishersg - Test with Fisher's g
 lyngby_test_wilranklyngby_test_wilrank - Wilcoxon sign rank test
 lyngby_tmask2indexlyngby_tmask2index - Return time mask from indices
 lyngby_ts_ftestlyngby_ts_ftest - F-test for two samples.
 lyngby_ts_globallyngby_ts_global - Global variables for TS analysis method
 lyngby_ts_initlyngby_ts_init - Initialize globals for t-test analysis method
 lyngby_ts_mainlyngby_ts_main - Whole volume Student's t-test for equal variances.
 lyngby_ts_pttestlyngby_ts_pttest - Student's paired t-test.
 lyngby_ts_ttestlyngby_ts_ttest - Two sample Student t test, equal variances.
 lyngby_ts_uttestlyngby_ts_uttest - Student's t-test for unequal variances.
 lyngby_ui_baf2_initlyngby_ui_baf2_init - Ardekani's nuisance F-test, init. of param.
 lyngby_ui_baf_initlyngby_ui_baf_init - Ardekani's F-test, GUI for init. of param.
 lyngby_ui_bat_initlyngby_ui_bat_init - Initialization for Ardekani's t-test
 lyngby_ui_cc_initlyngby_ui_cc_init - User interface for init. of cross-correlation
 lyngby_ui_cc_viewlyngby_ui_cc_view - User interface for viewing Cross-correlation results
 lyngby_ui_cons_initlyngby_ui_cons_init - Initialization for Consensus modeling
 lyngby_ui_creditlyngby_ui_credit - Display a credit
 lyngby_ui_efir_initlyngby_ui_efir_init - UI for initialization of EFIR model
 lyngby_ui_externalslyngby_ui_externals - Window for editing/creating external
 lyngby_ui_fir_initlyngby_ui_fir_init - User interface for FIR filter analysis
 lyngby_ui_globallyngby_ui_global - Defines global for the user interface
 lyngby_ui_ica_initlyngby_ui_ica_init - GUI for initialization of ICA model
 lyngby_ui_ikm_initlyngby_ui_ikm_init - GUI for Iterative K-means initialization
 lyngby_ui_km_initlyngby_ui_km_init - GUI for K-means parameter initialization
 lyngby_ui_ks_initlyngby_ui_ks_init - KS, GUI for initialization of parameters
 lyngby_ui_loadfilelyngby_ui_loadfile - Opens a window for specifying file parameters
 lyngby_ui_lz_initlyngby_ui_lz_init - Lange-Zeger GUI init of parameters
 lyngby_ui_lzgs_initlyngby_ui_lzgs_init - Lange-Zeger GUI init of parameters
 lyngby_ui_lzit_initlyngby_ui_lzit_init - GUI for iterative Lange-Zeger initialization
 lyngby_ui_mainlyngby_ui_main - Main function for the GUI for lyngby
 lyngby_ui_messagelyngby_ui_message - Display a message
 lyngby_ui_mkm_initlyngby_ui_mkm_init - GUI for Meta K-means initialization
 lyngby_ui_movielyngby_ui_movie - User interface for movie
 lyngby_ui_nnr_initlyngby_ui_nnr_init - User interface for NNR method
 lyngby_ui_nns_initlyngby_ui_nns_init - GUI for Neural network saliency
 lyngby_ui_optionlyngby_ui_option - Option/setup for user interface
 lyngby_ui_para_drawlyngby_ui_para_draw - User interface for paradigm viewing (and specification)
 lyngby_ui_paradigmlyngby_ui_paradigm - User interface for paradigm viewing and editing
 lyngby_ui_pois_initlyngby_ui_pois_init - GUI, Poisson filter, initialization
 lyngby_ui_preproclyngby_ui_preproc - UI for setting up preprocessing parameters
 lyngby_ui_preproc_detrendlyngby_ui_preproc_detrend - UI for setting up preprocessing parameters
 lyngby_ui_preproc_dtplotlyngby_ui_preproc_dtplot - User interface for time mask specification
 lyngby_ui_preproc_dummylyngby_ui_preproc_dummy - UI for setting up preprocessing parameters
 lyngby_ui_preproc_normalizelyngby_ui_preproc_normalize - UI for setting up preprocessing parameters
 lyngby_ui_resinfolyngby_ui_resinfo - Defines global for the user interface
 lyngby_ui_runlyngby_ui_run - User interface for run viewing/specification
 lyngby_ui_run_nolyngby_ui_run_no - User interface for run specification
 lyngby_ui_saveresultlyngby_ui_saveresult - Opens a window for specifying file parameters.
 lyngby_ui_scva_initlyngby_ui_scva_init - GUI for init of Strother CVA
 lyngby_ui_sop_initlyngby_ui_sop_init - GUI of init. of SOP model
 lyngby_ui_svd_initlyngby_ui_svd_init - GUI for initialization of SVD model
 lyngby_ui_timelyngby_ui_time - User interface for time mask specification
 lyngby_ui_time_belyngby_ui_time_be - User interface for time mask specification
 lyngby_ui_ts_initlyngby_ui_ts_init - Initialization of t-test
 lyngby_ui_viewlyngby_ui_view - User interface for viewing results
 lyngby_ui_view_baflyngby_ui_view_baf - Viewing Ardekani F-test results
 lyngby_ui_view_baf2lyngby_ui_view_baf2 - Viewing function for Ardekani's nuisance F
 lyngby_ui_view_batlyngby_ui_view_bat - Viewing Ardekani t-test results
 lyngby_ui_view_cclyngby_ui_view_cc - Viewing Cross-correlation results
 lyngby_ui_view_conslyngby_ui_view_cons - Consensus viewing function
 lyngby_ui_view_detrendlyngby_ui_view_dfl - Detrended data viewing function
 lyngby_ui_view_dfllyngby_ui_view_dfl - Default viewing function
 lyngby_ui_view_efirlyngby_ui_view_efir - Viewing Exhaustive FIR filter results
 lyngby_ui_view_firlyngby_ui_view_fir - Viewing FIR filter results
 lyngby_ui_view_icalyngby_ui_view_ica - ICA viewing function
 lyngby_ui_view_ikmlyngby_ui_view_ikm - Viewing Iterative K-means filter results
 lyngby_ui_view_kmlyngby_ui_view_km - Viewing K-means filter results
 lyngby_ui_view_kslyngby_ui_view_ks - Kolmogorov-Smirnov viewing function
 lyngby_ui_view_lzgslyngby_ui_view_lzgs - Viewing Lange Zeger grid search results
 lyngby_ui_view_lzitlyngby_ui_view_lzit - Viewing Lange Zeger results
 lyngby_ui_view_mkmlyngby_ui_view_mkm - Viewing of meta K-means results
 lyngby_ui_view_nnrlyngby_ui_view_nnr - Viewing NNR filter results
 lyngby_ui_view_nnslyngby_ui_view_nns - Viewing of NNS results
 lyngby_ui_view_poislyngby_ui_view_pois - Viewing poisson filter results
 lyngby_ui_view_scvalyngby_ui_view_scva - Viewing function for Strother CVA
 lyngby_ui_view_soplyngby_ui_view_sop - Viewing for Strother OPLS
 lyngby_ui_view_svdlyngby_ui_view_svd - Viewing for Strother OPLS
 lyngby_ui_view_tslyngby_ui_view_ts - t-test viewing function
 lyngby_ui_viewvollyngby_ui_viewvol - View full volume timeserie and specify ROI and voxelmask
 lyngby_ui_volumelyngby_ui_volume - View full volume timeserie and specify mask
 lyngby_ui_voxelmasklyngby_ui_voxelmask - User interface for voxelmask editing
 lyngby_uis_baflyngby_uis_baf - Script executed for Ardekani's F-test
 lyngby_uis_baf2lyngby_uis_baf2 - Script executed for Ardekani's nuisance F
 lyngby_uis_baf2_vlyngby_uis_baf2_v - Script for Arkani's F-test with nuisance view
 lyngby_uis_baf_vlyngby_uis_baf_v - Script for Ardekani F-test view
 lyngby_uis_batlyngby_uis_bat - Script executed for Ardekani's t-test
 lyngby_uis_bat_vlyngby_uis_bat_v - Script for Ardekani't t-test view
 lyngby_uis_cclyngby_uis_cc - Script executed for cross-correlation anal.
 lyngby_uis_cc_vlyngby_uis_cc_v - Script for cross-correlation view
 lyngby_uis_conslyngby_uis_cons - Script executed for consensus
 lyngby_uis_cons_vlyngby_uis_cons_v - Script for Consensus viewing
 lyngby_uis_efirlyngby_uis_efir - Script executed at the EFIR analysis
 lyngby_uis_efir_vlyngby_uis_efir_v - Script for 'exhaustive FIR' viewing
 lyngby_uis_firlyngby_uis_fir - Script executed at the FIR analysis
 lyngby_uis_fir_vlyngby_uis_fir_v - Script for FIR view
 lyngby_uis_icalyngby_uis_ica - Script executed for ICA
 lyngby_uis_ica_vlyngby_uis_ica_v - Script for ICA view
 lyngby_uis_ikmlyngby_uis_ikm - Script executed for iterative K-means
 lyngby_uis_ikm_vlyngby_uis_ikm_v - Script for Iterative K-means view
 lyngby_uis_kmlyngby_uis_km - Script executed for K-means analysis
 lyngby_uis_km_vlyngby_uis_km_v - Script for K-means view
 lyngby_uis_kslyngby_uis_ks - Script executed for Kolmogorov-Smirnoff
 lyngby_uis_ks_vlyngby_uis_ks_v - Script for Kolmogorov-Smirnov view
 lyngby_uis_lzgslyngby_uis_lzgs - Script executed for Lange-Zeger Grid Search
 lyngby_uis_lzgs_vlyngby_uis_lzgs_v - Script for Lange-Zeger gridsearch view
 lyngby_uis_lzitlyngby_uis_lzit - Script executed for Lange-Zeger, Iterative
 lyngby_uis_lzit_vlyngby_uis_lzit_v - Script for Lange-Zeger 'iterative' view
 lyngby_uis_mkmlyngby_uis_mkm - Script executed for Meta K-means analysis
 lyngby_uis_mkm_vlyngby_uis_mkm_v - Script for Meta K-means viewing
 lyngby_uis_nnrlyngby_uis_nnr - Script executed for Neural network regression
 lyngby_uis_nnr_vlyngby_uis_nnr_v - Script for neural network regression view
 lyngby_uis_nnslyngby_uis_nns - Script executed for Neural network saliency
 lyngby_uis_nns_vlyngby_uis_nns_v - Script for neural network saliency view
 lyngby_uis_none_vlyngby_uis_none_v - Script for 'original' view
 lyngby_uis_poislyngby_uis_pois - Script executed for Poisson filter analysis
 lyngby_uis_pois_vlyngby_uis_pois_v - Script for Poisson filter view
 lyngby_uis_pp_detrend_vlyngby_uis_pp_detrend_v - Script for viewing of detrended data
 lyngby_uis_scvalyngby_uis_scva - Script executed for SCVA analysis
 lyngby_uis_scva_vlyngby_uis_scva_v - Script for SCVA view
 lyngby_uis_soplyngby_uis_sop - Script executed for SOP analysis
 lyngby_uis_sop_vlyngby_uis_sop_v - Script for SOP view
 lyngby_uis_svdlyngby_uis_svd - Script executed for SVD analysis
 lyngby_uis_svd_vlyngby_uis_svd_v - Script for SVD view
 lyngby_uis_tslyngby_uis_ts - Script executed for t-test analysis
 lyngby_uis_ts_vlyngby_uis_ts_v - Script for t-test view
 lyngby_vmask2indexlyngby_vmask2index - Return Indices from voxel mask
 lyngby_write_analyngby_write_ana - Write a volume to ANALYZE files
 lyngby_write_sdtlyngby_write_sdt - Write a volume/datamatrix to SDT/SPR file
 lyngby_write_vapetlyngby_write_vapet - Write a volume to VAPET file
 lyngby_write_volumeslyngby_write_volumes - Write volumes to file
 lyngby_xcorrlyngby_xcorr - Cross correlation/covariance

Subsequent directories:


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