Runnable examples - skeleton files

All functions
run anatomical dataset basics skl	Anatomical dataset basics In this example, load a brain as a CoSMoMVPA datset and visualize it in matlab
run bad double dipping analysis skl	Double dipping
run classify lda skl	odd-even classification with LDA classifier
run classify naive bayes skl	Two-class classification with naive baysian classifier
run classify svm skl	Classification using svm
run compare dsm skl	RSA Tutorial Compare DSMs
run correlation measure skl	Exercise with cosmo_correlation_measure Split-half correlation analysis using cosmo_correlation_measure
run cross validation skl	Cross validation example with multiple classifiers This example runs cross validation and shows confusion matrix using multiple classifiers
run crossvalidation measure skl	Cross validation measure example This example runs cross validation with the cosmo_crossvalidation_measure function, using a classifier with n-fold crossvalidation. It shows the confusion matrices using multiple classifiers
run crossvalidation searchlight skl	Crossvalidation searchlight
run dataset basics skl	Dataset basics
run demean skl	Example of de-meaning
run feature selection classifier skl	An example of using feature selection with a classifier
run fmri correlation searchlight trivial skl	Demo: fMRI searchlights with split-half correlation
run load datasets skl	Dataset Basics Load datasets using cosmo_fmri_dataset
run measure searchlight skl	Searchlight using a data measure
run meeg time generalization mcc skl	MEEG time generalization multiple comparison correction This example shows MVPA analyses performed on MEEG data.
run meeg time generalization skl	MEEG time generalization in a region (in space-time) of interest
run meeg timefreq measures skl	MEEG time-frequency searchlight
run meeg timelock measures skl	MEEG time-lock searchlight
run multiple comparison correction skl	Multiple comparison correction with Threshold-Free Cluster Enhancement
run nfold crossvalidate skl	n-fold cross-validation classification with LDA classifier
run nifti basics skl	NIFTI basics In this example, load a brain and visualize it in matlab
run operations on datasets skl	Dataset Basics Run operations on datasets
run permutation test skl	Permutation test example
run roi neighborhood skl	ROI neighborhood example
run rsa visualize skl	RSA Visualize
run rsm measure searchlight skl	Searchlight for representational similarity analysis
run setting sample attr skl	Dataset Basics (setting sample attributes)
run sphere offsets searchlight skl	Searchlight analysis in the volume
run sphere offsets skl	Show sphere offsets for used in spherical neighborhood
run spherical neighborhood searchlight skl	Spherical searchlight this example implements a spherical searchlight using cosmo_spherical_neighborhood and performs crossvalidation with a nearest neigh classifier
run splithalf correlations searchlight skl	Volumetric fMRI Searchlight
run splithalf correlations single sub skl	Roi-based MVPA for single subject (run_split_half_correlations_single_sub)
run splithalf correlations skl	roi-based MVPA with group-analysis
run surface searchlight skl	Demo: fMRI surface-based searchlights with LDA classifier