Representational similarity analysis toolbox
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AUTHOR LIST
# Overview
The representational similarity analysis (RSA) toolbox provides functions for estimating, visualizing similarities between condition-specific activity patterns measured using functional magnetic resonance imaging (fMRI). The toolbox is designed for fMRI analysis, but the methods can easily be applied for single-unit, local-field potential, muscle activity responses. This readme page just briefly summarizes the contents of the toolbox and short comments.
The functions provided in the toolbox can be categorized into different categories:
## Organization of toolbox functions
These are the functions that perform the core statistical functions of the toolbox.
| Function | Comment |
| -------- | ---------------------------------------- |
| gifti | Read curvature and surface files in GIFTI format |
| surf | Setup and run volumetric or anatomically guided searchlights |
## Visualization functions
| Function | Comment |
| -------- | ---------------------------------------- |
| fig | description |
## Recipes
| Function | Comment |
| -------- | ---------------------------------------- |
| func | description |
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A Matlab toolbox for representational similarity analysis.zip (211个子文件)
biblio.bib 972KB
surfing_uniqueidxsperrow.c 3KB
pairCACt.c 3KB
surfing_eucldist.c 2KB
neuroimage.csl 820B
.gitignore 586B
compareRefRDM2candRDMs.m 52KB
fMRISearchlight.m 25KB
save_gii.m 21KB
fMRISearchlightModelComparison.m 20KB
save.m 20KB
exportfig.m 16KB
fMRIPrepareSearchlightRDMs.m 16KB
defineSearchlight_surface.m 15KB
figureMDSArrangement.m 13KB
ceilingAvgRDMcorr.m 13KB
xticklabel_rotate.m 11KB
searchlightMapping_fMRI.m 10KB
DEMO1_RSA_ROI_simulatedAndRealData.m 8KB
fMRIDataMasking.m 8KB
userOptions_guide.m 8KB
runSearchlight.m 7KB
constructRDMs.m 7KB
overwritePrompt.m 7KB
bootstrapRDMs.m 7KB
fMRIDataPreparation.m 7KB
addImageSequenceToAxes.m 7KB
DEMO4_RSAsearchlight_sim.m 7KB
MDSConditions.m 7KB
DEMO2_RSA_ROI_sim.m 6KB
bootConfint.m 6KB
crossvalIPMraw.m 6KB
distanceLDCraw.m 6KB
dendrogramConditions.m 6KB
noiseNormalizeBeta.m 6KB
defineUserOptions.m 6KB
generateCognitiveModel_fastButTrialsNeedToStartOnVols.m 6KB
defineUserOptions.m 6KB
read_gifti_file.m 6KB
defineSearchlight_volume.m 6KB
MDSRDMs.m 5KB
figureRDMs.m 5KB
fMRIMaskPreparation.m 5KB
defineSearchlight.m 5KB
rubberbandGraphPlot.m 5KB
base64encode.m 5KB
distanceLDC.m 5KB
projectOptions_demo.m 5KB
showRDMs.m 5KB
spm_create_vol.m 5KB
defineUserOptions2.m 5KB
crossvalIPM.m 5KB
showVol.m 5KB
pairwiseCorrelateRDMs.m 5KB
runSearchlightLDC.m 5KB
addRoiToVol.m 5KB
getDataFromSPM.m 4KB
FDRthreshold.m 4KB
indicatorMatrix.m 4KB
averageRDMs_subjectSession.m 4KB
simulateDataFiles.m 4KB
generateBetaPatterns.m 4KB
fisherDiscrTRDM.m 4KB
figureDendrogram.m 4KB
spatiallySmooth4DfMRI_mm.m 4KB
exhaustivePermutations.m 4KB
subsasgn.m 4KB
gifti.m 4KB
surfing_coords2linvoxelidxs.m 3KB
raeSpearmanCorr.m 3KB
surfing_nodeidxs2coords.m 3KB
projectOptions_DEMO1.m 3KB
handleCurrentFigure.m 3KB
constructModelRDMs.m 3KB
imageRDMs.m 3KB
base64decode.m 3KB
showVoxObj.m 3KB
simulationOptions_demo_SL.m 3KB
simulateClusteredfMRIData_fullBrain.m 3KB
DEMO3_LDt_sim.m 3KB
simulationOptions_demo.m 3KB
plotDotsWithTextLabels.m 3KB
simulationOptions_demo_LDt.m 3KB
spm_write_vol.m 3KB
unwrapRDMs.m 3KB
Recipe_fMRI.m 3KB
getUserOptions.m 2KB
plotTextLabels.m 2KB
simulateClusteredfMRIData.m 2KB
surfing_nodeidxs2faceidxs.m 2KB
spm_type.m 2KB
modelRDMs.m 2KB
RDMCorrMat.m 2KB
categoricalRDM.m 2KB
modelMANOVA.m 2KB
isintent.m 2KB
fitModelOLS.m 2KB
replaceWildcards.m 2KB
readSurf.m 2KB
gaussian_nk.m 2KB
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