matlab

Generic Decoding Demo/Matlab

This is MATLAB code for Generic Decoding Demo.

Requirements

• BrainDecoderToolbox2

Data organization

All data should be placed in matlab/data. Data can be obrained from figshare. The data directory should have the following files:

data/ --+-- Subject1.mat (fMRI data, subject 1)
        |
        +-- Subject2.mat (fMRI data, subject 2)
        |
        +-- Subject3.mat (fMRI data, subject 3)
        |
        +-- Subject4.mat (fMRI data, subject 4)
        |
        +-- Subject5.mat (fMRI data, subject 5)
        |
        +-- ImageFeatures.mat (image features extracted with Matconvnet)

Download links:

• Subject1.mat
• Subject2.mat
• Subject3.mat
• Subject4.mat
• Subject5.mat
• ImageFeatures.mat

Analysis

Run the following script on MATLAB.

>> analysis_FeaturePrediction
>> analysis_FeaturePredictionAccuracy
>> analysis_CategoryIdentification

The all results will be saved in results directory.

To visualize the results, run the following script.

>> createfigure

createfigure.m will create two figures: one shows the results of image feature and category-averaged feature prediction, and the other displays the results of category identification. The figures will be saved in results directory in PDF format (FeaturePredictionAccuracy.pdf and IdentificationAccuracy.pdf).