Classification using Distinguishability Measure

In this page, we use distinguishablity measure to come up with the notion of "versatile" and "non-informative" voxels. Then we perform classification using both type of voxels alone just to see how each type performs. Plotting the accuracy curve obtained when using versatile voxels (V>=V_treshold) and non-informative (V<V_treshold) voxels. The figures below show the voxels from VT cortex (top, 577 voxels) and from the whole brain (bottom, 43193 voxels) respectively.

The details of classification using both types can be found here:

Classification on versatile voxels: link

Classification on non-informative voxels: link

Link back to Distinguishability measure page or the specificity page.

The MATLAB code can be found here.