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. 2017 Feb 1;37(5):1284–1293. doi: 10.1523/JNEUROSCI.2336-16.2016

Table 1.

Princeton's MVPA toolbox classifier performance (in percent) distinguishing pitch from timbre conditions using four different masks

Subject ROI mask thresholded to 2000 voxels ROI mask Step size correlated voxel mask intersected with 2000 voxel mask Step size correlated voxel mask Mean classifier performance (%) for each subject SD
1 73 70 71 68 70.5 2.08
2 45 43 47 38 43.25 3.86
3 49 53 50 47 49.75 2.50
4 55 52 51 57 53.75 2.75
5 65 63 66 64 64.5 1.29
6 69 72 69 63 68.25 3.77
7 56 56 61 60 58.25 2.63
8 86 80 70 74 77.5 7.00
9 56 56 55 56 55.75 0.50
10 62 66 60 63 62.75 2.50
    Mean classifier performance (%) for each mask 61.6 61.1 60 59 60.4 1.16
    SD 12.17 11.11 8.91 10.34 10.3

Values in bold indicate best classifier performance for each subject.