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Table 1:

Pixel-Wise Test Correlations of All Decoder Outputs (99% Confidence Interval Values in Parentheses).

Versus True LPVersus True HPVersus True
LP ridge (2-bin) 0.975 (0.00016)   LP Ridge: 2-bin 0.887 (0.00062) 
  HP NN 0.360 (0.0032) HP NN+LP ridge (2-bin) 0.901 (0.00059) 
    Combined-deblurred 0.912 (0.00055) 
    Ridge-deblurred 0.903 (0.00057) 
Whole ridge 0.963 (0.00021) HP Ridge 0.282 (0.0028) Whole RIDGE 0.890 (0.00061) 
LP NN 0.960 (0.00033)   Whole NN 0.874 (0.00076) 
LP ridge (50-bin) 0.979 (0.00015)     
LP LASSO 0.978 (0.00015)     
Versus True LPVersus True HPVersus True
LP ridge (2-bin) 0.975 (0.00016)   LP Ridge: 2-bin 0.887 (0.00062) 
  HP NN 0.360 (0.0032) HP NN+LP ridge (2-bin) 0.901 (0.00059) 
    Combined-deblurred 0.912 (0.00055) 
    Ridge-deblurred 0.903 (0.00057) 
Whole ridge 0.963 (0.00021) HP Ridge 0.282 (0.0028) Whole RIDGE 0.890 (0.00061) 
LP NN 0.960 (0.00033)   Whole NN 0.874 (0.00076) 
LP ridge (50-bin) 0.979 (0.00015)     
LP LASSO 0.978 (0.00015)     

Notes: The best results are in bold.

The 2-bin and 50-bin LP ridge labels represent the two linear ridge decoders trained on the low-pass images. The whole ridge decoder is the 2-bin ridge decoder trained on the true whole images themselves, while the HP ridge decoder is the same decoder trained on the high-pass images only. The LP, HP, and whole NN labels denote the spatially restricted neural network decoder trained on low-pass, high-pass, and whole images, respectively. LP LASSO represents the 2-bin LASSO regression decoder trained on low-pass images. Finally, the combined-deblurred images are the deblurred versions of the sum of the HP NN and LP Ridge (2-bin) decoded images, while the ridge-deblurred images are the deblurred versions of the whole ridge decoder outputs. These final three—combined-deblurred, ridge-deblurred, and HP NN + LP Ridge (2-bin)—are in bold because they produced best results. The second, fourth, and sixth columns represent pixel-wise test correlations of each decoder's output versus the true low-pass, high-pass, and whole images, respectively.

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