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\f0\fs24 \cf0 Explainable Variance/Noise Ceiling using concatenated Movie10 repeats in each subject calculated by\
1) explainable_variance() function from https://github.com/gallantlab/voxelwise_tutorials/blob/main/voxelwise_tutorials/utils.py\
2) simple Pearson\'92s correlation between repeated presentations\
\
You can use this to normalize your encoding model performance to estimate how much unexplained variance at each parcel remains compared to the noise ceiling.}