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\f0\fs24 \cf0 Explainable Variance/Noise Ceiling using concatenated Movie10 repeats in each subject calculated by\
- explainable_variance() function from https://github.com/gallantlab/voxelwise_tutorials/blob/main/voxelwise_tutorials/utils.py\
- 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.}