Dear PyMVPA community, I'm a bit confused with noise normalization and I was hoping someone can clarify it for me. Walther et al., (2016) mentions that noise normalization is an important step in multivariate fMRI. For what I understand, if I Z-score each voxel, I'm performing a univariate noise normalization, as I'm transforming the signal and it's variations to a score that accounts for the dispersion of the data (thus, the noise). Is this correct? Or the noise normalization is something different?
Thanks in advance. Regards, Raul
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