[pymvpa] Noise normalization

[Raúl Hernández]

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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