23. Gaussian Random Fields

Описание к видео 23. Gaussian Random Fields

This video introduces Gaussian Random Field (GRF) theory, including an explanation of what if meant by "fields" of data and why they are relevant to fMRI.  I introduce the Euler characteristic of GRFs and how we can use it analytically solve for a height threshold that maintains a family-wise false positive rate of p is less than 0.05 over the GRF.  I end by discussing the strengths and weaknesses of this form of voxel-wise thresholding.

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