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Compute expected FWHM from given number of neighborhood smoothing iterations.
pervertexdata.smoothnn.compute.fwhm(surface, niters, is_template)
double, the expected FWHM
an fs.surface instance
fs.surface
positive integer, the nn iteration count
logical, whether the surface belongs to a template subject
if (FALSE) { spherical_surface = subject.surface(fsaverage.path(), "fsaverage3", surface="sphere", hemi="lh"); fsbrain:::pervertexdata.smoothnn.compute.fwhm(spherical_surface, 5L); }
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