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fsbrain (version 0.5.3)

pervertexdata.smoothnn.compute.fwhm: Compute expected FWHM from given number of neighborhood smoothing iterations.

Description

Compute expected FWHM from given number of neighborhood smoothing iterations.

Usage

pervertexdata.smoothnn.compute.fwhm(surface, niters, is_template)

Value

double, the expected FWHM

Arguments

surface

an fs.surface instance

niters

positive integer, the nn iteration count

is_template

logical, whether the surface belongs to a template subject

Examples

Run this code
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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