fsbrain (version 0.5.2)

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)

Arguments

surface

an fs.surface instance

niters

positive integer, the nn iteration count

is_template

logical, whether the surface belongs to a template subject

Value

double, the expected FWHM

Examples

# NOT RUN {
spherical_surface = subject.surface(fsaverage.path(), "fsaverage3", surface="sphere", hemi="lh");
fsbrain:::pervertexdata.smoothnn.compute.fwhm(spherical_surface, 5L);
# }
# NOT RUN {

# }