surf.sphere.gaussianweights: Compute Gaussian weights

In fsbrain: Managing and Visualizing Brain Surface Data

Compute Gaussian weights

Description

Compute Gaussian weights

Usage

surf.sphere.gaussianweights(spherical_surface, sphere_dists, gstd)

Arguments

spherical_surface	an fs.surface instance representing the spherical version (lh.sphere or rh.sphere of the subject).
sphere_dists	list of vectors, as returned by surf.sphere.dist
gstd	double, Gaussian standard deviation, can be computed from the FWHM as gstd = fwhm / sqrt(log(256.0)).

Value

vector of Gaussian weights for vertices

Examples

## Not run: 
fwhm = 20.0; truncfactor = 3.5; sjd = fsaverage.path();
gstd = fwhm / sqrt(log(256.0)); maxdist = truncfactor * gstd;
spherical_surface = subject.surface(sjd, "fsaverage3", surface="sphere", hemi="lh");
sphere_dists = surf.sphere.dist(spherical_surface, maxdist = maxdist);
gaussian_weights = fsbrain:::surf.sphere.gaussianweights(spherical_surface,
 sphere_dists, gstd);
morph_data = rep(NA, nrow(spherical_surface$vertices));
morph_data[sphere_dists$neigh[[500]]] = gaussian_weights[[500]];
vis.data.on.subject(sjd, "fsaverage3", morph_data_lh=morph_data);

## End(Not run)

fsbrain documentation built on July 9, 2023, 7:12 p.m.