surf.sphere.gaussianweights {fsbrain} | R Documentation |
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 ( |
sphere_dists |
list of vectors, as returned by surf.sphere.dist |
gstd |
double, Gaussian standard deviation, can be computed from the FWHM as |
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)
[Package fsbrain version 0.5.5 Index]