%pylab nbagg from tvb.simulator.lab import *
Populating the interactive namespace from numpy and matplotlib INFO log level set to INFO
Surface level simulations in TVB use a triangular mesh surface to represent the folded cortical surface, similar triangular mesh surfaces are used to represent the boundaries between brain and skull, skull and skin, and skin and air, that are used in the calculation of EEG and MEG forward solutions. This tutorial covers a few basic ways of looking at the properties of these surfaces.
One of the things we'll be looking for is how well regularised the mesh is -- a well regularised a mesh has a narrow distribution of edge lengths and triangle areas. For most uses in TVB, it is important to have a well regularised mesh.
ctx = cortex.Cortex(load_default=True) ctx.configure() ctx
|Number of edges||49140|
|Edge lengths, shortest (mm)||0.663807708237|
|Number of vertices||16384|
|Region area, minimum (mm:math:`^2`)||540.903695267|
|Has two hemispheres||False|
|Number of triangles||32760|
|Edge lengths, longest (mm)||7.75671824544|
|Number of regions||76|
|Region area, maximum (mm:math:`^2`)||9333.39347792|
|Region area, mean (mm:math:`^2`)||3038.51244522|
|Edge lengths, mean (mm)||3.97605292871|