|
|
|
Data
|
Constructed Tessellated Neuronal Geometries (CTNG) (McDougal et al. 2013)
|
|
|
|
|
|
|
We present an algorithm to form watertight 3D surfaces consistent with
the point-and-diameter based neuronal morphology descriptions widely
used with spatial electrophysiology simulators.
...
This (point-and-diameter)
representation is well-suited for electrophysiology simulations, where
the space constants are larger than geometric ambiguities. However,
the simple interpretations used for pure electrophysiological
simulation produce geometries unsuitable for multi-scale models that
also involve three-dimensional reaction–diffusion, as such models have
smaller space constants.
...
Although one cannot exactly reproduce an
original neuron's full shape from point-and-diameter data, our new
constructive tessellated neuronal geometry (CTNG) algorithm uses
constructive solid geometry to define a plausible reconstruction
without gaps or cul-de-sacs.
CTNG then uses “constructive cubes” to
produce a watertight triangular mesh of the neuron surface, suitable
for use in reaction–diffusion simulations.
..."
|
|
|
|
|
|
|
|
|
-
Neuron or other electrically excitable cell Show
Other
|
|
|
|
|
-
McDougal RA, Hines ML, Lytton WW (2013) Show
Other
|
|
|
ctng
|
|
|
|
|
|
|
-
McDougal, Robert [robert.mcdougal at yale.edu] Show
Other
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
