Computational model
Constructed Tessellated Neuronal Geometries (CTNG) (McDougal et al. 2013)
ctng_r1 [28431]
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
  • McDougal, Robert [robert.mcdougal at] Show Other
Other categories referring to Constructed Tessellated Neuronal Geometries (CTNG) (McDougal et al. 2013)
Revisions: 17
Last Time: 5/31/2016 6:05:42 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin