
Data

Constructed Tessellated Neuronal Geometries (CTNG) (McDougal et al. 2013)




We present an algorithm to form watertight 3D surfaces consistent with
the pointanddiameter based neuronal morphology descriptions widely
used with spatial electrophysiology simulators.
...
This (pointanddiameter)
representation is wellsuited 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 multiscale models that
also involve threedimensional reaction–diffusion, as such models have
smaller space constants.
...
Although one cannot exactly reproduce an
original neuron's full shape from pointanddiameter data, our new
constructive tessellated neuronal geometry (CTNG) algorithm uses
constructive solid geometry to define a plausible reconstruction
without gaps or culdesacs.
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
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McDougal RA, Hines ML, Lytton WW (2013) Show
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ctng





McDougal, Robert [robert.mcdougal at yale.edu] Show
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