Continuous time stochastic model for neurite branching (van Elburg 2011)

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Accession:129071
"In this paper we introduce a continuous time stochastic neurite branching model closely related to the discrete time stochastic BES-model. The discrete time BES-model is underlying current attempts to simulate cortical development, but is difficult to analyze. The new continuous time formulation facilitates analytical treatment thus allowing us to examine the structure of the model more closely. ..."
Reference:
1 . van Elburg R (2011) Stochastic Continuous Time Neurite Branching Models with Tree and Segment Dependent Rates Journal of Theoretical Biology 276(1):159-173
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Model Type: Axon; Dendrite;
Brain Region(s)/Organism:
Cell Type(s):
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Gap Junctions:
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Simulation Environment: C or C++ program; MATLAB;
Model Concept(s): Development;
Implementer(s): van Elburg, Ronald A.J. [R.van.Elburg at ai.rug.nl];

van Elburg R (2011) Stochastic Continuous Time Neurite Branching Models with Tree and Segment Dependent Rates Journal of Theoretical Biology 276(1):159-173

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References and models that cite this paper

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