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On the Generation of Random Dendritic Shapes

  • Jaap van Pelt
  • Alexander E. Dityatev
  • Andreas Schierwagen

Abstract

Dendritic branching patterns are complex and show a large degree of variation in their shapes. This variation can be found in typical shape parameters, such as the number, length and connectivity pattern (topological structure) of the constituent segments. Dendritic branching patterns emerge during neuronal development from the behavior of growth cones which determine the processes of branching and lengthening of segments (e.g., Bray, 1992). This dynamic behavior of growth cones is the result of cellular responses to the local environments (e.g., Kater et al., 1994; Letourneau et al., 1994). Many mechanisms are involved in growth cone behavior, making it plausible to hypothesize that dendritic arborizations emerge from stochastic behavior of growth cones. A crucial test for this hypothesis is to show that the characteristic variations in dendritic morphologies can be reproduced by a process of random branching. This study concentrates on the variation in the number of segments and their connectivity patterns in the trees. Metrical properties will be ignored and dendrites are reduced to their skeleton of segments and bifurcation points.

Keywords

Bifurcation Point Growth Cone Dendritic Tree Connectivity Pattern Terminal Segment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Jaap van Pelt
    • 1
  • Alexander E. Dityatev
    • 2
  • Andreas Schierwagen
    • 3
  1. 1.Netherlands Institute for Brain ResearchAmsterdamThe Netherlands
  2. 2.Molecular Neurobiology CenterUniversity of HamburgHamburgGermany
  3. 3.Department of InformaticsUniversity of LeipzigLeipzigGermany

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