The combinatorics of neurite self-avoidance

Forbes, Elizabeth M., Hunt, Jonathan J. and Goodhill, Geoffrey J. (2011) The combinatorics of neurite self-avoidance. Neural Computation, 23 11: 2746-2769. doi:10.1162/NECO_a_00186

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Author Forbes, Elizabeth M.
Hunt, Jonathan J.
Goodhill, Geoffrey J.
Title The combinatorics of neurite self-avoidance
Journal name Neural Computation   Check publisher's open access policy
ISSN 0899-7667
Publication date 2011-11
Sub-type Article (original research)
DOI 10.1162/NECO_a_00186
Open Access Status File (Publisher version)
Volume 23
Issue 11
Start page 2746
End page 2769
Total pages 24
Place of publication Cambridge, MA, United States
Publisher M I T Press
Collection year 2012
Language eng
Formatted abstract
During neural development in Drosophila, the ability of neurite branches to recognize whether they are from the same or different neurons depends crucially on the molecule Dscam1. In particular, this recognition depends on the stochastic acquisition of a unique combination of Dscam1 isoforms out of a large set of possible isoforms. To properly interpret these findings, it is crucial to understand the combinatorics involved, which has previously been attempted only using stochastic simulations for some specific parameter combinations. Here we present closed-form solutions for the general case. These reveal the relationships among the key variables and how these constrain possible biological scenarios.
Keyword Axon guidance
Growth cone
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Queensland Brain Institute Publications
Official 2012 Collection
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Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
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Created: Sun, 23 Oct 2011, 00:03:45 EST by System User on behalf of Queensland Brain Institute