Percolation model of axon guidance

Gaetano L. Aiello, Valentino Romano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the developing brain neurons interconnect via the action of molecules that guide the axon to its targets, thus allowing the proper wiring scheme to emerge. It is not fully understood whether the underlying mechanism is wholly deterministic or not. The existence of "choice-points" and "decision-regions" suggests that options are available to the growth cone. The guidance mechanism is here simulated by equating the axonal trajectory to that of a trickle of ground water sipping through a bed of sand. Decision regions are implemented by assigning each site of the percolation lattice a set of probabilities ruling the possible moves.

Original languageEnglish
Title of host publicationESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Pages65-70
Number of pages6
Publication statusPublished - 2013
Event21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013 - Bruges, Belgium
Duration: Apr 24 2013Apr 26 2013

Other

Other21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013
Country/TerritoryBelgium
CityBruges
Period4/24/134/26/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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