• DocumentCode
    3726623
  • Title

    Modelling Epigenetic Mechanisms to Capture Dynamical Topological Morphology: Applications in Edge Detection

  • Author

    Alexander P. Turner;Martin A. Trefzer;Andy M. Tyrrell

  • Author_Institution
    Dept. of Electron., Univ. of York, York, UK
  • fYear
    2015
  • Firstpage
    1229
  • Lastpage
    1235
  • Abstract
    EpiNet is a novel computational model which is able to perform dynamic topological modification autonomously throughout execution. This approach is inspired by the functionality of eukaryotic gene regulation, specifically that of chromatin modification which is able to modify its structure dynamically, altering the structure of gene regulatory networks. In this work we utilise the dynamic properties of epiNet when applied to two different methods of edge detection, and analyse these networks and their dynamical properties via structural and dynamical systems analysis.
  • Keywords
    "Proteins","Image edge detection","DNA","Genomics","Bioinformatics","Field programmable gate arrays","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, 2015 IEEE Symposium Series on
  • Print_ISBN
    978-1-4799-7560-0
  • Type

    conf

  • DOI
    10.1109/SSCI.2015.176
  • Filename
    7376752