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

TY - CONF

T1 - Modelling Epigenetic Mechanisms to Capture Dynamical Topological Morphology : Applications in Edge Detection

AU - Turner, Alexander Phillip

AU - Trefzer, Martin Albrecht

AU - Tyrrell, Andy

PY - 2015/12/10

Y1 - 2015/12/10

N2 - 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 dynamicalsystems analysis.

AB - 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 dynamicalsystems analysis.

M3 - Paper

ER -