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
Link To Document :
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