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

By the same authors

Using Epigenetic Networks for the Analysis of Movement Associated with Levodopa Therapy for Parkinson's Disease
Turner, A. P., Lones, M. A., Trefzer, M. A., Smith, S. L., Jamieson, S., Alty, J. E., Cosgrove, J. S. & Tyrrell, A. M., 24 Jun 2016
Article in Biosystems
Evolving efficient solutions to complex problems using the Artificial Epigenetic Network
Turner, A. P., Trefzer, M. A., Lones, M. A. & Tyrrell, A., 2015, Information Processing in Cells and Tissues: 10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings. Lones, M., Tyrrell, A., Smith, S. & Fogel, G. (eds.). Springer, p. 153-165 (Lecture Notes in Computer Science; vol. 9303).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Evolutionary acquisition of complex traits in artificial epigenetic networks
Turner, A., Tyrrell, A. M., Trefzer, M. A. & Lones, M., Feb 2019
Article in Biosystems
A Novel Multi-objective Optimisation Algorithm for Routability and Timing Driven Circuit Clustering on FPGAs
Wang, Y., Trefzer, M. A., Bale, S. J., Walker, J. A. & Tyrrell, A. M., 17 Dec 2018
Article in IET Computers and Digital Techniques
Towards a Bioelectronic Computer: A Theoretical Study of a Multi-Layer Biomolecular Computing System That Can Process Electronic Inputs
Dunn, K. E., Trefzer, M. A., Johnson, S. D. & Tyrrell, A. M., 4 Sep 2018
Article in International Journal of Molecular Sciences

Research output: Contribution to conference › Paper

Author(s)

Department/unit(s)

Electronic Engineering

Publication details

Date	Accepted/In press - 10 Dec 2015
Original language	English

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.

Projects

Bio-inspired Adaptive Architectures and Systems
Project: Research project (funded) › Research

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations

York staff: edit these data

The York Research Database

By the same authors

Using Epigenetic Networks for the Analysis of Movement Associated with Levodopa Therapy for Parkinson's Disease

Evolving efficient solutions to complex problems using the Artificial Epigenetic Network

Evolutionary acquisition of complex traits in artificial epigenetic networks

A Novel Multi-objective Optimisation Algorithm for Routability and Timing Driven Circuit Clustering on FPGAs

Towards a Bioelectronic Computer: A Theoretical Study of a Multi-Layer Biomolecular Computing System That Can Process Electronic Inputs