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All Outputs (5)

The classification of minor gait alterations using wearable sensors and deep learning (2019)
Journal Article
Turner, A., & Hayes, S. (2019). The classification of minor gait alterations using wearable sensors and deep learning. IEEE transactions on bio-medical engineering / Bio-medical Engineering Group, 66(11), 3136-3145. https://doi.org/10.1109/TBME.2019.2900863

Objective: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a... Read More about The classification of minor gait alterations using wearable sensors and deep learning.

Evolutionary acquisition of complex traits in artificial epigenetic networks (2018)
Journal Article
Turner, A., Tyrrell, A., Trefzer, M., & Lones, M. (2019). Evolutionary acquisition of complex traits in artificial epigenetic networks. BioSystems, 176, 17-26. https://doi.org/10.1016/j.biosystems.2018.12.001

How complex traits arise within organisms over evolutionary time is an important question that has relevance both to the understanding of biological systems and to the design of bio-inspired computing systems. This paper investigates the process of a... Read More about Evolutionary acquisition of complex traits in artificial epigenetic networks.

Transparency Of Execution Using Epigenetic Networks (2017)
Conference Proceeding
Dethlefs, N., & Turner, A. (2017). Transparency Of Execution Using Epigenetic Networks. In C. Knibbe, G. Beslon, D. Parsons, D. Misevic, J. Rouzaud-Cornabas, N. Bredeche, …H. Soula (Eds.), Proceedings of the 14th European Conference on Artificial Life, ECAL 2017 (404-411). https://doi.org/10.1162/isal_a_068

This paper describes how the recurrent connectionist architecture epiNet, which is capable of dynamically modifying its topology, is able to provide a form of transparent execution. EpiNet, which is inspired by eukaryotic gene regulation in nature, i... Read More about Transparency Of Execution Using Epigenetic Networks.

Artificial epigenetic networks: automatic decomposition of dynamical control tasks using topological self-modification (2017)
Journal Article
Turner, A. P., Caves, L. S. D., Stepney, S., Tyrrell, A. M., & Lones, M. A. (2017). Artificial epigenetic networks: automatic decomposition of dynamical control tasks using topological self-modification. IEEE Transactions on Neural Networks and Learning Systems, 28(1), 218-230. https://doi.org/10.1109/TNNLS.2015.2497142

This paper describes the artificial epigenetic network, a recurrent connectionist architecture that is able to dynamically modify its topology in order to automatically decompose and solve dynamical problems. The approach is motivated by the behavior... Read More about Artificial epigenetic networks: automatic decomposition of dynamical control tasks using topological self-modification.

Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease (2016)
Journal Article
Turner, A. P., Lones, M. A., Trefzer, M. A., Smith, S. L., Jamieson, S., Alty, J. E., …Tyrrell, A. M. (2016). Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease. BioSystems, 146, 35-42. https://doi.org/10.1016/j.biosystems.2016.05.005

© 2016 The Author(s) Levodopa is a drug that is commonly used to treat movement disorders associated with Parkinson's disease. Its dosage requires careful monitoring, since the required amount changes over time, and excess dosage can lead to muscle s... Read More about Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease.