Browsing Research publications by Author "Rust, A.G."
Now showing items 1-20 of 29
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Artificial evolution: modelling the development of the retina
Rust, A.G.; Adams, R.G.; George, S.; Bolouri, H. (University of Hertfordshire, 1996)The evolution of neural systems relies on the repeated modification of developmental programmes contained within genes. This paper proposes that to efficiently investigate artificial evolution, developmental processes must ... -
Combining experts in order to identify binding sites in genomic data
Rezwan, F.; Sun, Yi.; Robinson, M.; Adams, R.G.; Rust, A.G.; Davey, N. (2008)The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ... -
Combining experts in order to identify binding sites in yeast and mouse genomic data
Robinson, M.; Gonzalez Castellano, C.; Rezwan, F.; Adams, R.G.; Davey, N.; Rust, A.G.; Sun, Yi. (2008)The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ... -
Design of spatially extended neural networks for specific applications
Adams, Roderick; te Boekhorst, Rene; Rust, A.G.; Kaye, Paul H.; Schilstra, M. (Institute of Electrical and Electronics Engineers (IEEE), 2004)The processes and mechanisms of biological neural development provide many powerful insights for the creation of artificial neural systems. Biological neural systems are, in general, much more effective in carrying out ... -
Developmental artificial neural networks for shape recognition: a model of the retina
Rust, A.G.; George, S.; Bolouri, H.; Adams, R.G. (University of Hertfordshire, 1996)There has been recent interest in mimicking the self-organising processes of biological development to design artificial neural networks. An a priori decision must however be made as to the degree of biological detail ... -
Developmental evolution of an edge detecting retina
Rust, A.G.; Adams, R.G.; George, S.; Bolouri, H. (Springer Nature, 1998) -
Developmental evolution of dendritic morphology in a multi-compartmental neuron model
Rust, A.G.; Adams, R.G. (IEE, 1999)Through the use of a multi-compartmental neuron simulation, Mainen and Sejnowski demonstrated that spike generation in neurons is a function of their dendritic structure [l]. In this paper we investigate the determination ... -
Developmental neural networks for shape recognition: motivation and review
Rust, A.G.; Bolouri, H. (University of Hertfordshire, 1996)Artificial Neural Networks (ANNs) are widely exploited in Artificial Intelligence applications. However, at present, there is a wide gap in functionality between artificial and biological neural systems. Appropriate neuron ... -
Effect of using varying negative examples in transcription factor binding site predictions
Rezwan, Faisal; Sun, Yi; Davey, N.; Adams, Roderick; Rust, A.G.; Robinson, M. (2011)Identifying transcription factor binding sites computationally is a hard problem as it produces many false predictions. Combining the predictions from existing predictors can improve the overall predictions by using ... -
Evolution of developmental ontogeny for robustly reproducible phenotypes
Rust, A.G.; Adams, R.G.; George, S.; Bolouri, H. (University of Hertfordshire, 1998)Development has been used by a number of researchers as an efficient means of nonlinearly decoding genetic information is evolutionary systems. We show that developmental routines which do not utilise cell-cell interactions ... -
Evolutionary neural topiary: growing and sculpting artifical neurons to order
Rust, A.G.; Adams, R.G.; Bolouri, H. (2000) -
Evolving computational neural systems using synthetic developmental mechanisms
Adams, R.G.; Rust, A.G.; Schilstra, M.; Bolouri, H. (Elsevier, 2003)Biological development is highly complex, beginning with an egg and resulting in a complete living organism (Purves and Lichtman, 1985). Development is essentially sequential, establishing a gross structure which becomes ... -
A Finite State Automation Model for Multi-Neuron Simulations
Schilstra, M.; Rust, A.G.; Adams, R.G.; Bolouri, H. (2002) -
A Genomic Regulatory Network for Development
Davidson, E.H.; Rast, J.P.; Oliveri, P.; Ransick, A.; Calestani, C.; Yuh, C.H.; Minokawa, T.; Amore, G.; Hinman, V.; Arenas-Mena, C.; Otim, A.; Brown, C.T.; Livi, C.B.; Lee, P.Y.; Revilla, R.; Rust, A.G.; Pan, Z.; Schilstra, M.; Clarke, P.J.C.; Arnone, M.I.; Rowen, L.; Cameron, R.A.; McClay, D.R.; Hood, L.; Bolouri, H. (2002)Development of the body plan is controlled by large networks of regulatory genes. A gene regulatory network that controls the specification of endoderm and mesoderm in the sea urchin embryo is summarized here. The network ... -
Image redundancy reduction for neural network classification using discrete cosine transforms
Pan, Z.; Rust, A.G.; Bolouri, H. (2000)High information redundancy and strong correlations in face images result in inefficiencies when such images are used directly in recognition tasks. In this paper, discrete cosine transforms (DCT) are used to reduce image ... -
Image redundancy reduction for neural network classification using discrete cosine transforms
Pan, Z.; Rust, A.G.; Bolouri, H. (Institute of Electrical and Electronics Engineers (IEEE), 2000)High information redundancy and strong correlations in face images result in inefficiencies when such images are used directly in recognition tasks. In this paper, discrete cosine transforms (DCT) are used to reduce image ... -
Integrating genomic binding site predictions using real-valued meta classifiers
Sun, Yi.; Robinson, M.; Adams, R.G.; Kaye, Paul H.; Te Boekhorst, R.; Rust, A.G.; Davey, N. (2009)Currently the best algorithms for predicting transcription factor binding sites in DNA sequences are severely limited in accuracy. There is good reason to believe that predictions from different classes of algorithms could ... -
Molecular self-organisation in a developmental model for the evolution of large-scale artificial neural networks
Bolouri, H.; Adams, R.G.; George, S.; Rust, A.G. (1998)We argue that molecular self-organisation during embryonic development allows evolution to perform highly nonlinear combinatorial optimisation. A structured approach to architectural optimisation of large-scale Artificial ... -
New Computational Approaches for Analysis of cis-Regulatory Networks
Brown, C.T.; Rust, A.G.; Clarke, P.J.C.; Pan, Z.; Schilstra, M.; De Buysscher, T.; Griffin, G.; Wold, B.J.; Cameron, R.A.; Davidson, E.H.; Bolouri, H. (2002) -
Predicting Binding Sites in the Mouse Genome
Sun, Yi.; Robinson, M.; Adams, R.G.; Davey, N.; Rust, A.G. (Institute of Electrical and Electronics Engineers (IEEE), 2007)