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Browsing by Author "Adams, Roderick"
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Adaptive electrical signal post-processing with varying representations in optical communication systems
Hunt, Stephen; Sun, Yi; Shafarenko, Alex; Adams, Roderick; Davey, N.; Slater, Brendan; Bhamber, Ranjeet; Boscolo, Sonia; Turitsyn, Sergei K. (2009)Improving bit error rates in optical communication systems is a difficult and important problem. Error detection and correction must take place at: high speed, and be extremely accurate. Also, different communication ... -
The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes
Moss, Gary; Sun, Yi; Wilkinson, Simon C.; Davey, N.; Adams, Roderick; Martin, Gary P.; Prapopopolou, M.; Brown, Marc (2011-11)Objectives: Predicting the rate of percutaneous absorption of a drug is an important issue with the increasing use of the skin as a means of moderating and controlling drug delivery. One key feature of this problem domain ... -
The application of feature selection to the development of Gaussian process models for percutaneous absorption.
Lam, L.T.; Sun, Yi; Davey, N.; Adams, Roderick; Prapopoulou, M.; Brown, Marc; Moss, Gary (2010)Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ... -
The application of Gaussian processes in the prediction of percutaneous absorption
Moss, Gary P.; Sun, Yi; Prapopoulou, Maria; Davey, N.; Adams, Roderick; Pugh, W. John; Brown, Marc (2009-09)Objectives The aim was to assess mathematically the nature of a skin permeability dataset and to determine the utility of Gaussian processes in developing a predictive model for skin permeability, comparing it with existing ... -
The combined effect of homeostatic structural and inhibitory synaptic plasticity during the repair of balanced networks following deafferentation
Sinha, Ankur; Metzner, Christoph; Adams, Roderick; Davey, Neil; Schmuker, Michael; Steuber, Volker (2018-10-29)Although a number of previous experimental and theoretical studies have investigated network reorganisation following deafferentation down to the level of synaptic elements [4], the mechanisms that are involved in this ... -
Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons
Luthman, Johannes; Adams, Roderick; Davey, N.; Maex, Reinoud; Steuber, Volker (BioMed Central (BMC), 2009)The recognition of parallel fibre (PF) input patterns by Purkinje cells has been suggested to underlie cerebellar learning [1,2]. A candidate mechanism for the recognition of PF patterns is the long-term depression (LTD) ... -
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 ... -
Development of a Gaussian Process – Feature Selection Model to Characterise (poly)dimethylsiloxane (Silastic®) Membrane Permeation
Sun, Yi; Hewitt, Mark; Wilkinson, Simon C; Davey, Neil; Adams, Roderick; Gullick, Darren; Moss, Gary (2020-07)Objectives The current study aims to determine the effect of physicochemical descriptor selection on models of polydimethylsiloxane permeation. Methods 2,942 descriptors were calculated for a dataset of 77 chemicals. Data ... -
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 Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping
Alva, Parimala; De Sousa, Giseli; Torben-Nielsen, Ben; Maex, Reinoud; Adams, Roderick; Davey, N.; Steuber, Volker (Springer Nature, 2013)In this study, two morphological representations in the genotype, a deterministic and a nondeterministic representation, are compared when evolving a neuronal morphology for a pattern recognition task. The deterministic ... -
Growth rules for repair of asynchronous irregular network models following peripheral lesions
Sinha, Ankur; Metzner, Christoph; Davey, Neil; Adams, Roderick; Schmuker, Michael; Steuber, Volker (2019-11-14)Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity after disruptive changes to synaptic inputs. One of these homeostatic mechanisms, structural plasticity, can restore activity ... -
Growth Rules for the Repair of Asynchronous Irregular Neuronal Networks after Peripheral Lesions
Sinha, Ankur; Metzner, Christoph; Davey, Neil; Adams, Roderick; Schmuker, Michael; Steuber, Volker (2021-06-01)Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity. One of these, homeostatic structural plasticity, has been reported to restore activity in networks disrupted by peripheral ... -
The importance of hyperparameters selection within small datasets
Ashrafi, Parivash; Sun, Yi; Davey, Neil; Adams, Roderick; Brown, Marc; Prapopoulou, Maria; Moss, Gary (Institute of Electrical and Electronics Engineers (IEEE), 2015-10-01)Gaussian Process is a Machine Learning technique that has been applied to the analysis of percutaneous absorption of chemicals through human skin. The normal, automatic method of setting the hyperparameters associated with ... -
Linear Support Vector Machines for Error Correction in Optical Data Transmission
Metaxas, A.; Redyuk, A.; Sun, Yi; Shafarenko, Alex; Davey, N.; Adams, Roderick (Springer Nature, 2013)Reduction of bit error rates in optical transmission systems is an important task that is difficult to achieve. As speeds increase, the difficulty in reducing bit error rates also increases. Channels have differing ... -
Model fitting for small skin permeability data sets: hyperparameter optimisation in Gaussian Process Regression
Ashrafi, Parivash; Sun, Yi; Davey, Neil; Adams, Roderick; Wilkinson, Simon C; Moss, Gary Patrick (2018-02-14)Objectives The aim of this study was to investigate how to improve predictions from Gaussian Process models by optimising the model hyperparameters. Methods Optimisation methods, including Grid Search, Conjugate Gradient, ... -
Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise
Safaryan, Karen; Maex, Reinoud; Davey, Neil; Adams, Roderick; Steuber, Volker (2017-04-20)Many forms of synaptic plasticity require the local production of volatile or rapidly diffusing substances such as nitric oxide. The nonspecific plasticity these neuromodulators may induce at neighboring non-active synapses ... -
Optimising a hierarchical neural clusterer applied to large gene sequence data sets
Adams, Roderick; Davey, N.; Kaye, Paul H.; Pensuwon, W. (Institute of Electrical and Electronics Engineers (IEEE), 2004)Evolutionary Algorithms have been used to optimise the performance of neural network models before. This paper uses a hybrid approach by permanently attaching a Genetic Algorithm (GA) to a hierarchical clusterer to investigate ... -
Optimization of input parameters to a CN neuron model to simulate its activity during and between epileptic absence seizures
Alva, Parimala; Kros, Lieke; Eelkman Rooda, Oscar; De Zeeuw, C.I.; Adams, Roderick; Davey, N.; Hoebeek, F.E.; Steuber, Volker (2015-12-04) -
The performance pf sparsley-connected 2D associative memory models with non-random images
Calcraft, L.; Adams, Roderick; Davey, N. (World Scientific Publishing, 2009)A sparsely connected associative memory model is built with small-world connectivity, and trained on both random, and real-world image sets. It is found that pattern recall using real-world images can vary significantly ... -
Prediction of skin penetration using machine learning methods
Sun, Yi; Moss, Gary; Prapopoulou, M.; Adams, Roderick; Brown, Marc; Davey, N. (Institute of Electrical and Electronics Engineers (IEEE), 2008)Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug delivery. In this work, we applyK-nearest-neighbour ...