Author
Number of items: 193.
Growth Rules for the Repair of Asynchronous Irregular Neuronal Networks after Peripheral Lesions. (2021)
Ankur Sinha,
Christoph Metzner,
Neil Davey,
Roderick Adams,
Michael Schmuker
and
Volker Steuber
Growth rules for repair of asynchronous irregular network models following peripheral lesions. (2019)
Ankur Sinha,
Christoph Metzner,
Neil Davey,
Roderick Adams,
Michael Schmuker
and
Volker Steuber
Phase dependence of the termination of absence seizures by cerebellar input to thalamocortical networks. (2019)
Iuliia Goncharenko,
Lieke Kros,
Reinoud Maex,
Neil Davey,
Christoph Metzner,
C.I. De Zeeuw,
F.E. Hoebeek
and
Volker Steuber
The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability. (2019)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Simon Charles Wilkinson
and
Gary Moss
Using cerebellar Purkinje cell models at different levels of abstraction as a read-out mechanism for pattern recognition in a biologically detailed granular layer model. (2019)
Ohki Katakura,
Reinoud Maex,
Neil Davey,
Shabnam Kadir
and
Volker Steuber
Proceedings of Abstracts Engineering and Computer Science Research Conference 2019. (2019)
Richard Nwawe,
Marzio Grasso,
Yong Kang CHEN,
Jan Klusak,
Vincenzo Rosiello,
Nathan Counsell,
Mohammad Reza Herfatmanesh,
Helen Partou,
Catherine Menon,
Trevor Barker,
Vito Veneziano,
Raimund Kirner,
Olga Tveretina,
Alok Verma,
Peter Lane,
Mariana Lilley,
Paul Canoville,
Matthew Robinson,
Brian Crook,
Samantha Hall,
Richard Kaye,
Ian Johnston,
Daniel McCluskey,
Mark Tracey,
Ian Munro,
Yuan Wang,
Bjorn Suckow,
Ingo Klaholz,
Damien Drix,
Verena Vanessa Hafner,
Michael Schmuker,
Ankur Sinha,
Christoph Metzner,
Neil Davey,
Roderick Adams,
Volker Steuber,
Rebecca Miko,
Gilles Toffe,
Guogang Ren,
Diogo Montalvão,
Sikiru O. Ismail,
James Newman,
Hom Dhakal,
Funlade Sunmola,
Deepak Panday,
Na Helian,
Daerefa-a Amafabia,
Opukuro David-West,
George Haritos,
Pascal Schirmer,
Iosif Mporas,
Grigorios Skaltsas,
Rana Siadati,
Paul Wernick,
Samuel Sutton,
Himayasri Rao Lekkala,
Paul Sayers,
Imran Khan,
Lola Cañamero,
Eheda Hassan,
Mouloud Denai,
Georgios Pissanidis,
Julia Goncharenko,
Maria Schilstra,
Nathan Beka,
Rene te Boekhorst,
Agnes Bonivart,
Chrystopher Nehaniv,
Shabnam Kadir,
Ronakben Bhavsar,
Yi Sun,
David Mayor,
Tony Steffert,
Yong Kang CHEN,
Andreas Chrysanthou,
Ian Johnston,
Raimund Kirner,
Pandelis Kourtessis,
Daniel McCluskey,
Daniel Polani,
Volker Steuber
and
Yichuang Sun
The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes. (2019)
Ed Wakelam,
Amanda Jefferies,
Neil Davey
and
Yi Sun
Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. (2018)
Ronakben Bhavsar,
Neil Davey,
Na Helian,
Yi Sun,
Tony Steffert
and
David Mayor
Time Series Analysis using Embedding Dimension on Heart Rate Variability. (2018)
Ronakben Bhavsar,
Neil Davey,
Na Helian,
Yi Sun,
Tony Steffert
and
David Mayor
The combined effect of homeostatic structural and inhibitory synaptic plasticity during the repair of balanced networks following deafferentation. (2018)
Ankur Sinha,
Christoph Metzner,
Roderick Adams,
Neil Davey,
Michael Schmuker
and
Volker Steuber
Estimation of microphysical parameters of atmospheric pollution using machine learning. (2018)
C. Llerena,
D. Müller,
R. Adams,
N. Davey
and
Y. Sun
Model fitting for small skin permeability data sets: hyperparameter optimisation in Gaussian Process Regression. (2018)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Roderick Adams,
Simon C Wilkinson
and
Gary Patrick Moss
An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals : The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain. (2018)
Ronakben Bhavsar,
Neil Davey,
Yi Sun
and
Na Helian
The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance. (2018)
Ronakben Bhavsar,
Yi Sun,
Na Helian,
Neil Davey,
David Mayor
and
Tony Steffert
Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data. (2017)
Emmanuel Oluwatobi Salawu,
Evelyn Hesse,
Chris Stopford,
Neil Davey
and
Yi Sun
An automatic taxonomy of galaxy morphology using unsupervised machine learning. (2017)
Alex Hocking,
James E. Geach,
Yi Sun
and
Neil Davey
Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise. (2017)
Karen Safaryan,
Reinoud Maex,
Neil Davey,
Roderick Adams
and
Volker Steuber
Input-location dependent gain modulation in cerebellar nucleus neurons. (2016)
Maria Psarrou,
Maria Schilstra,
Neil Davey,
Ben Torben-Nielsen
and
Volker Steuber
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The role of cerebellar short-term synaptic plasticity in the pathology and medication of downbeat nystagmus. (2016)
Julia Goncharenko,
Neil Davey,
Maria Schilstra
and
Volker Steuber
The Mining and Analysis of Data with Mixed Attribute Types. (2016)
Ed Wakelam,
Neil Davey,
Yi Sun,
Amanda Jefferies,
Parimala Alva
and
Alex Hocking
Support vector regression to estimate the permeability enhancement of potential transdermal enhancers. (2016)
Alpa Shah,
Yi Sun,
Roderick Adams,
Neil Davey,
Simon Charles Wilkinson
and
Gary Patrick Joseph Moss
Evolving small spiking neural networks to work as state machines for temporal pattern recognition. (2015)
Borys Wrobel,
Ahmed Abdelmotaleb,
N. Davey
and
Volker Steuber
Structural plasticity and associative memory in balanced neural networks with spike-time dependent inhibitory plasticity. (2015)
Ankur Sinha,
N. Davey,
Roderick Adams
and
Volker Steuber
Using transfer entropy to study synaptic integration in Purkinje cells. (2015)
Kirsty Kidd,
James M. Bower,
D. Polani,
N. Davey
and
Volker Steuber
Optimization of input parameters to a CN neuron model to simulate its activity during and between epileptic absence seizures. (2015)
Parimala Alva,
Lieke Kros,
Oscar Eelkman Rooda,
C.I. De Zeeuw,
Roderick Adams,
N. Davey,
F.E. Hoebeek
and
Volker Steuber
The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems. (2015)
Edward Wakelam,
Amanda Jefferies,
N. Davey
and
Yi Sun
Cerebellar output controls generalized spike-and-wave discharge occurence. (2015)
Lieke Kros,
Oscar Eelkman Rooda,
Jochen Spanke,
Parimala Alva,
Marijn van Dongen,
Athanasios Karapatis,
Else Tolner,
Christos Strydis,
N. Davey,
Beerend Winkelman,
Mario Negrello,
Wouter Serdijn,
Volker Steuber,
Arn van den Maagdenberg,
Chris I. De Zeeuw
and
Freek E. Hoebeek
Dendritic Morphology Predicts Pattern Recognition Performance in Multi-compartmental Model Neurons with and without Active Conductances. (2015)
Giseli De Sousa,
Reinoud Maex,
R.G. Adams,
N. Davey
and
Volker Steuber
The application of machine learning to the modelling of percutaneous absorption: An overview and guide. (2015)
P. Ashrafi,
G. P. Moss,
S. C. Wilkinson,
N. Davey
and
Yi Sun
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Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei. (2014)
Parimala Alva,
Lieke Kroos,
Oscar Eelkman Rooda,
Chris I. De Zeeuw,
R.G. Adams,
N. Davey,
Freek E. Hoebeek
and
Volker Steuber
Determinants of gain modulation enabled by short-term depression at an inhibitory cerebellar synapse. (2014)
Dimitris Bampasakis,
Reinoud Maex,
Neil Davey
and
Volker Steuber
Information theoretical analysis of differences in information transmission in cerebellar Purkinje cells across species. (2014)
Kirsty Kidd,
James M. Bower,
D. Polani,
N. Davey
and
Volker Steuber
Evolving spiking neural networks for temporal pattern recognition in the presence of noise. (2014)
Ahmed Abdelmotaleb,
N. Davey,
M. Schilstra,
Volker Steuber
and
Borys Wrobel
Short-term depression of inhibitory Purkinje cell synapses enhances gain modulation in the cerebellar nuclei. (2013)
Dimitris Bampasakis,
Reinoud Maex,
N. Davey
and
Volker Steuber
Characterising the performance of balanced memory networks. (2013)
A. Metaxas,
Reinoud Maex,
R.G. Adams,
Volker Steuber
and
N. Davey
From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition. (2013)
Ahmed Abdelmotaleb,
M. Schilstra,
N. Davey,
Volker Steuber
and
Borys Wrobel
Linear Support Vector Machines for Error Correction in Optical Data Transmission. (2013)
A. Metaxas,
A. Redyuk,
Yi Sun,
Alex Shafarenko,
N. Davey
and
Roderick Adams
The implications of evolutionary changes in the dendritic morphology of cerebellar Purkinje cells for information processing. (2013)
Kirsty Kidd,
Hugo Cornelis,
James M. Bower,
D. Polani,
N. Davey
and
Volker Steuber
A potential role for the cerebellar nuclei in absence seizures. (2013)
Parimala Alva,
Lieke Kroos,
Reinoud Maex,
Chris I. De Zeeuw,
R.G. Adams,
N. Davey,
Volker Steuber
and
Freek E. Hoebeek
The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers. (2012)
Gary Moss,
A.J. Shah,
R.G. Adams,
N. Davey,
Y. Sun,
S.C. Wilkinson
and
W.J. Pugh
picture_as_pdf
Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes. (2012)
A. Metaxas,
Reinoud Maex,
R.G. Adams,
Volker Steuber
and
N. Davey
The application of stochastic machine learning methods in the prediction of skin penetration. (2011)
Y. Sun,
Marc Brown,
M. Prapopoulou,
N. Davey,
R. G. Adams
and
G. P. Moss
The Beneficial Effects of Non-specific Synaptic Plasticity for Pattern Recognition in Auto-associative Memory. (2011)
L. Calcraft,
Reinoud Maex,
N. Davey
and
Volker Steuber
Categorizing facial expressions : a comparison of computational models. (2011)
Aruna Shenoy,
Susan Anthony,
Raymond Frank
and
N. Davey
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Clustering predicts memory performance in networks of spiking and non-spiking neurons. (2011)
W. Chen,
R. Maex,
R.G. Adams,
Volker Steuber,
L. Calcraft
and
N. Davey
picture_as_pdf
Effect of using varying negative examples in transcription factor binding site predictions. (2011)
Faisal Rezwan,
Yi Sun,
N. Davey,
Roderick Adams,
A.G. Rust
and
M. Robinson
picture_as_pdf
Further thoughts on precision. (2011)
D. Gray,
David Bowes,
N. Davey,
Yi Sun
and
B. Christianson
Non-specific LTD at parallel fibre - Purkinje cell synapses in cerebellar cortex provides robustness against local spatial noise during pattern recognition. (2011)
Karen Safaryan,
Reinoud Maex,
R.G. Adams,
N. Davey
and
Volker Steuber
STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron. (2011)
Johannes Luthman,
Freek E Hoebeek,
Reinoud Maex,
N. Davey,
Roderick Adams,
Chris I De Zeeuw
and
Volker Steuber
The effect of dendritic morphology on pattern recognition in the presence of active conductances. (2011)
Giseli De Sousa,
Reinoud Maex,
R.G. Adams,
N. Davey
and
Volker Steuber
The misuse of the NASA metrics data program data sets for automated software defect prediction. (2011)
D. Gray,
David Bowes,
N. Davey,
Yi Sun
and
B. Christianson
picture_as_pdf
Evolution of bistable dynamics in spiking neural controllers for agents performing olfactory attraction and aversion. (2010)
Nicolas Oros,
Volker Steuber,
N. Davey,
Lola Cañamero
and
R.G. Adams
Optimization of neuronal morphologies for pattern recognition. (2010)
Giseli De Sousa,
Reinoud Maex,
R.G. Adams,
N. Davey
and
Volker Steuber
Photometric redshift estimation using Gaussian processes. (2010)
D. Bonfield,
Yi Sun,
N. Davey,
M.J. Jarvis,
F.B. Abdalla,
M. Banerji
and
R.G. Adams
picture_as_pdf
Software defect prediction using static code metrics underestimates defect-proneness. (2010)
David Gray,
David Bowes,
N. Davey,
Yi Sun
and
B. Christianson
Using randomised vectors in transcription factor binding site predictions. (2010)
F. Rezwan,
Yi. Sun,
N. Davey,
R.G. Adams,
A.G. Rust
and
M. Robinson
The application of feature selection to the development of Gaussian process models for percutaneous absorption. (2010)
L.T. Lam,
Yi Sun,
N. Davey,
Roderick Adams,
M. Prapopoulou,
Marc Brown
and
Gary Moss
picture_as_pdf
The effect of non-specific LTD on pattern recognition in cerebellar Purkinje cells. (2010)
Karen Safaryan,
Reinoud Maex,
R.G. Adams,
N. Davey
and
Volker Steuber
Connection Strategies in Associative Memory Models. (2009)
W. Chen,
R. Maex,
R.G. Adams,
L. Calcraft,
Volker Steuber
and
N. Davey
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. (2009)
L. Calcraft,
R.G. Adams
and
N. Davey
Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons. (2009)
Johannes Luthman,
Roderick Adams,
N. Davey,
Reinoud Maex
and
Volker Steuber
Discriminating angry, happy and neutral facial expression : a comparison of computational models. (2009)
A. Shenoy,
S. Anthony,
R. Frank
and
N. Davey
picture_as_pdf
The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex. (2009)
G. de Sousa,
R.G. Adams,
N. Davey,
R. Maex
and
Volker Steuber
Evolution of bilateral symmetry in agents controlled by spiking neural networks. (2009)
N. Oros,
Volker Steuber,
N. Davey,
Lola Cañamero
and
R.G. Adams
picture_as_pdf
Integrating genomic binding site predictions using real-valued meta classifiers. (2009)
Yi. Sun,
M. Robinson,
R.G. Adams,
Paul H. Kaye,
R. Te Boekhorst,
A.G. Rust
and
N. Davey
Representation and classification of facial expression in a modular computational model. (2009)
A. Shenoy,
T.M. Gale,
N. Davey
and
R. Frank
Using a genetic algorithm to investigate efficient connectivity in associative memories. (2009)
R.G. Adams,
L. Calcraft
and
N. Davey
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Using pre and post-processing methods to improve binding site predictions. (2009)
Yi Sun,
C.G. Castellano,
M. Robinson,
R.G. Adams,
A.G. Rust
and
N. Davey
picture_as_pdf
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot. (2009)
D. Bowes,
R.G. Adams,
Lola Cañamero,
Volker Steuber
and
N. Davey
Adaptive Electrical Signal Post-Processing in Optical Communication Systems. (2008)
Yi. Sun,
A. Shafarenko,
R.G. Adams,
N. Davey,
B. Slater,
R. Bhamber,
S. Boscolo
and
S.K. Turitsyn
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. (2008)
N. Oros,
Volker Steuber,
N. Davey,
L. Canamero
and
R.G. Adams
Combining experts in order to identify binding sites in genomic data. (2008)
F. Rezwan,
Yi. Sun,
M. Robinson,
R.G. Adams,
A.G. Rust
and
N. Davey
Combining experts in order to identify binding sites in yeast and mouse genomic data. (2008)
M. Robinson,
C. Gonzalez Castellano,
F. Rezwan,
R.G. Adams,
N. Davey,
A.G. Rust
and
Yi. Sun
Connectivity graphs and the performance of sparse associative memory models. (2008)
W. Chen,
R.G. Adams,
L. Calcraft,
Volker Steuber
and
N. Davey
Determinants of pattern recognition by cerebellar Purkinje cells. (2008)
Giseli De Sousa,
R.G. Adams,
N. Davey
and
Volker Steuber
Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity. (2008)
L. Calcraft,
R.G. Adams
and
N. Davey
Encoding sensory information in spiking neural network for the control of autonomous agents. (2008)
N. Oros,
R.G. Adams,
N. Davey,
Lola Cañamero
and
Volker Steuber
Optimal noise in spiking neural networks for the detection of chemicals by simulated agents. (2008)
N. Oros,
Volker Steuber,
N. Davey,
Lola Cañamero
and
R.G. Adams
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. (2008)
Yi. Sun,
M. Robinson,
R.G. Adams,
A.G. Rust
and
N. Davey
Prediction of skin penetration using machine learning methods. (2008)
Yi Sun,
Gary Moss,
M. Prapopoulou,
Roderick Adams,
Marc Brown
and
N. Davey
picture_as_pdf
Receptor response and soma leakiness in a simulated spiking neural controller for a robot. (2008)
D. Bowes,
R.G. Adams,
L. Canamero,
Volker Steuber
and
N. Davey
Recognizing Facial Expressions : A Comparison of Computational Approaches. (2008)
A. Shenoy,
T.M. Gale,
N. Davey,
B. Christianson
and
R. Frank
picture_as_pdf
Using graph theoretic measures to predict the performance of associative memory models. (2008)
L. Calcraft,
R.G. Adams,
W. Chen
and
N. Davey
Comparing the performance of single-layer and two-layer support vector machines on face detection. (2007)
J.W. Han,
P.C.R. Lane,
N. Davey
and
Yi. Sun
Efficient architectures for sparsely-connected high capacity associative memory models. (2007)
L. Calcraft,
R.G. Adams
and
N. Davey
High capacity associative memory with bipolar and binary, biased patterns. (2007)
W. Chen,
R.G. Adams,
L. Calcraft,
N. Davey
and
Volker Steuber
Identifying binding sites in sequential genomic data. (2007)
M. Robinson,
C. Gonzalez Castellano,
R.G. Adams,
N. Davey
and
Yi. Sun
Optimal connection strategies in one- and two-dimensional associative memory models. (2007)
L. Calcraft,
R.G. Adams
and
N. Davey
Recognizing emotions by analyzing facial expressions. (2007)
A. Shenoy,
T.M. Gale,
R. Frank
and
N. Davey
Unsupervised Learning with Normalised Data and Non-Euclidean Norms. (2007)
K. Doherty,
R.G. Adams
and
N. Davey
Using real-valued meta classifiers to integrate and contextualize binding site predictions. (2007)
M. Robinson,
O. Sharabi,
Yi. Sun,
R.G. Adams,
R. Te Boekhorst,
A.G. Rust
and
N. Davey
Word Segmentation of Handwritten Text Using Supervised Classification Techniques. (2007)
Yi. Sun,
T. Butler,
A. Shafarenko,
R.G. Adams,
M.J. Loomes
and
N. Davey
Connectivity in real and evolved associative memories. (2006)
R.G. Adams,
L. Calcraft
and
N. Davey
Gaussian and Exponential Architectures in Small-World Associative Memories. (2006)
L. Calcraft,
R.G. Adams
and
N. Davey
High Capacity, Small World Associative Memory Models. (2006)
N. Davey,
L. Calcraft
and
R.G. Adams
High performance associative memory models with low wiring costs. (2006)
L. Calcraft,
R.G. Adams
and
N. Davey
Learning through experience: an emergent connectionist account of letter production behaviour. (2006)
F.M. Richardson,
N. Davey,
R.G. Adams
and
D.J. Done
Locally connected and small world associative memories in very large networks. (2006)
L. Calcraft,
R.G. Adams
and
N. Davey
Optimal dilution and high capacity associative memories. (2006)
S. Hunt,
N. Davey
and
R. Frank
Using Feature Selection Filtering Methods for Binding Site Predictions. (2006)
Yi. Sun,
M. Robinson,
R.G. Adams,
R. Te Boekhorst,
A.G. Rust
and
N. Davey
Using sampling methods to improve binding site predictions. (2006)
Yi. Sun,
M. Robinson,
R.G. Adams,
R. Te Boekhorst,
A.G. Rust
and
N. Davey
Analysis of Linear and Nonlinear dimensionality Reduction Methods for Gender Classification of Face Images. (2005)
S. Buchala,
N. Davey,
T.M. Gale
and
R. Frank
Associative Memories with Small World Connectivity. (2005)
N. Davey,
L. Calcraft,
B. Christianson
and
R.G. Adams
Comparing computational and human measures of visual similarity. (2005)
T.M. Gale,
Yi. Sun,
R.G. Adams
and
N. Davey
Evolving high capacity associative memories with efficient wiring. (2005)
R.G. Adams,
L. Calcraft
and
N. Davey
Global and Feature Based Gender Classification of Faces: A Comparison of Human Performance and Computational Models. (2005)
S. Buchala,
N. Davey,
T.M. Gale
and
R. Frank
Hierarchical growing neural gas. (2005)
K. Doherty,
R.G. Adams
and
N. Davey
Hierarchical topological clustering learns stock market sectors. (2005)
K. Doherty,
R.G. Adams,
N. Davey
and
W. Pensuwon
Principal component analysis of gender, ethnicity, age and identity of face images. (2005)
S. Buchala,
N. Davey,
T.M. Gale
and
R. Frank
The Role of Global and Feature Based Information in Gender Classification of Faces: A Comparison of Human Performance and Computational Models. (2005)
S. Buchala,
N. Davey,
T.M. Gale,
R. Frank
and
M.J. Loomes
TreeGNG - hierarchical topological clustering. (2005)
K. Doherty,
R.G. Adams
and
N. Davey
Using real-valued metaclassifiers to integrate binding site predictions. (2005)
Yi Sun,
M. Robinson,
Roderick Adams,
Paul H. Kaye,
A.G. Rust
and
N. Davey
High Capacity Recurrent Associative Memories. (2004)
N. Davey,
S. Hunt
and
R.G. Adams
High Capacity Associative Memories and Small World Networks. (2004)
N. Davey,
B. Christianson
and
R.G. Adams
Non-Euclidean Norms and Data Normalisation. (2004)
K. Doherty,
R.G. Adams
and
N. Davey
High Capacity Associative Memories and Connection Constraints. (2004)
N. Davey
and
R.G. Adams
Dimensionality reduction of face images for gender classification. (2004)
S. Buchala,
N. Davey,
R. Frank
and
T.M. Gale
Gender classification of face images: the role of global and feature-based information. (2004)
S. Buchala,
N. Davey,
R. Frank,
T.M. Gale,
M.J. Loomes
and
W. Kanakard
High Performance Associative Memories and Structured Weight Dilution. (2004)
S.P. Turvey,
S. Hunt,
N. Davey
and
R. Frank
High capacity associative memory models - binary and bipolar representation. (2004)
N. Davey,
R. Frank,
S. Hunt,
R.G. Adams
and
L. Calcraft
Identifying word boundaries in handwritten text. (2004)
Yi. Sun,
T. Butler,
A. Shafarenko,
M.J. Loomes,
R.G. Adams
and
N. Davey
Optimising a hierarchical neural clusterer applied to large gene sequence data sets. (2004)
Roderick Adams,
N. Davey,
Paul H. Kaye
and
W. Pensuwon
Segmenting hand written text using supervised classification techniques. (2004)
Yi. Sun,
T. Butler,
A. Shafarenko,
M.J. Loomes,
R.G. Adams
and
N. Davey
Structured connectivity in an associative memory model. (2004)
S.P. Turvey,
S. Hunt,
R. Frank,
R.G. Adams
and
N. Davey
An adaptive RBF network optimised using a genetic algorithm applied to rainfall forecasting. (2004)
C. Jareanpon,
W. Pensuwon,
R. Frank
and
N. Davey
How the constraints on English compound production might be learnt from the linguistic input : evidence from 4 connectionist models. (2003)
J. Hayes,
V. Murphy,
N. Davey
and
Pamela Smith
Input driven constraints on plurals in English noun-noun compounds. (2003)
J. Hayes,
V. Murphy,
N. Davey
and
Pamela Smith
A connectionist model of Spanish determiner production. (2003)
Pamela Smith,
A. Nix,
N. Davey,
S. Lopez Ornat
and
D.J. Messer
The influence of prior knowledge and related experience on generalisation performance in connectionist networks. (2003)
F.M. Richardson,
N. Davey,
L. Peters,
D.J. Done
and
S. Anthony
The Recognition and Analysis of Animate Objects using Neural Networks and Active Contour Models. (2002)
Ken Tabb,
N. Davey,
R.G. Adams
and
S. George
High capacity associative memories and stochasticity. (2002)
N. Davey
and
R.G. Adams
A Hybrid Detection and Classification System for Human Motion Analysis. (2002)
Ken Tabb,
N. Davey,
R.G. Adams
and
S. George
Non-random weight dilution in high performance associative memories. (2002)
S.P. Turvey,
S. Hunt,
N. Davey
and
R. Frank
Optimising a stochastic dynamic neural tree. (2002)
W. Pensuwon,
R.G. Adams
and
N. Davey
Stochastic dynamics and high capacity associative memories. (2002)
N. Davey
and
R.G. Adams
Why will rat's go where rats will not. (2002)
J. Hayes,
V. Murphy,
N. Davey,
Pamela Smith
and
L. Peters
The Analysis of the addition of Stochasticity to a Neural Tree Classifier. (2001)
W. Pensuwon,
R.G. Adams
and
N. Davey
Comparative performances of stochastic competitive evolutionary neural tree (SCENT) with neural classifiers. (2001)
W. Pensuwon,
R.G. Adams
and
N. Davey
High performance associative memory models and sign constraints. (2001)
N. Davey
and
R.G. Adams
High performance associative memory models and weight dilution. (2001)
N. Davey,
R.G. Adams
and
S. Hunt
Omni-directional motion: pedestrian shape classification using neural networks and active contour models. (2001)
Ken Tabb,
S. George,
N. Davey
and
R.G. Adams
Plural morphology in compounding is not good evidence to support the dual mechanism model. (2001)
J. Hayes,
V. Murphy,
L. Peters,
Pamela Smith
and
N. Davey
Time Series Prediction and Neural Networks. (2001)
R. Frank,
N. Davey
and
S. Hunt
Analysis of human motion using snakes and neural networks. (2000)
Ken Tabb,
S. George,
N. Davey
and
R.G. Adams
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network. (2000)
N. Davey,
R.G. Adams
and
S. George
High performance associative memory models and symmetric connections. (2000)
N. Davey,
R.G. Adams
and
Stephen Hunt
Input window size and neural network predictors. (2000)
R. Frank,
N. Davey
and
Stephen Hunt
Optimising a neural tree classifier using a genetic algorithm. (2000)
W. Pensuwon,
R.G. Adams
and
N. Davey
Perceptual distinction in an unsupervised neural network: implications for theories of category-specific deficits. (2000)
T.M. Gale,
L. Peters,
R. Frank
and
N. Davey
Stochasticity applied to a neural tree classifier. (2000)
W. Pensuwon,
R.G. Adams
and
N. Davey
The analysis of animate object motion using neural networks and snakes. (2000)
Ken Tabb,
S. George,
N. Davey
and
R.G. Adams
Applications of neural networks to telecommunications systems. (1999)
R. Frank,
N. Davey
and
S. Hunt
Detecting partial occlusion of humans using snakes and neural networks. (1999)
Ken Tabb,
N. Davey,
S. George
and
R.G. Adams
Human shape recognition from snakes using neural networks. (1999)
Ken Tabb,
N. Davey,
S. George
and
R.G. Adams
Time series prediction and neural networks. (1999)
N. Davey,
S. Hunt
and
R. Frank
The capacity and attractor basins of associative memory models. (1999)
N. Davey
and
S. Hunt
A modular attractor model of semantic access. (1999)
W. Power,
R. Frank,
D.J. Done
and
N. Davey
A reward driven connectionist model of cognitive development. (1999)
L. Peters,
N. Davey,
Pamela Smith
and
D.J. Messer
Analysing Hierarchical Data Using a Stochastic Evolutionary Neural Tree. (1998)
R.G. Adams,
N. Davey
and
S. George
A Connectionist account of Spanish determiner production. (1998)
A. Nix,
D.J. Messer,
N. Davey
and
Pamela Smith
A neural network model of visual object recognition impairment after brain damage. (1998)
N. Davey,
R. Frank,
T.M. Gale
and
S. George
Traffic trends analysis using neural networks. (1997)
T. Edwards,
D. Tansley,
R. Frank
and
N. Davey
An investigation into the performance and representation of a stochastic evolutionary neural tree. (1997)
K. Butchart,
N. Davey
and
R.G. Adams
Dynamic competitive learning applied to the clone detection problem. (1995)
P. Barson,
N. Davey,
R. Frank
and
D. Tansley
Using neural networks to analyse software complexity. (1995)
S. Field,
N. Davey
and
R. Frank
The development of a software clone detector. (1995)
N. Davey,
P. Barson,
S. Field,
R. Frank
and
D. Tansley
The use of metrics in connectionist psychological models. (1993)
C. Lyon
and
N. Davey
Hierarchical Classification with a Competitive Evolutionary Neural Tree. (1999)
R.G. Adams,
K. Butchart
and
N. Davey
Synaptic plasticity and pattern recognition in cerebellar Purkinje cells. (2014)
Giseli De Sousa,
Reinoud Maex,
Roderick Adams,
N. Davey
and
Volker Steuber
Adaptive electrical signal post-processing with varying representations in optical communication systems. (2009)
Stephen Hunt,
Yi Sun,
Alex Shafarenko,
Roderick Adams,
N. Davey,
Brendan Slater,
Ranjeet Bhamber,
Sonia Boscolo
and
Sergei K. Turitsyn
The application of Gaussian processes in the prediction of absorption across mammalian skin and synthetic membranes. (2010)
Y. Sun,
M. Prapopoulou,
R. Adams,
N. Davey,
G. P. Moss
and
Marc Brown
Design and use of neural network applications in telecommunications. (2000)
R. Frank,
N. Davey
and
S. Hunt
Predicting Binding Sites in the Mouse Genome. (2007)
Yi. Sun,
M. Robinson,
R.G. Adams,
N. Davey
and
A.G. Rust
Using the support vector machine as a classification method for software defect prediction with static code metrics. (2009)
David Gray,
D. Bowes,
N. Davey,
Yi Sun
and
B. Christianson
The detection of fraud in mobile phone networks. (1996)
N. Davey,
S. Field,
R. Frank,
P. Barson
and
G. McAskey
An evaluation of the potential of linear and nonlinear skin permeation models for the prediction of experimentally measured percutaneous drug absorption. (2012)
Marc Brown,
Chi-Hian Lau,
Sian T. Lim,
Yi Sun,
N. Davey,
Gary P. Moss,
Seon-Hie Yoo
and
Christian De Muynck
Multiplicative gain modulation arising from inhibitory synaptic plasticity in the cerebellar nuclei. (2014)
Dimitris Bampasakis,
Reinoud Maex,
N. Davey
and
Volker Steuber
Connectionist modelling of skill development : object balancing in young children. (2000)
L. Peters,
N. Davey,
Pamela Smith
and
D.J. Messer
Biologically plausible computational models for facial expression recognition. (2013)
Aruna Shenoy,
N. Davey
and
Raymond Frank
The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes. (2011)
Gary Moss,
Yi Sun,
Simon C. Wilkinson,
N. Davey,
Roderick Adams,
Gary P. Martin,
M. Prapopopolou
and
Marc Brown
Evolved patterns of connectivity in associative memory models. (2006)
R.G. Adams,
L. Calcraft
and
N. Davey
The performance pf sparsley-connected 2D associative memory models with non-random images. (2009)
L. Calcraft,
Roderick Adams
and
N. Davey
Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping. (2013)
Parimala Alva,
Giseli De Sousa,
Ben Torben-Nielsen,
Reinoud Maex,
Roderick Adams,
N. Davey
and
Volker Steuber
An investigation into Karmilov-Smith's RR model : the effects of structured tuition. (1999)
L. Peters,
N. Davey,
D.J. Messer
and
Pamela Smith
Using neural networks to analyse software complexity. (1996)
S. Field,
N. Davey
and
R. Frank
Formal Systems, Not Methods. (2004)
M. Loomes,
B. Christianson
and
N. Davey
The effect of different types of synaptic plasticity on the performance of associative memory networks with excitatory and inhibitory sub-populations. (2012)
A. Metaxas,
R. Maex,
Volker Steuber,
R. Adams
and
N. Davey
The application of Gaussian processes in the prediction of percutaneous absorption. (2009)
Gary P. Moss,
Yi Sun,
Maria Prapopoulou,
N. Davey,
Roderick Adams,
W. John Pugh
and
Marc Brown
Recognizing facial expressions : Computational models and humans. (2013)
Aruna Shenoy,
N. Davey
and
Ray Frank
Correcting Errors in Optical Data Transmission Using Neural Networks. (2010)
S. Hunt,
Yi. Sun,
A. Shafarenko,
R.G. Adams,
N. Davey,
B. Slater,
R. Bhamber,
S. Boscolo
and
S.K. Turitsyn
Evolving dendritic morphology and parameters in biologically realistic model neurons for pattern recognition. (2012)
G. De Sousa,
R. Maex,
R. Adams,
N. Davey
and
Volker Steuber
The importance of hyperparameters selection within small datasets. (2015)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Roderick Adams,
Marc Brown,
Maria Prapopoulou
and
Gary Moss
Optimising a Neural Tree Using Subtree Retraining. (2004)
W. Pensuwon,
R.G. Adams
and
N. Davey