Items where Author is "Davey, N."

Number of items: 185.
Article
  • 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
  • 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
  • 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
  • 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
  • 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
  • Categorizing facial expressions : a comparison of computational models. (2011) Aruna Shenoy, Susan Anthony, Raymond Frank and N. Davey
  • 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
  • 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
  • Further thoughts on precision. (2011) D. Gray, David Bowes, N. Davey, Yi Sun and B. Christianson
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Connection Strategies in Associative Memory Models. (2009) W. Chen, R. Maex, R.G. Adams, L. Calcraft, Volker Steuber and N. Davey
  • 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
  • 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
  • Using a genetic algorithm to investigate efficient connectivity in associative memories. (2009) R.G. Adams, L. Calcraft and N. Davey
  • 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
  • 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
  • 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
  • Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity. (2008) L. Calcraft, R.G. Adams and N. Davey
  • 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
  • Recognizing Facial Expressions : A Comparison of Computational Approaches. (2008) A. Shenoy, T.M. Gale, N. Davey, B. Christianson and R. Frank
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • High Capacity Recurrent Associative Memories. (2004) N. Davey, S. Hunt 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
  • Formal Systems, Not Methods. (2004) M. Loomes, B. Christianson and N. Davey
  • 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
  • Identifying word boundaries in handwritten text. (2004) Yi. Sun, T. Butler, A. Shafarenko, M.J. Loomes, R.G. Adams and N. Davey
  • Optimising a Neural Tree Using Subtree Retraining. (2004) W. Pensuwon, 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
  • Representations and character recognition: an issue for action in perception. (2003) F.M. Richardson, S. Anthony, D.J. Done, L. Peters and N. Davey
  • 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
  • Connectionist models invesitigating representations formed in the sequential generation of characters. (2002) F.M. Richardson, N. Davey, L. Peters, D.J. Done and S. Anthony
  • High capacity associative memories and stochasticity. (2002) N. Davey and R.G. Adams
  • 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
  • Visual similarity is greater for line drawings of nonliving than living things: The importance of musical instruments and body-parts. (2002) K.R. Laws, T.M. Gale, R. Frank and N. Davey
  • The Analysis of the addition of Stochasticity to a Neural Tree Classifier. (2001) W. Pensuwon, R.G. Adams 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
  • Hierarchical Classification with a Competitive Evolutionary Neural Tree. (1999) R.G. Adams, K. Butchart and N. Davey
  • The capacity and attractor basins of associative memory models. (1999) N. Davey and S. Hunt
  • An investigation into Karmilov-Smith's RR model : the effects of structured tuition. (1999) L. Peters, N. Davey, D.J. Messer and Pamela Smith
  • A modular attractor model of semantic access. (1999) W. Power, R. Frank, D.J. Done and N. Davey
  • Using neural networks to analyse software complexity. (1996) S. Field, N. Davey and R. Frank
  • The detection of fraud in mobile phone networks. (1996) N. Davey, S. Field, R. Frank, P. Barson and G. McAskey
  • The development of a software clone detector. (1995) N. Davey, P. Barson, S. Field, R. Frank and D. Tansley
    • Conference or Workshop Item
  • Attention mechanisms and component-based face detection. (2009) J.W. Han, P.C.R. Lane, N. Davey and Yi Sun
  • Using Simple Neural Networks to Correct Errors in Optical Data Transmission. (2008) S. Hunt, Yi Sun, A. Shafarenko, N. Davey, S. Boscolo and S.K. Turitsyn
  • Sparsely-connected associative memory models with displaced connectivity. (2007) L. Calcraft, R.G. Adams and N. Davey
  • Topological correlation. (2006) K. Doherty, R.G. Adams and N. Davey
  • Update thresholds and high capacity associative memories. (2006) W. Chen, R.G. Adams, L. Calcraft and N. Davey
  • Associative memory models with structured connectivity. (2003) S.P. Turvey, S. Hunt, R. Frank and N. Davey
  • Sign constrained high capacity associative memory models. (2003) N. Davey and R.G. Adams
  • The /s/ morpheme and the compounding phenomenon in English. (2002) J. Hayes, V. Murphy, N. Davey, P. Smith and L. Peters
  • A comparative analysis of high performance associative memory models. (2000) N. Davey and S. Hunt
    • Other
  • Estimation of microphysical parameters of atmospheric pollution using machine learning. (2018) C. Llerena, D. Müller, R. Adams, N. Davey and Y. Sun
  • 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
  • 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
  • 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
  • Multiplicative gain modulation arising from inhibitory synaptic plasticity in the cerebellar nuclei. (2014) Dimitris Bampasakis, Reinoud Maex, N. Davey and Volker Steuber
  • Synaptic plasticity and pattern recognition in cerebellar Purkinje cells. (2014) Giseli De Sousa, Reinoud Maex, Roderick Adams, N. Davey and Volker Steuber
  • Recognizing facial expressions : Computational models and humans. (2013) Aruna Shenoy, N. Davey and Ray Frank
  • Biologically plausible computational models for facial expression recognition. (2013) Aruna Shenoy, N. Davey and Raymond Frank
  • 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
  • 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
  • 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
  • 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
  • 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 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 Beneficial Effects of Non-specific Synaptic Plasticity for Pattern Recognition in Auto-associative Memory. (2011) L. Calcraft, Reinoud Maex, N. Davey and Volker Steuber
  • 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
  • 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
  • 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
  • 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
  • Predicting drug absorption rates through human skin. (2010) Yi. Sun, L.Y. Lam, G.P. Moss, M. Prapopoulou, R.G. Adams, N. Davey, David Gray and Marc Brown
  • 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 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 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
  • Evolution of bilateral symmetry in agents controlled by spiking neural networks. (2009) N. Oros, Volker Steuber, N. Davey, Lola Cañamero and R.G. Adams
  • Representation and classification of facial expression in a modular computational model. (2009) A. Shenoy, T.M. Gale, N. Davey and R. Frank
  • The performance pf sparsley-connected 2D associative memory models with non-random images. (2009) L. Calcraft, Roderick Adams and N. Davey
  • 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
  • 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
  • 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 skin penetration using machine learning methods. (2008) Yi Sun, Gary Moss, M. Prapopoulou, Roderick Adams, Marc Brown and N. Davey
  • 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
  • Using graph theoretic measures to predict the performance of associative memory models. (2008) L. Calcraft, R.G. Adams, W. Chen and N. Davey
  • Predicting Binding Sites in the Mouse Genome. (2007) Yi. Sun, M. Robinson, R.G. Adams, N. Davey and A.G. Rust
  • 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
  • Evolved patterns of connectivity in associative memory models. (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
  • 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
  • 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
  • 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
  • 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 Associative Memories and Small World Networks. (2004) N. Davey, B. Christianson and R.G. Adams
  • 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
  • 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
  • Self-Organising Map Representations Of Greyscale Images Reflect Human Similarity Judgements. (2004) T.M. Gale, N. Davey, K.R. Laws, M.J. Loomes and R. Frank
  • 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 Hybrid Detection and Classification System for Human Motion Analysis. (2002) Ken Tabb, N. Davey, R.G. Adams and S. George
  • 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
  • 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
  • Connectionist modelling of skill development : object balancing in young children. (2000) L. Peters, N. Davey, Pamela Smith and D.J. Messer
  • Design and use of neural network applications in telecommunications. (2000) R. Frank, N. Davey and S. Hunt
  • 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
  • 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 use of metrics in connectionist psychological models. (1993) C. Lyon and N. Davey