Items where Author is "Adams, R.G."

Number of items: 116.
Article
  • 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 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Evolving high capacity associative memories with efficient wiring. (2005) R.G. Adams, L. Calcraft and N. Davey
  • 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
  • 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
  • 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
  • A Finite State Automation Model for Multi-Neuron Simulations. (2002) M. Schilstra, A.G. Rust, R.G. Adams and H. Bolouri
  • High capacity associative memories and stochasticity. (2002) N. Davey and R.G. Adams
  • Optimising a stochastic dynamic neural tree. (2002) W. Pensuwon, R.G. Adams and N. Davey
  • The Analysis of the addition of Stochasticity to a Neural Tree Classifier. (2001) W. Pensuwon, R.G. Adams and N. Davey
  • Towards Computational Neural Systems through Developmental Evolution. (2001) A.G. Rust, R.G. Adams, S. George and H. Bolouri
  • 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
  • Evolutionary neural topiary: growing and sculpting artifical neurons to order. (2000) A.G. Rust, R.G. Adams and H. Bolouri
  • Hierarchical Classification with a Competitive Evolutionary Neural Tree. (1999) R.G. Adams, K. Butchart and N. Davey
  • Using Conditional Execution to Exploit Instruction Level Concurrency. (1995) R.G. Adams and S.M. Gray
  • Addressing Mechanisms for VLIW and Superscalar Processors. (1993) F.L. Steven, R.G. Adams, G.B. Steven, L. Wang and D. Whale
  • Static Instruction Scheduling for the HARP Multiple-Instruction-Issue Architecture. (1993) S.M. Gray, R.G. Adams, G.J. Green and G.B. Steven
  • iHARP a Multiple Instruction Issue Processor Chip Incorporating RISC and VLIW Design Features. (1992) S.A. Trainis, P. Findlay, G.B. Steven, R.G. Adams and D. McHale
  • iHarp: a Multiple Instruction Issue Processor. (1992) G.B. Steven, R.G. Adams, P. Findlay and S.A. Trainis
  • A Parallel Pipelined Processor with Conditional Instruction Execution. (1991) R.G. Adams and G.B. Steven
  • HARP: A Parallel Pipelined RISC Processor. (1989) G.B. Steven, S.M. Gray and R.G. Adams
    • Conference or Workshop Item
  • 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
  • Sign constrained high capacity associative memory models. (2003) N. Davey and R.G. Adams
    • Other
  • 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
  • Characterising the performance of balanced memory networks. (2013) A. Metaxas, Reinoud Maex, R.G. Adams, Volker Steuber and N. Davey
  • 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
  • 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
  • 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
  • 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
  • Evolution of bilateral symmetry in agents controlled by spiking neural networks. (2009) N. Oros, Volker Steuber, N. Davey, Lola Cañamero and R.G. Adams
  • 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
  • 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
  • High Capacity Associative Memories and Small World Networks. (2004) N. Davey, B. Christianson and R.G. Adams
  • High capacity associative memory models - binary and bipolar representation. (2004) N. Davey, R. Frank, S. Hunt, R.G. Adams and L. Calcraft
  • Segmenting hand written text using supervised classification techniques. (2004) Yi. Sun, T. Butler, A. Shafarenko, M.J. Loomes, R.G. Adams and N. Davey
  • Evolving computational neural systems using synthetic developmental mechanisms. (2003) R.G. Adams, A.G. Rust, M. Schilstra and H. Bolouri
  • 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
  • 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
  • High performance associative memory models and symmetric connections. (2000) N. Davey, R.G. Adams and Stephen Hunt
  • Optimising a neural tree classifier using a genetic algorithm. (2000) W. Pensuwon, R.G. Adams 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
  • Detecting partial occlusion of humans using snakes and neural networks. (1999) Ken Tabb, N. Davey, S. George and R.G. Adams
  • Developmental evolution of dendritic morphology in a multi-compartmental neuron model. (1999) A.G. Rust and R.G. Adams
  • Human shape recognition from snakes using neural networks. (1999) Ken Tabb, N. Davey, S. George and R.G. Adams
  • Staged training of Neocognitron by evolutionary algorithms. (1999) Z. Pan, T. Sabisch, R.G. Adams and H. Bolouri
  • Analysing Hierarchical Data Using a Stochastic Evolutionary Neural Tree. (1998) R.G. Adams, N. Davey and S. George
  • Developmental evolution of an edge detecting retina. (1998) A.G. Rust, R.G. Adams, S. George and H. Bolouri
  • Evolution of developmental ontogeny for robustly reproducible phenotypes. (1998) A.G. Rust, R.G. Adams, S. George and H. Bolouri
  • Molecular self-organisation in a developmental model for the evolution of large-scale artificial neural networks. (1998) H. Bolouri, R.G. Adams, S. George and A.G. Rust
  • An investigation into the performance and representation of a stochastic evolutionary neural tree. (1997) K. Butchart, N. Davey and R.G. Adams
  • Artificial evolution: modelling the development of the retina. (1996) A.G. Rust, R.G. Adams, S. George and H. Bolouri
  • Developmental artificial neural networks for shape recognition: a model of the retina. (1996) A.G. Rust, S. George, H. Bolouri and R.G. Adams
  • HARP: a statically scheduled multiple-instruction-issue architecture and its compiler. (1994) R.G. Adams, S.M. Gray and G.B. Steven
  • Using conditional execution to exploit instruction level concurrency. (1994) S.M. Gray and R.G. Adams
  • Static instruction scheduling for the HARP multiple-instruction-issue architecture. (1992) S.M. Gray, R.G. Adams, G.J. Green and G.B. Steven
  • HARP: a VLIW RISC processor. (1991) P. Findlay, S.A. Trainis, G.B. Steven and R.G. Adams
  • The development of iHARP: a multiple instruction issue processor chip. (1991) G.B. Steven, R.G. Adams, P. Findlay and S.A. Trainis