Item Type No Grouping

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

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

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

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

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

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

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 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

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

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

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

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

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

A Parallel Pipelined Processor with Conditional Instruction Execution. (1991) R.G. Adams and G.B. Steven

Optimising a Neural Tree Using Subtree Retraining. (2004) 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

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

HARP: A Parallel Pipelined RISC Processor. (1989) G.B. Steven, S.M. Gray and R.G. Adams

iHarp: a Multiple Instruction Issue Processor. (1992) G.B. Steven, R.G. Adams, P. Findlay and S.A. Trainis

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

Using Conditional Execution to Exploit Instruction Level Concurrency. (1995) R.G. Adams and S.M. Gray

Hierarchical Classification with a Competitive Evolutionary Neural Tree. (1999) R.G. Adams, K. Butchart and N. Davey

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

Book Section

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

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

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

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

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

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

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

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

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

Conference or Workshop Item

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

Comparative performances of stochastic competitive evolutionary neural tree (SCENT) with neural classifiers. (2001) W. Pensuwon, R.G. Adams and N. Davey

Sign constrained high capacity associative memory models. (2003) N. Davey and R.G. Adams

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

Book

Evolution of developmental ontogeny for robustly reproducible phenotypes. (1998) A.G. Rust, R.G. Adams, S. George and H. Bolouri

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

Other

Developmental evolution of an edge detecting retina. (1998) A.G. Rust, R.G. Adams, S. George and H. Bolouri

Evolved patterns of connectivity in associative memory models. (2006) R.G. Adams, L. Calcraft and N. Davey

Evolving computational neural systems using synthetic developmental mechanisms. (2003) R.G. Adams, A.G. Rust, M. Schilstra and H. Bolouri

Predicting Binding Sites in the Mouse Genome. (2007) Yi. Sun, M. Robinson, R.G. Adams, N. Davey and A.G. Rust