Author
Number of items: 137.
Article
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
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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
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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
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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
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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
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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
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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
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
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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
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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
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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
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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
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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
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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
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. (2008)
N. Oros,
Volker Steuber,
N. Davey,
L. Canamero
and
R.G. Adams
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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
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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
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Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity. (2008)
L. Calcraft,
R.G. Adams
and
N. Davey
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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
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Efficient architectures for sparsely-connected high capacity associative memory models. (2007)
L. Calcraft,
R.G. Adams
and
N. Davey
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High capacity associative memory with bipolar and binary, biased patterns. (2007)
W. Chen,
R.G. Adams,
L. Calcraft,
N. Davey
and
Volker Steuber
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Identifying binding sites in sequential genomic data. (2007)
M. Robinson,
C. Gonzalez Castellano,
R.G. Adams,
N. Davey
and
Yi. Sun
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Optimal connection strategies in one- and two-dimensional associative memory models. (2007)
L. Calcraft,
R.G. Adams
and
N. Davey
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Unsupervised Learning with Normalised Data and Non-Euclidean Norms. (2007)
K. Doherty,
R.G. Adams
and
N. Davey
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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
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Connectivity in real and evolved associative memories. (2006)
R.G. Adams,
L. Calcraft
and
N. Davey
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High Capacity, Small World Associative Memory Models. (2006)
N. Davey,
L. Calcraft
and
R.G. Adams
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High performance associative memory models with low wiring costs. (2006)
L. Calcraft,
R.G. Adams
and
N. Davey
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Learning through experience: an emergent connectionist account of letter production behaviour. (2006)
F.M. Richardson,
N. Davey,
R.G. Adams
and
D.J. Done
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Locally connected and small world associative memories in very large networks. (2006)
L. Calcraft,
R.G. Adams
and
N. Davey
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Evolving high capacity associative memories with efficient wiring. (2005)
R.G. Adams,
L. Calcraft
and
N. Davey
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High Capacity Recurrent Associative Memories. (2004)
N. Davey,
S. Hunt
and
R.G. Adams
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Non-Euclidean Norms and Data Normalisation. (2004)
K. Doherty,
R.G. Adams
and
N. Davey
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High Capacity Associative Memories and Connection Constraints. (2004)
N. Davey
and
R.G. Adams
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Identifying word boundaries in handwritten text. (2004)
Yi. Sun,
T. Butler,
A. Shafarenko,
M.J. Loomes,
R.G. Adams
and
N. Davey
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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
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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
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A Finite State Automation Model for Multi-Neuron Simulations. (2002)
M. Schilstra,
A.G. Rust,
R.G. Adams
and
H. Bolouri
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High capacity associative memories and stochasticity. (2002)
N. Davey
and
R.G. Adams
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Optimising a stochastic dynamic neural tree. (2002)
W. Pensuwon,
R.G. Adams
and
N. Davey
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The Analysis of the addition of Stochasticity to a Neural Tree Classifier. (2001)
W. Pensuwon,
R.G. Adams
and
N. Davey
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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
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The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network. (2000)
N. Davey,
R.G. Adams
and
S. George
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Evolutionary neural topiary: growing and sculpting artifical neurons to order. (2000)
A.G. Rust,
R.G. Adams
and
H. Bolouri
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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
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HARP: A Parallel Pipelined RISC Processor. (1989)
G.B. Steven,
S.M. Gray
and
R.G. Adams
Other
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
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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
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The importance of hyperparameters selection within small datasets. (2015)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Roderick Adams,
Marc Brown,
Maria Prapopoulou
and
Gary Moss
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
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Synaptic plasticity and pattern recognition in cerebellar Purkinje cells. (2014)
Giseli De Sousa,
Reinoud Maex,
Roderick Adams,
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
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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
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
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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
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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
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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
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
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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
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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
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Optimization of neuronal morphologies for pattern recognition. (2010)
Giseli De Sousa,
Reinoud Maex,
R.G. Adams,
N. Davey
and
Volker Steuber
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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
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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
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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
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Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. (2009)
L. Calcraft,
R.G. Adams
and
N. Davey
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Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons. (2009)
Johannes Luthman,
Roderick Adams,
N. Davey,
Reinoud Maex
and
Volker Steuber
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Evolution of bilateral symmetry in agents controlled by spiking neural networks. (2009)
N. Oros,
Volker Steuber,
N. Davey,
Lola Cañamero
and
R.G. Adams
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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
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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
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Connectivity graphs and the performance of sparse associative memory models. (2008)
W. Chen,
R.G. Adams,
L. Calcraft,
Volker Steuber
and
N. Davey
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Determinants of pattern recognition by cerebellar Purkinje cells. (2008)
Giseli De Sousa,
R.G. Adams,
N. Davey
and
Volker Steuber
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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
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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
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Prediction of skin penetration using machine learning methods. (2008)
Yi Sun,
Gary Moss,
M. Prapopoulou,
Roderick Adams,
Marc Brown
and
N. Davey
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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
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Using graph theoretic measures to predict the performance of associative memory models. (2008)
L. Calcraft,
R.G. Adams,
W. Chen
and
N. Davey
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Predicting Binding Sites in the Mouse Genome. (2007)
Yi. Sun,
M. Robinson,
R.G. Adams,
N. Davey
and
A.G. Rust
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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
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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
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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
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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
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Associative Memories with Small World Connectivity. (2005)
N. Davey,
L. Calcraft,
B. Christianson
and
R.G. Adams
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Comparing computational and human measures of visual similarity. (2005)
T.M. Gale,
Yi. Sun,
R.G. Adams
and
N. Davey
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Hierarchical growing neural gas. (2005)
K. Doherty,
R.G. Adams
and
N. Davey
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Hierarchical topological clustering learns stock market sectors. (2005)
K. Doherty,
R.G. Adams,
N. Davey
and
W. Pensuwon
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TreeGNG - hierarchical topological clustering. (2005)
K. Doherty,
R.G. Adams
and
N. Davey
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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
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High Capacity Associative Memories and Small World Networks. (2004)
N. Davey,
B. Christianson
and
R.G. Adams
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Design of spatially extended neural networks for specific applications. (2004)
Roderick Adams,
Rene te Boekhorst,
A.G. Rust,
Paul H. Kaye
and
M. Schilstra
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High capacity associative memory models - binary and bipolar representation. (2004)
N. Davey,
R. Frank,
S. Hunt,
R.G. Adams
and
L. Calcraft
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Optimising a hierarchical neural clusterer applied to large gene sequence data sets. (2004)
Roderick Adams,
N. Davey,
Paul H. Kaye
and
W. Pensuwon
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Segmenting hand written text using supervised classification techniques. (2004)
Yi. Sun,
T. Butler,
A. Shafarenko,
M.J. Loomes,
R.G. Adams
and
N. Davey
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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
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Stochastic dynamics and high capacity associative memories. (2002)
N. Davey
and
R.G. Adams
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Comparative performances of stochastic competitive evolutionary neural tree (SCENT) with neural classifiers. (2001)
W. Pensuwon,
R.G. Adams
and
N. Davey
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High performance associative memory models and sign constraints. (2001)
N. Davey
and
R.G. Adams
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High performance associative memory models and weight dilution. (2001)
N. Davey,
R.G. Adams
and
S. Hunt
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Omni-directional motion: pedestrian shape classification using neural networks and active contour models. (2001)
Ken Tabb,
S. George,
N. Davey
and
R.G. Adams
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High performance associative memory models and symmetric connections. (2000)
N. Davey,
R.G. Adams
and
Stephen Hunt
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Optimising a neural tree classifier using a genetic algorithm. (2000)
W. Pensuwon,
R.G. Adams
and
N. Davey
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Stochasticity applied to a neural tree classifier. (2000)
W. Pensuwon,
R.G. Adams
and
N. Davey
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The analysis of animate object motion using neural networks and snakes. (2000)
Ken Tabb,
S. George,
N. Davey
and
R.G. Adams
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Detecting partial occlusion of humans using snakes and neural networks. (1999)
Ken Tabb,
N. Davey,
S. George
and
R.G. Adams
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Developmental evolution of dendritic morphology in a multi-compartmental neuron model. (1999)
A.G. Rust
and
R.G. Adams
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Human shape recognition from snakes using neural networks. (1999)
Ken Tabb,
N. Davey,
S. George
and
R.G. Adams
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Staged training of Neocognitron by evolutionary algorithms. (1999)
Z. Pan,
T. Sabisch,
R.G. Adams
and
H. Bolouri
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Analysing Hierarchical Data Using a Stochastic Evolutionary Neural Tree. (1998)
R.G. Adams,
N. Davey
and
S. George
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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
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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
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An investigation into the performance and representation of a stochastic evolutionary neural tree. (1997)
K. Butchart,
N. Davey
and
R.G. Adams
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Artificial evolution: modelling the development of the retina. (1996)
A.G. Rust,
R.G. Adams,
S. George
and
H. Bolouri
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Developmental artificial neural networks for shape recognition: a model of the retina. (1996)
A.G. Rust,
S. George,
H. Bolouri
and
R.G. Adams
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HARP: a statically scheduled multiple-instruction-issue architecture and its compiler. (1994)
R.G. Adams,
S.M. Gray
and
G.B. Steven
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Using conditional execution to exploit instruction level concurrency. (1994)
S.M. Gray
and
R.G. Adams
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Static instruction scheduling for the HARP multiple-instruction-issue architecture. (1992)
S.M. Gray,
R.G. Adams,
G.J. Green
and
G.B. Steven
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HARP: a VLIW RISC processor. (1991)
P. Findlay,
S.A. Trainis,
G.B. Steven
and
R.G. Adams
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The development of iHARP: a multiple instruction issue processor chip. (1991)
G.B. Steven,
R.G. Adams,
P. Findlay
and
S.A. Trainis
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