Kevin N. Gurney

Nathan F. Lepora, Paul G. Overton, Kevin N. Gurney: Efficient fitting of conductance-based model neurons from somatic current clamp. Journal of Computational Neuroscience 32(1): 1-24 (2012)

Nathan F. Lepora, Kevin N. Gurney: The Basal Ganglia Optimize Decision Making over General Perceptual Hypotheses. Neural Computation 24(11): 2924-2945 (2012)

Erfu Yang, Amir Hussain, Kevin N. Gurney: Neurobiologically-Inspired Soft Switching Control of Autonomous Vehicles. BICS 2012: 82-91

Amir Hussain, Rudwan Abdullah, Erfu Yang, Kevin N. Gurney: An Intelligent Multiple-Controller Framework for the Integrated Control of Autonomous Vehicles. BICS 2012: 92-101

Adam Tomkins, Mark D. Humphries, Christian Beste, Eleni Vasilaki, Kevin N. Gurney: How Degrading Networks Can Increase Cognitive Functions. ICANN (1) 2012: 185-192

Nathan F. Lepora, J. Charlie Sullivan, Benjamin Mitchinson, Martin J. Pearson, Kevin N. Gurney, Tony J. Prescott: Brain-inspired Bayesian perception for biomimetic robot touch. ICRA 2012: 5111-5116

Tom Stafford, Leanne Ingram, Kevin N. Gurney: Piéron's Law Holds During Stroop Conflict: Insights Into the Architecture of Decision Making. Cognitive Science 35(8): 1553-1566 (2011)

Robert D. Stewart, Kevin N. Gurney: Spiking neural network simulation: memory-optimal synaptic event scheduling. Journal of Computational Neuroscience 30(3): 721-728 (2011)

Nathan F. Lepora, Charles W. Fox, Mathew H. Evans, Benjamin Mitchinson, Asma Motiwala, J. Charlie Sullivan, Martin J. Pearson, Jason Welsby, Anthony G. Pipe, Kevin N. Gurney, Tony J. Prescott: A General Classifier of Whisker Data Using Stationary Naive Bayes: Application to BIOTACT Robots. TAROS 2011: 13-23

Benjamin Mitchinson, Tak-Shing Chan, Jonathan M. Chambers, Martin J. Pearson, Mark D. Humphries, Charles W. Fox, Kevin N. Gurney, Tony J. Prescott: BRAHMS: Novel middleware for integrated systems computation. Advanced Engineering Informatics 24(1): 49-61 (2010)

Mark D. Humphries, Ric Wood, Kevin N. Gurney: Reconstructing the Three-Dimensional GABAergic Microcircuit of the Striatum. PLoS Computational Biology 6(11) (2010)

Kevin Brohan, Kevin N. Gurney, Piotr Dudek: Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting. ICANN (2) 2010: 180-189

Nathan F. Lepora, Mathew H. Evans, Charles W. Fox, Mathew E. Diamond, Kevin N. Gurney, Tony J. Prescott: Naive Bayes texture classification applied to whisker data from a moving robot. IJCNN 2010: 1-8

Nathan F. Lepora, Martin J. Pearson, Benjamin Mitchinson, Mathew H. Evans, Charles W. Fox, Anthony G. Pipe, Kevin N. Gurney, Tony J. Prescott: Naive Bayes novelty detection for a moving robot with whiskers. ROBIO 2010: 131-136

Kevin N. Gurney: Reverse Engineering the Vertebrate Brain: Methodological Principles for a Biologically Grounded Programme of Cognitive Modelling. Cognitive Computation 1(1): 29-41 (2009)

Mark D. Humphries, Ric Wood, Kevin N. Gurney: Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit. Neural Networks 22(8): 1174-1188 (2009)

Kevin N. Gurney, Amir Hussain, Jonathan M. Chambers, Rudwan Abdullah: Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control. ICANN (1) 2009: 198-207

Charles W. Fox, Neil Girdhar, Kevin N. Gurney: A Causal Bayesian Network View of Reinforcement Learning. FLAIRS Conference 2008: 109-110

Amir Hussain, Kevin N. Gurney, Rudwan Abdullah, Jonathan M. Chambers: Emergent Common Functional Principles in Control Theory and the Vertebrate Brain: A Case Study with Autonomous Vehicle Control. ICANN (2) 2008: 949-958

Mark D. Humphries, Kevin N. Gurney: A means to an end: Validating models by fitting experimental data. Neurocomputing 70(10-12): 1892-1896 (2007)

Rafal Bogacz, Kevin N. Gurney: The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions. Neural Computation 19(2): 442-477 (2007)

Mark D. Humphries, Kevin N. Gurney: Solution Methods for a New Class of Simple Model Neurons. Neural Computation 19(12): 3216-3225 (2007)

Martin J. Pearson, Anthony G. Pipe, Benjamin Mitchinson, Kevin N. Gurney, Chris Melhuish, Ian Gilhespy, Mokhtar Nibouche: Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach. IEEE Transactions on Neural Networks 18(5): 1472-1487 (2007)

David Robert Wallace Barr, Piotr Dudek, Jonathan M. Chambers, Kevin N. Gurney: Implementation of multi-layer leaky integrator networks on a cellular processor array. IJCNN 2007: 1560-1565

Tony J. Prescott, Fernando M. Montes González, Kevin N. Gurney, Mark D. Humphries, Peter Redgrave: A robot model of the basal ganglia: Behavior and intrinsic processing. Neural Networks 19(1): 31-61 (2006)

Martin J. Pearson, Mokhtar Nibouche, Anthony G. Pipe, Chris Melhuish, Ian Gilhespy, Benjamin Mitchinson, Kevin N. Gurney, Tony J. Prescott, Peter Redgrave: A Biologically Inspired FPGA Based Implementation of a Tactile Sensory System for Object Recognition and Texture Discrimination. FPL 2006: 1-4

Martin J. Pearson, Chris Melhuish, Anthony G. Pipe, Mokhtar Nibouche, Ian Gilhespy, Kevin N. Gurney, Benjamin Mitchinson: Design and FPGA Implementation of an Embedded Real-Time Biologically Plausible Spiking Neural Network Processor. FPL 2005: 582-585

Martin J. Pearson, Ian Gilhespy, Kevin N. Gurney, Chris Melhuish, Benjamin Mitchinson, Mokhtar Nibouche, Anthony G. Pipe: A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor. ICANN (2) 2005: 1021-1026

Kevin N. Gurney, Paul G. Overton: A model of short and long range selective processing in neostriatum. Neurocomputing 58-60: 555-562 (2004)

Mark D. Humphries, Tony J. Prescott, Kevin N. Gurney: The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia. ICANN 2003: 797-804

Kevin N. Gurney, Tony J. Prescott, Peter Redgrave: A computational model of action selection in the basal ganglia. I. A new functional anatomy. Biological Cybernetics 84(6): 401-410 (2001)

Kevin N. Gurney, Tony J. Prescott, Peter Redgrave: A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour. Biological Cybernetics 84(6): 411-423 (2001)

Mark D. Humphries, Kevin N. Gurney: A pulsed neural network model of bursting in the basal ganglia. Neural Networks 14(6-7): 845-863 (2001)

Kevin N. Gurney: Information processing in dendrites: I. Input pattern generalisation. Neural Networks 14(8): 991-1004 (2001)

Kevin N. Gurney: Information processing in dendrites: II. Information theoretic complexity. Neural Networks 14(8): 1005-1022 (2001)

Kevin N. Gurney: An introduction to neural networks. Morgan Kaufmann 1997, isbn 978-1-85728-673-1, pp. I-XI, 1-234

Kevin N. Gurney, M. J. Wright: A biologically plausible model of early visual motion processing I: Theory and implementation. Biological Cybernetics 74(4): 339-348 (1996)

Kevin N. Gurney, M. J. Wright: A biologically plausible model of early visual motion processing II: Psychophysical application. Biological Cybernetics 74(4): 349-358 (1996)

Kevin N. Gurney: Letter to the editor. Neural Networks 8(3): 489- (1995)

Kevin N. Gurney: Training nets of stochastic units using system identification. Neural Networks 6(1): 133-145 (1993)

Kevin N. Gurney, M. J. Wright: A self-organising neural network model of image velocity encoding. Biological Cybernetics 68(2): 173-181 (1992)

Kevin N. Gurney: Training Recurrent Nets of Hardware Realisable Sigma-PI Units. Int. J. Neural Syst. 3(1): 31-42 (1992)

Kevin N. Gurney: Training nets of hardware realizable sigma-pi units. Neural Networks 5(2): 289-303 (1992)