Kevin N. Gurney

71 papers A* 1A 1B 4C 1Misc 1Journal 44Unranked 14
YearRankTypeTitle / Venue / Authors
2022 J jnl
Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal Ganglia.
Neural Comput.
Olivier Codol, Paul L. Gribble, Kevin N. Gurney
2021 J jnl
Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia.
Biol. Cybern.
Mark D. Humphries, Kevin N. Gurney
2021 A conf
Robust top-down and bottom-up visual saliency for mobile robots using bio-inspired design principles.
IROS
Uziel Jaramillo-Avila, Jonathan M. Aitken, Kevin N. Gurney, Sean R. Anderson
2020 J jnl
Agent Architecture for Adaptive Behaviors in Autonomous Driving.
IEEE Access
Mauro Da Lio, Riccardo Donà, Gastone Pietro Rosati Papini, Kevin N. Gurney
2019 J jnl
Roles for globus pallidus externa revealed in a computational model of action selection in the basal ganglia.
Neural Networks
Shreyas M. Suryanarayana, Jeanette Hellgren Kotaleski, Sten Grillner, Kevin N. Gurney
2018 J jnl
A probabilistic, distributed, recursive mechanism for decision-making in the brain.
PLoS Comput. Biol.
Javier A. Caballero, Mark D. Humphries, Kevin N. Gurney
2018 J jnl
Biologically Guided Driver Modeling: the Stop Behavior of Human Car Drivers.
IEEE Trans. Intell. Transp. Syst.
Mauro Da Lio, Alessandro Mazzalai, Kevin N. Gurney, Andrea Saroldi
2018 J jnl
Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker.
IEEE Trans. Cogn. Dev. Syst.
Basabdatta Sen Bhattacharya, Sebastian S. James, Oliver Rhodes, Indar Sugiarto, Andrew Rowley, Alan B. Stokes, Kevin N. Gurney, Steve B. Furber
2017 — conf
Exploiting dream-like simulation mechanisms to develop safer agents for automated driving: The "Dreams4Cars" EU research and innovation action.
ITSC
Mauro Da Lio, Alessandro Mazzalai, David Windridge, Serge Thill, Henrik Svensson, Mehmed Yüksel, Kevin N. Gurney, Andrea Saroldi, Luisa Andreone, Sean R. Anderson, Hermann-Josef Heich
2017 J jnl
SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models.
Neuroinformatics
Alex J. Cope, Paul Richmond, Sebastian S. James, Kevin N. Gurney, David J. Allerton
2017 J jnl
Striatal Neuropeptides Enhance Selection and Rejection of Sequential Actions.
Frontiers Comput. Neurosci.
David R. Buxton, Enrico Bracci, Paul G. Overton, Kevin N. Gurney
2016 J jnl
A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee.
PLoS Comput. Biol.
Alex J. Cope, Chelsea Sabo, Kevin N. Gurney, Eleni Vasilaki, James A. R. Marshall
2014 J jnl
Finding minimal action sequences with a simple evaluation of actions.
Frontiers Comput. Neurosci.
Ashvin Shah, Kevin N. Gurney
2014 J jnl
From Model Specification to Simulation of Biologically Constrained Networks of Spiking Neurons.
Neuroinformatics
Paul Richmond, Alex Cope, Kevin N. Gurney, David J. Allerton
2013 — conf
A Basal Ganglia Inspired Soft Switching Approach to the Motion Control of a Car-Like Autonomous Vehicle.
BICS
Erfu Yang, Amir Hussain, Kevin N. Gurney
2013 — ch.
A Novel Behavioural Task for Researching Intrinsic Motivations.
Intrinsically Motivated Learning in Natural and Artificial Systems
Tom Stafford, Tom Walton, Len Hetherington, Martin Thirkettle, Kevin N. Gurney, Peter Redgrave
2013 J jnl
A biologically plausible embodied model of action discovery.
Frontiers Neurorobotics
Rufino Bolado-Gomez, Kevin N. Gurney
2013 — ch.
Action Discovery and Intrinsic Motivation: A Biologically Constrained Formalisation.
Intrinsically Motivated Learning in Natural and Artificial Systems
Kevin N. Gurney, Nathan F. Lepora, Ashvin Shah, Ansgar Koene, Peter Redgrave
2013 — conf
The Green Brain Project - Developing a Neuromimetic Robotic Honeybee.
Living Machines
Alex Cope, Chelsea Sabo, Esin Yavuz, Kevin N. Gurney, James A. R. Marshall, Thomas Nowotny, Eleni Vasilaki
2013 — ch.
The Role of the Basal Ganglia in Discovering Novel Actions.
Intrinsically Motivated Learning in Natural and Artificial Systems
Peter Redgrave, Kevin N. Gurney, Tom Stafford, Martin Thirkettle, Jen Lewis
2013 J jnl
Transient and steady-state selection in the striatal microcircuit.
Frontiers Comput. Neurosci.
Adam R. Tomkins, Eleni Vasilaki, Christian Beste, Kevin N. Gurney, Mark D. Humphries
2012 — conf
An Intelligent Multiple-Controller Framework for the Integrated Control of Autonomous Vehicles.
BICS
Amir Hussain, Rudwan Abdullah, Erfu Yang, Kevin N. Gurney
2012 A* conf
Brain-inspired Bayesian perception for biomimetic robot touch.
ICRA
Nathan F. Lepora, J. Charlie Sullivan, Benjamin Mitchinson, Martin J. Pearson, Kevin N. Gurney, Tony J. Prescott
2012 J jnl
Efficient fitting of conductance-based model neurons from somatic current clamp.
J. Comput. Neurosci.
Nathan F. Lepora, Paul G. Overton, Kevin N. Gurney
2012 — conf
How Degrading Networks Can Increase Cognitive Functions.
ICANN (1)
Adam R. Tomkins, Mark D. Humphries, Christian Beste, Eleni Vasilaki, Kevin N. Gurney
2012 — conf
Neurobiologically-Inspired Soft Switching Control of Autonomous Vehicles.
BICS
Erfu Yang, Amir Hussain, Kevin N. Gurney
2012 J jnl
The Basal Ganglia Optimize Decision Making over General Perceptual Hypotheses.
Neural Comput.
Nathan F. Lepora, Kevin N. Gurney
2011 — conf
A General Classifier of Whisker Data Using Stationary Naive Bayes: Application to BIOTACT Robots.
TAROS
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
2011 — conf
A Systems Integration Approach to Creating Embodied Biomimetic Models of Active Vision.
TAROS
Alex Cope, Jonathan M. Chambers, Kevin N. Gurney
2011 J jnl
Piéron's Law Holds During Stroop Conflict: Insights Into the Architecture of Decision Making.
Cogn. Sci.
Tom Stafford, Leanne Ingram, Kevin N. Gurney
2011 J jnl
Spiking neural network simulation: memory-optimal synaptic event scheduling.
J. Comput. Neurosci.
Robert D. Stewart, Kevin N. Gurney
2010 J jnl
BRAHMS: Novel middleware for integrated systems computation.
Adv. Eng. Informatics
Benjamin Mitchinson, Tak-Shing Chan, Jonathan M. Chambers, Martin J. Pearson, Mark D. Humphries, Charles W. Fox, Kevin N. Gurney, Tony J. Prescott
2010 — conf
Naive Bayes novelty detection for a moving robot with whiskers.
ROBIO
Nathan F. Lepora, Martin J. Pearson, Benjamin Mitchinson, Mathew H. Evans, Charles W. Fox, Anthony G. Pipe, Kevin N. Gurney, Tony J. Prescott
2010 B conf
Naive Bayes texture classification applied to whisker data from a moving robot.
IJCNN
Nathan F. Lepora, Mathew H. Evans, Charles W. Fox, Mathew E. Diamond, Kevin N. Gurney, Tony J. Prescott
2010 J jnl
Reconstructing the Three-Dimensional GABAergic Microcircuit of the Striatum.
PLoS Comput. Biol.
Mark D. Humphries, Ric Wood, Kevin N. Gurney
2010 — conf
Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting.
ICANN (2)
Kevin Brohan, Kevin N. Gurney, Piotr Dudek
2009 J jnl
Capturing dopaminergic modulation and bimodal membrane behaviour of striatal medium spiny neurons in accurate, reduced models.
Frontiers Comput. Neurosci.
Mark D. Humphries, Nathan F. Lepora, Ric Wood, Kevin N. Gurney
2009 — conf
Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control.
ICANN (1)
Kevin N. Gurney, Amir Hussain, Jonathan M. Chambers, Rudwan Abdullah
2009 J jnl
Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit.
Neural Networks
Mark D. Humphries, Ric Wood, Kevin N. Gurney
2009 J jnl
Reverse Engineering the Vertebrate Brain: Methodological Principles for a Biologically Grounded Programme of Cognitive Modelling.
Cogn. Comput.
Kevin N. Gurney
2008 Misc conf
A Causal Bayesian Network View of Reinforcement Learning.
FLAIRS
Charles W. Fox, Neil Girdhar, Kevin N. Gurney
2008 — conf
Emergent Common Functional Principles in Control Theory and the Vertebrate Brain: A Case Study with Autonomous Vehicle Control.
ICANN (2)
Amir Hussain, Kevin N. Gurney, Rudwan Abdullah, Jonathan M. Chambers
2007 J jnl
A means to an end: Validating models by fitting experimental data.
Neurocomputing
Mark D. Humphries, Kevin N. Gurney
2007 B conf
Implementation of multi-layer leaky integrator networks on a cellular processor array.
IJCNN
David Robert Wallace Barr, Piotr Dudek, Jonathan M. Chambers, Kevin N. Gurney
2007 J jnl
Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach.
IEEE Trans. Neural Networks
Martin J. Pearson, Anthony G. Pipe, Benjamin Mitchinson, Kevin N. Gurney, Chris Melhuish, Ian Gilhespy, Mokhtar Nibouche
2007 J jnl
Solution Methods for a New Class of Simple Model Neurons.
Neural Comput.
Mark D. Humphries, Kevin N. Gurney
2007 J jnl
The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions.
Neural Comput.
Rafal Bogacz, Kevin N. Gurney
2006 B conf
A Biologically Inspired FPGA Based Implementation of a Tactile Sensory System for Object Recognition and Texture Discrimination.
FPL
Martin J. Pearson, Mokhtar Nibouche, Anthony G. Pipe, Chris Melhuish, Ian Gilhespy, Benjamin Mitchinson, Kevin N. Gurney, Tony J. Prescott, Peter Redgrave
2006 — conf
A Hardware Based Implementation of a Tactile Sensory System For Neuromorphic Signal Processing Applications.
ICASSP (4)
Martin J. Pearson, Mokhtar Nibouche, Ian Gilhespy, Kevin N. Gurney, Chris Melhuish, Benjamin Mitchinson, Anthony G. Pipe
2006 J jnl
A robot model of the basal ganglia: Behavior and intrinsic processing.
Neural Networks
Tony J. Prescott, Fernando M. Montes González, Kevin N. Gurney, Mark D. Humphries, Peter Redgrave
2005 — conf
A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor.
ICANN (2)
Martin J. Pearson, Ian Gilhespy, Kevin N. Gurney, Chris Melhuish, Benjamin Mitchinson, Mokhtar Nibouche, Anthony G. Pipe
2005 B conf
Design and FPGA Implementation of an Embedded Real-Time Biologically Plausible Spiking Neural Network Processor.
FPL
Martin J. Pearson, Chris Melhuish, Anthony G. Pipe, Mokhtar Nibouche, Ian Gilhespy, Kevin N. Gurney, Benjamin Mitchinson
2005 J jnl
Is There an Integrative Center in the Vertebrate Brain-Stem? A Robotic Evaluation of a Model of the Reticular Formation Viewed as an Action Selection Device.
Adapt. Behav.
Mark D. Humphries, Kevin N. Gurney, Tony J. Prescott
2004 J jnl
A model of short and long range selective processing in neostriatum.
Neurocomputing
Kevin N. Gurney, Paul G. Overton
2004 J jnl
A novel parameter optimisation technique for compartmental models applied to a model of a striatal medium spiny neuron.
Neurocomputing
R. Wood, Kevin N. Gurney, Charles J. Wilson
2003 C conf
The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia.
ICANN
Mark D. Humphries, Tony J. Prescott, Kevin N. Gurney
2001 J jnl
A computational model of action selection in the basal ganglia. I. A new functional anatomy.
Biol. Cybern.
Kevin N. Gurney, Tony J. Prescott, Peter Redgrave
2001 J jnl
A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour.
Biol. Cybern.
Kevin N. Gurney, Tony J. Prescott, Peter Redgrave
2001 J jnl
A pulsed neural network model of bursting in the basal ganglia.
Neural Networks
Mark D. Humphries, Kevin N. Gurney
2001 J jnl
Information processing in dendrites: I. Input pattern generalisation.
Neural Networks
Kevin N. Gurney
2001 J jnl
Information processing in dendrites: II. Information theoretic complexity.
Neural Networks
Kevin N. Gurney
1999 J jnl
Layered Control Architectures in Robots and Vertebrates.
Adapt. Behav.
Tony J. Prescott, Peter Redgrave, Kevin N. Gurney
1997 — book
An introduction to neural networks.
Kevin N. Gurney
1996 J jnl
A biologically plausible model of early visual motion processing I: Theory and implementation.
Biol. Cybern.
Kevin N. Gurney, M. J. Wright
1996 J jnl
A biologically plausible model of early visual motion processing II: Psychophysical application.
Biol. Cybern.
Kevin N. Gurney, M. J. Wright
1995 J jnl
Letter to the editor.
Neural Networks
Kevin N. Gurney
1993 J jnl
Training nets of stochastic units using system identification.
Neural Networks
Kevin N. Gurney
1992 J jnl
A self-organising neural network model of image velocity encoding.
Biol. Cybern.
Kevin N. Gurney, M. J. Wright
1992 J jnl
Training Recurrent Nets of Hardware Realisable Sigma-PI Units.
Int. J. Neural Syst.
Kevin N. Gurney
1992 J jnl
Training nets of hardware realizable sigma-pi units.
Neural Networks
Kevin N. Gurney
1989 — —
Learning in networks of structured hypercubes.
Kevin N. Gurney