Kevin N. Gurney

发表

Layered Control Architectures in Robots and Vertebrates

Peter Redgrave, Tony J. Prescott, Kevin N. Gurney, 1999, Adapt. Behav..

Brain-inspired Bayesian perception for biomimetic robot touch

Nathan F. Lepora, Tony J. Prescott, Kevin N. Gurney, 2012, 2012 IEEE International Conference on Robotics and Automation.

An introduction to neural networks

Kevin N. Gurney, K. Gurney, 2018 .

Neurobiologically-Inspired Soft Switching Control of Autonomous Vehicles

Erfu Yang, Amir Hussain, Kevin N. Gurney, 2012, BICS.

Design and FPGA implementation of an embedded real-time biologically plausible spiking neural network processor

Anthony G. Pipe, Mokhtar Nibouche, Chris Melhuish, 2005, International Conference on Field Programmable Logic and Applications, 2005..

A pulsed neural network model of bursting in the basal ganglia

Mark D. Humphries, Kevin N. Gurney, K. Gurney, 2001, Neural Networks.

Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting

Piotr Dudek, Kevin N. Gurney, Kevin Brohan, 2010, ICANN.

A means to an end: Validating models by fitting experimental data

Mark D. Humphries, Kevin N. Gurney, 2007, Neurocomputing.

A self-organising neural network model of image velocity encoding

Kevin N. Gurney, M. J. Wright, M. Wright, 2004, Biological Cybernetics.

The Basal Ganglia Optimize Decision Making over General Perceptual Hypotheses

Nathan F. Lepora, Kevin N. Gurney, N. Lepora, 2012, Neural Computation.

Naive Bayes texture classification applied to whisker data from a moving robot

Nathan F. Lepora, Mathew H. Evans, Tony J. Prescott, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Integrating Brain and Biomechanical Models—A New Paradigm for Understanding Neuro-muscular Control

Konstantinos Moustakas, Sean R. Anderson, Kevin N. Gurney, 2018, Front. Neurosci..

Emergent Common Functional Principles in Control Theory and the Vertebrate Brain: A Case Study with Autonomous Vehicle Control

Amir Hussain, Kevin N. Gurney, Rudwan Abdullah, 2008, ICANN.

Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach

Anthony G. Pipe, Mokhtar Nibouche, Chris Melhuish, 2007, IEEE Transactions on Neural Networks.

A biologically plausible model of early visual motion processing II: Psychophysical application

Kevin N. Gurney, M. J. Wright, M. Wright, 1996, Biological Cybernetics.

Piéron's Law Holds During Stroop Conflict: Insights Into the Architecture of Decision Making

Kevin N. Gurney, Tom Stafford, Leanne Ingram, 2011, Cogn. Sci..

A Basal Ganglia Inspired Soft Switching Approach to the Motion Control of a Car-Like Autonomous Vehicle

Erfu Yang, Amir Hussain, Kevin N. Gurney, 2013, BICS.

Exploiting dream-like simulation mechanisms to develop safer agents for automated driving: The “Dreams4Cars” EU research and innovation action

David Windridge, Sean R. Anderson, Mauro Da Lio, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

A robot model of the basal ganglia: Behavior and intrinsic processing

Mark D. Humphries, Peter Redgrave, Tony J. Prescott, 2006, Neural Networks.

From Model Specification to Simulation of Biologically Constrained Networks of Spiking Neurons

Kevin N. Gurney, Paul Richmond, Alex Cope, 2013, Neuroinformatics.

A Systems Integration Approach to Creating Embodied Biomimetic Models of Active Vision

Kevin N. Gurney, Jonathan M. Chambers, Alex Cope, 2011, TAROS.

A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour

Peter Redgrave, Tony J. Prescott, Kevin N. Gurney, 2001, Biological Cybernetics.

Emergent structured transition from variation to repetition in a biologically-plausible model of learning in basal ganglia

Ashvin Shah, Kevin N. Gurney, K. Gurney, 2014, Front. Psychol..

Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit

Mark D. Humphries, Kevin N. Gurney, Ric Wood, 2009, Neural Networks.

How Degrading Networks Can Increase Cognitive Functions

Mark D. Humphries, Kevin N. Gurney, Christian Beste, 2012, ICANN.

A novel parameter optimisation technique for compartmental models applied to a model of a striatal medium spiny neuron

Kevin N. Gurney, C. J. Wilson, R. Wood, 2004, Neurocomputing.

SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models

Kevin N. Gurney, Paul Richmond, Alex J. Cope, 2016, Neuroinformatics.

BRAHMS: Novel middleware for integrated systems computation

Mark D. Humphries, Tony J. Prescott, Kevin N. Gurney, 2010, Adv. Eng. Informatics.

A biologically plausible embodied model of action discovery

Kevin N. Gurney, Rufino Bolado-Gomez, K. Gurney, 2012, Front. Neurorobot..

Letter to the editor

Kevin N. Gurney, 1995, Neural Networks.

Naive Bayes novelty detection for a moving robot with whiskers

Anthony G. Pipe, Nathan F. Lepora, Mathew H. Evans, 2010, 2010 IEEE International Conference on Robotics and Biomimetics.

Probabilistic Decision Making with Spikes: From ISI Distributions to Behaviour via Information Gain

Nathan F. Lepora, Kevin N. Gurney, Javier A. Caballero, 2015, PloS one.

A Causal Bayesian Network View of Reinforcement Learning

Kevin N. Gurney, Charles W. Fox, Neil Girdhar, 2008, FLAIRS.

Additive Factors Do Not Imply Discrete Processing Stages: A Worked Example Using Models of the Stroop Task

Kevin N. Gurney, Tom Stafford, T. Stafford, 2011, Front. Psychology.

Frontiers in Computational Neuroscience

Mark D. Humphries, Nathan F. Lepora, Kevin N. Gurney, 2022 .

Roles for globus pallidus externa revealed in a computational model of action selection in the basal ganglia

Jeanette Kotaleski, Kevin N. Gurney, Sten Grillner, 2019, Neural Networks.

Implementation of multi-layer leaky integrator networks on a cellular processor array

Piotr Dudek, Kevin N. Gurney, Jonathan M. Chambers, 2007, 2007 International Joint Conference on Neural Networks.

A biologically plausible model of early visual motion processing I: Theory and implementation

Kevin N. Gurney, M. J. Wright, M. Wright, 1996, Biological Cybernetics.

Spiking neural network simulation: memory-optimal synaptic event scheduling

Kevin N. Gurney, Robert D. Stewart, K. Gurney, 2011, Journal of Computational Neuroscience.

Finding minimal action sequences with a simple evaluation of actions

Ashvin Shah, Kevin N. Gurney, K. Gurney, 2014, Front. Comput. Neurosci..

A model of short and long range selective processing in neostriatum

Kevin N. Gurney, Paul G. Overton, K. Gurney, 2004, Neurocomputing.

Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control

Amir Hussain, Kevin N. Gurney, Rudwan Abdullah, 2009, ICANN.

A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor

Anthony G. Pipe, Mokhtar Nibouche, Chris Melhuish, 2005, ICANN.

A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee

James A. R. Marshall, Kevin N. Gurney, Eleni Vasilaki, 2016, PLoS Comput. Biol..

Training nets of hardware realizable sigma-pi units

Kevin N. Gurney, K. Gurney, 1992, Neural Networks.

A General Classifier of Whisker Data Using Stationary Naive Bayes: Application to BIOTACT Robots

Anthony G. Pipe, Nathan F. Lepora, Mathew H. Evans, 2011, TAROS.

Efficient fitting of conductance-based model neurons from somatic current clamp

Nathan F. Lepora, Kevin N. Gurney, Paul G. Overton, 2011, Journal of Computational Neuroscience.

The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia

Mark D. Humphries, Tony J. Prescott, Kevin N. Gurney, 2003, ICANN.

Decision-making and action selection in insects: inspiration from vertebrate-based theories

Kevin N. Gurney, Andrew B. Barron, Eleni Vasilaki, 2015, Front. Behav. Neurosci..

A Biologically Inspired FPGA Based Implementation of a Tactile Sensory System for Object Recognition and Texture Discrimination

Anthony G. Pipe, Peter Redgrave, Mokhtar Nibouche, 2006, 2006 International Conference on Field Programmable Logic and Applications.

A computational model of action selection in the basal ganglia. I. A new functional anatomy

Peter Redgrave, Tony J. Prescott, Kevin N. Gurney, 2001, Biological Cybernetics.

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

Mark D. Humphries, Tony J. Prescott, Kevin N. Gurney, 2005, Adapt. Behav..

Information processing in dendrites-I.: input pattern generalisation

Kevin N. Gurney, K. Gurney, 2001 .

Striatal Neuropeptides Enhance Selection and Rejection of Sequential Actions

Kevin N. Gurney, Paul G. Overton, Enrico Bracci, 2017, Front. Comput. Neurosci..

Solution Methods for a New Class of Simple Model Neurons

Mark D. Humphries, Kevin N. Gurney, 2007, Neural Computation.

Reverse Engineering the Vertebrate Brain: Methodological Principles for a Biologically Grounded Programme of Cognitive Modelling

Kevin N. Gurney, K. Gurney, 2009, Cognitive Computation.

The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions

Kevin N. Gurney, Rafal Bogacz, R. Bogacz, 2007, Neural Computation.

An Intelligent Multiple-Controller Framework for the Integrated Control of Autonomous Vehicles

Erfu Yang, Amir Hussain, Kevin N. Gurney, 2012, BICS.

A Hardware Based Implementation of a Tactile Sensory System For Neuromorphic Signal Processing Applications

Anthony G. Pipe, Mokhtar Nibouche, Chris Melhuish, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Information processing in dendrites: II. Information theoretic complexity

Kevin N. Gurney, K. N. Gurney, 2001, Neural Networks.

Training nets of stochastic units using system identification

Kevin N. Gurney, 1993, Neural Networks.

A probabilistic, distributed, recursive mechanism for decision-making in the brain

Mark D. Humphries, Kevin N. Gurney, Javier A. Caballero, 2018, PLoS Comput. Biol..

The Green Brain Project - Developing a Neuromimetic Robotic Honeybee

James A. R. Marshall, Kevin N. Gurney, Thomas Nowotny, 2013, Living Machines.

Transient and steady-state selection in the striatal microcircuit

Mark D. Humphries, Kevin N. Gurney, Christian Beste, 2014, Front. Comput. Neurosci..

Reconstructing the Three-Dimensional GABAergic Microcircuit of the Striatum

Mark D. Humphries, Kevin N. Gurney, Ric Wood, 2010, PLoS Comput. Biol..

Training Recurrent Nets of Hardware Realisable Sigma-PI Units

Kevin N. Gurney, 1992, Int. J. Neural Syst..

Learning in networks of structured hypercubes

Kevin N. Gurney, 1989 .

Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia

Mark D. Humphries, Kevin N. Gurney, K. Gurney, 2021, Biological Cybernetics.