Prof Kevin Gurney (ABRG Co-director)

Contact

Department of Psychology, University of Sheffield, Sheffield, S10 2TP, UK.

Tel: +44 (0) 114 222 6566

Fax: +44 (0) 114 276 6515 (shared with department)

Email: k.gurney/at/sheffield.ac.uk

Research Interests

• Computational models of the basal ganglia at multiple levels of description
• Layered architectures in animals and robots
• Neuroinformatics
• Principal Investigator on the REVERB Project
• Co-Investigator on the CARMEN e-Science Project

Web resources

• SFN Annual Meeting (1998) Poster (Web version): A computational model of selective properties within basal ganglia: A reinterpretation of functional anatomy.

Peer-reviewed print articles

2010

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

2009

• Stafford, T., Gurney, K.N. & Ingram, L. (2009), Pieron’s Law holds in conditions of response conflict, Proceedings of the 31th Annual Conference of the Cognitive Science Society, (pp 2238-2243, eds N.A. Taatgen & H. van Rijn). Cognitive Science Society.

2008

• Humphries, M. D. & Gurney, K. (2008), Network `small-world-ness': a quantitative method for determining canonical network equivalences, PLoS One, 3:e0002051.

2007

• Humphries, M. D., Gurney, K. & Prescott, T. J. (2007), Is there a brainstem substrate for action selection?, Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1485):1627-1639.
• Pearson M. J., Pipe A. G., Mitchinson B., Gurney K., Melhuish C., Gilhespy I., & Nibouche M. (2007), 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.
• Stafford, T. & Gurney, K.N. (2007), Biologically constrained action selection improves cognitive control in a model of the Stroop task, Philosophical Transactions of the Royal Society B: Biological Sciences, 362 (1485), 1671-1684.
• Bogacz R, Gurney K (2007), The basal ganglia and cortex implement optimal decision making between alternative actions. 19:442-477., Neural Computation, 19:442-477.
• Humphries, M. D. & Gurney, K. (2007), Solutions methods for simple model neurons, Neural Computation, 19:3216-3225. [Code]
• Humphries, M. D., & Gurney, K. (2007), A means to an end: validating models by fitting experimental data, Neurocomputing, 70:1892-1896. [Code]

2006

• Gurney K.N. (2006), Neural networks for perceptual processing: from simulation tools to theories. , Philos Trans R Soc Lond B Biol Sci , 362:339-353..
• Redgrave, P. & Gurney, K. (2006), The short-latency dopamine signal: a role in discovering novel actions? , Nature Reviews Neuroscience, 7:967-975..
• Humphries, M. D., Gurney, K. & Prescott, T. J. (2006), The brainstem reticular formation is a small-world, not scale-free, network, Proceedings of the Royal Society B: Biological Sciences, 273:503-511.
• Prescott, T. J., Montes-Gonzalez, F., Gurney, K., Humphries, M. D. and Redgrave, P. (2006), A robot model of the basal ganglia: Behavior and intrinsic processing, Neural Networks, 19:31-61.
• Humphries, M. D., Stewart, R. D. & Gurney, K. (2006), A physiologically plausible model of action selection and oscillatory activity in the basal ganglia, Journal of Neuroscience, 26(50):12921-42. [Code]

2005

• Humphries, M. D., Gurney, K. & Prescott, T. J. (2005), 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, Adaptive Behaviour, 13:97-113.
• Pearson M, Gilhespy I, Gurney K, Melhuish C, Mitchinson B, Nibouche M, Pipe A (2005), A real-time, FPGA based, biologically plausible neural network processor, Proceedings of International Conference on Artificial Neural Networks (ICANN), LNCS 3697, pp. 1021-1026, Springer-Verlag: Berlin.
• Humphries, M., Gurney, K. & Prescott, T. (2005), Action selection in a macroscopic model of the brainstem reticular formation, Modelling Natural Action Selection, J. J. Bryson, T. J. Prescott & A. Seth, pp. 61-68, AISB Press.
• Stafford, T, & Gurney, K. (2005), The basal ganglia as the selection mechanism in a cognitive task, Modelling Natural Action Selection, J. J. Bryson, T. J. Prescott & A. Seth (Eds.), pp. 77-83, AISB Press.
• Chambers, J. M., Gurney, K., Humphries, M. & Prescott, T. (2005), Mechanisms of choice in the primate brain: a quick look at positive feedback, Modelling Natural Action Selection, J. J. Bryson, T. J. Prescott & A. Seth, pp. 45-52, AISB Press..

2004

• Gurney, K., Prescott, T.J., Wickens, J. R. & Redgrave, P. (2004), Computational models of the basal ganglia: from robots to membranes, Trends in Neurosciences, 27:453-459.
• Gurney, K., Humphries, M., Wood, R., Prescott, T.J. & Redgrave, P. (2004), Testing computational hypotheses of brain systems function: a case study with the basal ganglia, Network: Computation in Neural Systems, 15:263-290. [Code]
• Stafford, T. & Gurney, K. N. (2004), The role of response mechanisms in determining reaction time performance: Pieron’s Law revisited, Psychonomic Bulletin & Review, 11:975-987.
• Mitchinson, B. M., Gurney, K. N., Redgrave, P., Melhuish, C., Pipe, A. G., Pearson, M., Gilhespy, I. & Prescott, T. J. (2004), Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus-complex, Proceedings of the Royal Society B: Biological Sciences, 271:2509-2516.
• Wood, R., Gurney, K. N. & Wilson, C. J. (2004), A novel parameter optimisation technique for compartmental models applied to a model of a striatal medium spiny neuron, Neurocomputing, 58-60:1109-1116.
• Gurney, K. N. & Overton, P. G. (2004), A model of short and long range selective processing in neostriatum, Neurocomputing, 58-60:555-562.

2003

• Girard B, Cuzin V, Guillot A, Gurney KN, Prescott TJ (2003), Comparison of a “winner-takes-all” and a vertebrate inspired model of action selection embedded in a Lego Mindstorms robot , Journal of Integrative Neuroscience , 2:179-200.
• Humphries, M. D., Prescott, T. J. & Gurney, K. N. (2003), The interaction of recurrent axon collateral networks in the basal ganglia, Artifical Neural Networks and Neural Information Processing, O. Kaynak, E. Alpaydin, E. Oja & L. Xu (Eds.), ICANN/ICONIP 2003 (LNCS 2714) pp. 797-804, Berlin: Springer-Verlag.

2002

• Humphries, M. D. & Gurney, K. N. (2002), The role of intra-thalamic and thalamocortical circuits in action selection, Network: Computation in Neural Systems, 13:131-156. [Code]
• Girard, B., Cuzin, V., Guillot, A., Gurney, K., and Prescott, T.J. (2002), Comparing a brain-inspired robot action selection mechanism with winner-takes-all, From Animals to Animats 7: Proceedings of the Seventh International Conference on Simulation of Adaptive Behaviour, MIT Press, Cambridge, MA, pp. 75–84.
• Prescott, T. J., Gurney, K., Montes-Gonzalez, F., Humphries, M. and Redgrave, P. (2002), The robot basal ganglia: Action selection by an embedded model of the basal ganglia, Basal Ganglia VII, L. F. B. Nicholson and R. Faulls (Eds.) New York: Plenum Press.

2001

• Gurney, K., Redgrave, P. & Prescott, T.J. (2001b), A computational model of action selection in the basal ganglia II. Analysis and simulation of behaviour, Biological Cybernetics, 84:411-423.
• Gurney, K. N. (2001b), Information processing in dendrites II. Information theoretic complexity, Neural Networks, 14:1005-1022.
• Gurney, K., Redgrave, P. & Prescott, T.J. (2001a), A computational model of action selection in the basal ganglia I. A new functional anatomy, Biological Cybernetics, 84:401-410.
• Gurney, K. N. (2001a), Information processing in dendrites I. Input pattern generalisation, Neural Networks, 14:991-1004.
• Humphries, M. D. & Gurney, K. N. (2001), A pulsed neural network model of bursting in the basal ganglia, Neural Networks, 14:845-863.

2000

• Montes Gonzalez, F. Prescott, T.J., Gurney, K. Humphries, M., & Redgrave, P. (2000), An embodied model of action selection mechanisms in the vertebrate brain, From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behaviour, J-A. Meyer, A. Berthoz, D. Floreano, H. Roitblat, & S. W. Wilson (Eds.), Cambridge MA: MIT Press.

1999

• Prescott, T.J., Redgrave, P., & Gurney, K. (1999), Layered control architectures in robots and vertebrates, Adaptive Behavior, 7:99-127.
• Redgrave, P., Prescott, T.J. & Gurney, K. (1999), Is the short latency dopamine burst too short to signal reinforcement error?, Trends in Neurosciences, 22:146-151.
• Redgrave, P., Prescott, T.J. & Gurney, K. (1999), The basal ganglia: a vertebrate solution to the selection problem?, Neuroscience, 89:1009-1023.

1998

• Gurney, K., Prescott, T.J., & Redgrave, P. (1998), The basal ganglia viewed as an action selection device, The Proceedings of the International Conference on Artificial Neural Networks, Springer-Verlag: Berlin, pp1033-1038.

Other work

• Stafford, T. & Gurney, K.N. (2006), Computational Models of Cognition, An Introduction to Cognitive Psychology: Processes and Disorders. Second Edition, Ed. David Groome. Hove, UK: Psychology Press..
• Gurney KN, Prescott AJ, Redgrave P (2006), A Theoretical Treatment of Basal Banglia Function, Nova Science Pub Inc., (Bezard E, ed).
• Prescott, T. J., Gurney, K., and Redgrave, P. (2003), Basal Ganglia, The Handbook of Brain Theory and Neural Networks, M. A. Arbib (Ed.), 2nd Edition .
• Prescott, T. J. Gurney, K. Gonzalez, F. M., Humphries, M. & Redgrave, P. (2003), Action selection in a robot model of the basal ganglia: The role of simulated dopamine, Society for Neuroscience, Program No. 915.5.
• Wood, R. & Gurney, K.N. (2003), A Rapid Search Technique for Finding Maximal Conductances in Biophysical Models of Neural Membranes, British Neurosci. Assoc. Abstr., 17:111.
• Redgrave, P., Prescott, T.J. & Gurney, K. (2003), Selection and the basal ganglia: A role for dopamine, Basal Ganglia VI,, Graybiel, A.M and DeLong, M. (Eds.). New York: Kluwer.
• Wood, R. & Gurney, K.N. (2002), A New Parametric Search Technique for Biophysical Models: A Study in the Rat Neostriatal Projection Neuron, Society For Neuroscience Abstracts, Program No. 764.16, Washington, DC..
• Wood, R., Gurney, K. & Redgrave, P. (2001), 'Direct Pathway' Connections to Globus Pallidus in a Computational Model of the Basal Ganglia, British Neurosci. Assoc. Abstr., 16:79.
• Humphries, M. D. & Gurney, K. (2000), A computational model of action selection in the basal ganglia: Thalamic and cortical interactions, European Journal of Neuroscience, 12, supp. 11, 260.10.
• Humphries, M. D. & Gurney, K. (1999), A computational model of action selection in the basal ganglia: Thalamic and cortical interactions, Technical Report AIVRU132, The University of Sheffield.
• Gurney, K., Redgrave, P. & Prescott, T.J. (1998), Analysis and simulation of a model of intrinsic processing in the basal ganglia, Technical Report AIVRU131, The University of Sheffield.
• Redgrave, P., Prescott, T.J., & Gurney, K. (1997), The basal ganglia: a neural architecture for conflict resolution, Soc Neurosci Abstr, 23:192.