Prof Kevin Gurney's Publications\Journal Articles Books Book Chapters Journal ArticlesLepora, N. F., Hoyland, D., OVERTON, P. G., & GURNEY, K. (In press). A simple method for characterizing passive and active neuronal properties applied to striatal neurons. Eur J. Neurosci
Lepora, N. F., Overton, P. G., & GURNEY, K. (2011). Efficient fitting of conductance-based model neurons from somatic current clamp. J. Comp . Neurosci
Bogacz, R., & Gurney, K. (2007). The basal ganglia and cortex implement optimal decision making between alternative actions. Neural Computation, 19, 442-477.
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Humphries, M. D., & Gurney, K. (2007). A means to an end: validating models by fitting experimental data. Neurocomputing, 70, 1892-1896.
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Stafford, T., & Gurney, K. (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 (Special issue on modelling action selection).
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Gurney, K. (2006). Neural networks for perceptual processing: from simulation tools to theories. Philos Trans R Soc Lond B Biol Sci, 362, 339-353.
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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.
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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), 12921-12942.
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Prescott, T. J., Montes-Gonzalez, F., Gurney, K., Humphries, M. D., & Redgrave, P. (2006). A robot model of the basal ganglia: Behavior and intrinsic processing. Neural Networks, 19, 31-61.
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Redgrave, P., & Gurney, K. (2006). The short-latency dopamine signal: a role in discovering novel actions? Nature Reviews Neuroscience, 7, 967-975.
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Stafford, T., & Gurney, K. (2006). Biologically constrained action selection improves cognitive control in a model of the Stroop task. Philosophical Transactions of the Royal Society Series B, Special issue on modelling action selection.
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 Behavior, 13, 97-113.
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Stafford, T., & Gurney, K. (2005). The role of response mechanisms in determining reaction time performance: Pieron's law revisited. Psychonomic Bulletin & Review, 11, 975-987.
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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.
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GURNEY, K., & OVERTON, P. G. (2004). A model of short and long-range selective processes in neostriatum. Neurocomputing, (58 - 60), 555 - 562.
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.
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Gurney, K. N., & Overton, P. G. (2004). A model of short and long-range selective processes in neostriatum. Neurocomputing, 58-60, 555-562.
Mitchinson, B., Gurney, K., Redgrave, P., Melhuish, C., Pipe, A. G., Pearson, M. J., et al. (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.
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Stafford, T., & Gurney, K. (2004). The Role of Response Mechanisms in Determining Reaction Time Performance: Pieron's Law Revisited. Psychonomic Bulletin Review, 11(6), 975-987.
Wood, R., Gurney, K., & 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.
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Girard, B., Cuzin, V., Guillot, A., Gurney, K., & Prescott, T. J. (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.
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HUMPHRIES, M. D., PRESCOTT, T. J., & GURNEY, K. (2003). The interaction of recurrent axon collateral networks in the basal ganglia. Artificial Neural Networds and Neural Information Processing - ICAN/ICONIP.
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Pegg, E. J., Gurney, K., Parks, R. W., & Prescott, A. J. (2003). Reliability and Validity of a Paced Computer Stroop Task for fMRI Reliability and validity of a paced computer Stroop task for fMRI. Archives of Clinical Neuropsychology, 18, 755.
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HUMPHRIES, M. D., & GURNEY, K. (2002). The role of intra-thalamic and thalamocortical circuits in action selection. Network: Computation in Neural Systems, 13, 131-156.
GURNEY, K. (2001). Information processing in dendrites II: information theoretic complexity. Neural Networks, 14, 1005-1022.
GURNEY, K. (2001). Information processing in dendrites I: input pattern generalisation. Neural Networks, 14, 991-1004.
GURNEY, K., PRESCOTT, T. J., & REDGRAVE, P. (2001). A computational model of action selection in the basal ganglia II: Analysis and simulation of behaviour. Biological Cybernetics, 84, 411-423.
GURNEY, K., PRESCOTT, T. J., & REDGRAVE, P. (2001). A computational model of action selection in the basal ganglia I: A new functional anatomy. Biological Cybernetics, 84, 401-410.
HUMPHRIES, M. D., & GURNEY, K. (2001). A pulsed neural network model of bursting in the basal ganglia. Neural Networks, 14, 845-863.
PRESCOTT, T. J., REDGRAVE, P., & GURNEY, K. (1999). Layered control architectures in robots and vertebrates. Adaptive Behavior, 7, 99-127.
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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.
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REDGRAVE, P., PRESCOTT, T. J., & GURNEY, K. (1999). The basal ganglia: a vertebrate solution to the selection problem? Neuroscience, 89, 1009-1023.
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Wright, M. J., & GURNEY, K. (1999). Visual discrimination of direction changes based upon two types of angular motion. Vision Research, 39, (11): 1927-1941.
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GURNEY, K., PRESCOTT, A., & REDGRAVE, P. (1998). A model of intrinsic processing in the basal ganglia. "Proceedings of the 2nd Int. Conf. on cognitive and neural systems, Boston".
GURNEY, K., PRESCOTT, A., & REDGRAVE, P. (1998). The basal ganglia viewed as an action selection device. "In The Proceedings of the Eighth International Conference on Artificial Neural Networks, Sksvde, Sweden", 1033-1038.
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GURNEY, K., & Wright, M. (1998). Analysis of direction and orientation changes in plaid stimuli. "Proceedings of ECVP '98, Oxford, UK."
GURNEY, K. (1997). An Introduction to Neural Networks. UCL Press (Taylor & Francis group).
Wright, M. J., & GURNEY, K. (1997). Coherence and motion transparency in rigid and non-rigid plaids. Perception, 26, 553-567.
GURNEY, K., & Wright, M. J. (1996). A biologically plausible model of early visual motion processing II: Psychophysical application. Biological Cybernetics, 74, 349-358.
GURNEY, K., & Wright, M. J. (1996). A model for the spatial integration and differentiation of velocity signals. Vision Research, 36, 2939-2955.
GURNEY, K., & Wright, M. J. (1996). Rotation and radial motion thresholds support a 2-stage model of differential motion analysis. Perception, 25, 5-26.
GURNEY, K., & Wright, M. J. (1996). A biologically plausible model of early visual motion processing I: Theory and implementation. Biological Cybernetics, 74, 339-348.
Wright, M. J., & GURNEY, K. (1996). Thresholds for detecting change in shape. Applied Vision Association Newsletter, 117, 33-34.
GURNEY, K. (1995). Untitled. Neural Networks, 8, (3)489-489.
Wright, M. J., & GURNEY, K. (1995). From spatiotemporal tuning to velocity analysis. In Basic and Clinical Perspectives on Vision Research Kluwer.
Wright, M. J., & GURNEY, K. (1995). Discrimination of rotation sense in gratings and plaids. Investigative Ophthalmology & Visual Science, 36, S 635-S 635.
Wright, M. J., & GURNEY, K. (1995). The discrimination of dynamic orientation changes in gratings. Perception, 24, 665-679.
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Bolouri, H., Morgan, P., & GURNEY, K. (1994). "Design, Manufacture and Evaluation Of a Scalable High-Performance Neural System." Electronics Letters, 30, (5) pp 426-427.
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GURNEY, K. (1993). Training Nets Of Stochastic Units Using System-Identification. Neural Networks, 6, (1)133-145.
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GURNEY, K. (1992). Training nets of hardware realizable sigma-pi units. Neural Networks, 5, (2)289-303.
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GURNEY, K. (1992). Training Recurrent Nets of Hardware realisable Sigma-Pi Units. International Journal of Neural Systems, 3, 31-42.
GURNEY, K. (1992). Weighted Nodes and RAM-Nets: A Unified Approach. Journal of Intelligent Systems, 2, 155-186.
GURNEY, K., & Wright, M. J. (1992). A self-organizing neural network model of image velocity encoding. Biological Cybernetics, 68, (2)173-181.
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GURNEY, K., & Wright, M. J. (1992). Digital Nets and intelligent systems. Journal of Intelligent Systems, 2, 1-10.
GURNEY, K., & Wright, M. J. (1992). Coherence and transparency in nonrigid plaid motion. Perception, 20, (1)84-84.
Wright, M. J., & GURNEY, K. (1992). Dependence of stereomotion on the orientation of spatial-frequency components. Ophthalmic and Physiological Optics, 12, 264-268.
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Wright, M. J., & GURNEY, K. (1992). "Coherence, transparency and the discrimination of rigid and nonrigid motion." Investigative Ophthalmology & Visual Science, 33, 1050-1050.
Wright, M. J., & GURNEY, K. (1992). Lower threshold of motion for one-dimensional and 2-dimensional patterns in central and peripheral-vision. Vision Research, 32, 121-134.
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Wright, M. J., & GURNEY, K. (1991). Solving the aperture problem for stereoscopic motion in depth. Perception, 20, 120-120.
GURNEY, K., & Wright, M. J. (1990). A neural model of velocity encoding. Perception, 19, (3)401-402.
Wright, M. J., & GURNEY, K. (1990). Speed discrimination and motion detection in 2-dimensional patterns. Perception, 19, 341-342.
BooksStafford, T., & Gurney, K. (2006). Computational Models of Cognition.: Hove, UK: Psychology Press.
PRESCOTT, T. J., GURNEY, K., & REDGRAVE, P. (2002). MIT Press.
GURNEY, K. (1997). An Introduction to Neural Networks.: UCL Press. (Taylor & Francis group).
Book ChaptersStafford, T., & Gurney, K. (2005). The basal ganglia as the selection mechanism in a cognitive task. In J. J. Bryson, T. J. Prescott & A. Seth (Eds.), Modelling Natural Action Selection (pp. 77-83): AISB Press.
Pearson, M., Gilhespy, I., Gurney, K., Melhuish, C., Mitchinson, B., Nibouche, M., et al. (2005). A real-time, FPGA based, biologically plausible neural network processor. In Proceedings of International Conference on Artificial Neural Networks (ICANN), LNCS 3697 (pp. 1021-1026). Berlin: Springer-Verlag.
Humphries, M., Gurney, K., & Prescott, T. J. (2005). Action selection in a macroscopic model of the brainstem reticular formation. In J. J. Bryson, T. J. Prescott & A. Seth (Eds.), Modelling Natural Action Selection (pp. 61-68): AISB Press.
Chambers, J. M., Gurney, K., Humphries, M., & Prescott, T. J. (2005). Mechanisms of choice in the primate brain: a quick look at positive feedback,. In J. J. Bryson, T. J. Prescott & A. Seth (Eds.), Modelling Natural Action Selection: AISB Press.
Groome, D., Dewart, H., Esgate, A., GURNEY, K., & Towell, N. (1999). Computational Models of Cognition. In An Introduction to Cognitive Psychology: Processes and Disorders. (pp. 261-291): Psychology Press.
Wright, M. J., & GURNEY, K. (1995). From spatiotemporal tuning to velocity analysis. In Basic and Clinical Perspectives on Vision Research Kluwer.
Last update: 10 Nov 2011
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