Search Results - "Bugmann, G."

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  1. 1

    Superficial warming and cooling of the leg affects walking speed and neuromuscular impairments in people with spastic paraparesis by Denton, A, Bunn, L, Hough, A, Bugmann, G, Marsden, J

    “…Abstract Background People with hereditary and spontaneous spastic paraparesis (HSSP) report that their legs are stiffer and walking is slower when their legs…”
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    Journal Article
  2. 2

    Neural network design for engineering applications by Rafiq, M.Y, Bugmann, G, Easterbrook, D.J

    Published in Computers & structures (01-07-2001)
    “…Computers are an integral part of day to day activities in engineering design and engineers have utilised various applications to assist them improve their…”
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    Journal Article
  3. 3

    Application of arachnid prey localisation theory for a robot sensorimotor controller by Adams, S.V., Wennekers, T., Bugmann, G., Denham, S., Culverhouse, P.F.

    Published in Neurocomputing (Amsterdam) (01-10-2011)
    “…We extend an existing spiking neural model of arachnid prey orientation sensing with a view to potentially using it in robotics applications. Firstly, we have…”
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    Journal Article
  4. 4

    On quaternion based parameterization of orientation in computer vision and robotics by Terzakis, G., Culverhouse, P., Bugmann, G., Sharma, S., Sutton, R.

    “…The problem of orientation parameterization for applications in computer vision and robotics is examined in detail herein. The necessary intuition and formulas…”
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    Journal Article
  5. 5

    Cellular Automata Model for Predicting the Failure Pattern of Laterally Loaded Masonry Wall Panels by Zhou, G. C, Rafiq, M. Y, Bugmann, G, Easterbrook, D. J

    Published in Journal of computing in civil engineering (01-11-2006)
    “…This paper introduces a technique that directly predicts the failure patterns of laterally loaded masonry panels based on the results of existing typical…”
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    Journal Article
  6. 6

    Training personal robots using natural language instruction by Lauria, S, Bugmann, G, Kyriacou, T, Bos, J, Klein, A

    Published in IEEE intelligent systems (01-09-2001)
    “…As domestic robots become pervasive, uninitiated users will need a way to instruct them to adapt to their particular needs. Researchers are designing a…”
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    Journal Article
  7. 7

    Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography by Al-Timemy, A. H., Bugmann, G., Escudero, J., Outram, N.

    “…A method for the classification of finger movements for dexterous control of prosthetic hands is proposed. Previous research was mainly devoted to identify…”
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  8. 8

    The impact of spoken interfaces on the design of service robots by Bugmann, G., Wolf, J.C., Robinson, P.

    Published in Industrial robot (01-12-2005)
    “…Purpose - Service robots need to be programmable by their users who are in general unskilled in the art of robot programming. We have explored the use of…”
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    Journal Article
  9. 9

    Normalized Gaussian Radial Basis Function networks by Bugmann, Guido

    Published in Neurocomputing (Amsterdam) (01-08-1998)
    “…The performances of normalised RBF (NRBF) nets and standard RBF nets are compared in simple classification and mapping problems. In normalized RBF networks,…”
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    Journal Article
  10. 10
  11. 11

    Mobile robot programming using natural language by Lauria, Stanislao, Bugmann, Guido, Kyriacou, Theocharis, Klein, Ewan

    Published in Robotics and autonomous systems (31-03-2002)
    “…How will naive users program domestic robots? This paper describes the design of a practical system that uses natural language to teach a vision-based robot…”
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    Journal Article
  12. 12

    Synaptic depression increases the selectivity of a neuron to its preferred pattern and binarizes the neural code by Bugmann, Guido

    Published in BioSystems (01-10-2002)
    “…The preferred pattern of a neuron is defined here by the set of features detected by its excitatory inputs. It is shown that the Leaky integrate-and-fire (LIF)…”
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    Journal Article
  13. 13

    Converting natural language route instructions into robot executable procedures by Lauria, S., Bugmann, G., Kyriacou, T., Bos, J., Klein, E.

    “…Humans explaining a task to a robot use chunks of actions that are often complex procedures for robots. An instructable robot needs to be able to map such…”
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    Conference Proceeding
  14. 14

    Vision-based urban navigation procedures for verbally instructed robots by Kyriacou, Theocharis, Bugmann, Guido, Lauria, Stanislao

    Published in Robotics and autonomous systems (30-04-2005)
    “…When humans explain a task to be executed by a robot they decompose it into chunks of actions. These form a chain of search-and-act sensory-motor loops that…”
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    Journal Article
  15. 15

    Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain? by Christodoulou, Chris, Bugmann, Guido

    Published in Neurocomputing (Amsterdam) (01-06-2001)
    “…A number of models have been produced recently to explain the high variability of natural spike trains (Softky and Koch, J. Neurosci. 13 (1) (1993) 334). These…”
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    Journal Article
  16. 16

    Biologically plausible neural computation by Bugmann, Guido

    Published in BioSystems (1997)
    “…The function of a neuron can be described simultaneously at several levels of abstraction. For instance, a spike train represents the result of a computation…”
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    Journal Article
  17. 17

    Vision-based urban navigation procedures for verbally instructed robots by Kyriacou, T., Bugmann, G., Lauria, S.

    “…Humans who explain a task to a robot, or to another human, use chunks of actions that are often complex procedures for robots. An instructible robot needs to…”
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    Conference Proceeding
  18. 18

    Towards a neural model of timing by Bugmann, Guido

    Published in BioSystems (01-09-1998)
    “…This paper describes a neural model of interval timing, which reproduces the duration discrimination experiments of Wearden, J.H., 1992, J. Exp. Psychol. 18,…”
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    Journal Article
  19. 19

    A spiking neuron model: applications and learning by Christodoulou, Chris, Bugmann, Guido, Clarkson, Trevor G

    Published in Neural networks (01-09-2002)
    “…This paper presents a biologically inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic…”
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    Journal Article
  20. 20

    A model of visual backward masking by Bugmann, Guido, Taylor, John G.

    Published in BioSystems (2005)
    “…When two successive stimuli are presented within 0–200 ms intervals, the recognition of the first stimulus (the target) can be impaired by the second (the…”
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    Journal Article