Search Results - "Trappenberg, Thomas P."

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  1. 1

    Spatial interactions in the superior colliculus predict saccade behavior in a neural field model by Marino, Robert A, Trappenberg, Thomas P, Dorris, Michael, Munoz, Douglas P

    Published in Journal of cognitive neuroscience (01-02-2012)
    “…During natural vision, eye movements are dynamically controlled by the combinations of goal-related top-down (TD) and stimulus-related bottom-up (BU) neural…”
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    Journal Article
  2. 2

    A Novel Model for Arbitration Between Planning and Habitual Control Systems by Sheikhnezhad Fard, Farzaneh, Trappenberg, Thomas P

    Published in Frontiers in neurorobotics (11-07-2019)
    “…It is well-established that human decision making and instrumental control uses multiple systems, some which use habitual action selection and some which…”
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    Journal Article
  3. 3

    A model of saccade initiation based on the competitive integration of exogenous and endogenous signals in the superior colliculus by Trappenberg, T P, Dorris, M C, Munoz, D P, Klein, R M

    Published in Journal of cognitive neuroscience (15-02-2001)
    “…Significant advances in cognitive neuroscience can be achieved by combining techniques used to measure behavior and brain activity with neural modeling. Here…”
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    Journal Article
  4. 4

    Modeling human target reaching with an adaptive observer implemented with dynamic neural fields by S. Fard, Farzaneh, Hollensen, Paul, Heinke, Dietmar, Trappenberg, Thomas P.

    Published in Neural networks (01-12-2015)
    “…Humans can point fairly accurately to memorized states when closing their eyes despite slow or even missing sensory feedback. It is also common that the arm…”
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  5. 5

    A rapid event-related potential (ERP) method for point-of-care evaluation of brain function: Development of the Halifax Consciousness Scanner by Sculthorpe-Petley, Lauren, Liu, Careesa, Ghosh Hajra, Sujoy, Parvar, Hossein, Satel, Jason, Trappenberg, Thomas P., Boshra, Rober, D’Arcy, Ryan C.N.

    Published in Journal of neuroscience methods (30-04-2015)
    “…•Our method evokes the N100, MMN, P300, ENE, and N400 in about 5min.•These ERPs were verified at the group level using traditional statistics.•Single subject…”
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    Journal Article
  6. 6

    Learning what matters: A neural explanation for the sparsity bias by Hassall, Cameron D., Connor, Patrick C., Trappenberg, Thomas P., McDonald, John J., Krigolson, Olave E.

    Published in International journal of psychophysiology (01-05-2018)
    “…The visual environment is filled with complex, multi-dimensional objects that vary in their value to an observer's current goals. When faced with…”
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    Journal Article
  7. 7

    An elemental model of retrospective revaluation without within-compound associations by Connor, Patrick C., Lolordo, Vincent M., Trappenberg, Thomas P.

    Published in Learning & behavior (01-03-2014)
    “…When retrospective revaluation phenomena (e.g., unovershadowing: AB+, then A−, then test B) were discovered, simple elemental models were at a disadvantage…”
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    Detection of event-related potentials in individual subjects using support vector machines by Parvar, Hossein, Sculthorpe-Petley, Lauren, Satel, Jason, Boshra, Rober, D’Arcy, Ryan C. N., Trappenberg, Thomas P.

    Published in Brain informatics (01-03-2015)
    “…Event-related potentials (ERPs) are tiny electrical brain responses in the human electroencephalogram that are typically not detectable until they are isolated…”
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    Journal Article
  10. 10

    Modeling the integration of expectations in visual search with centre-surround neural fields by Salmon, Joshua P., Trappenberg, Thomas P.

    Published in Neural networks (01-12-2008)
    “…Centre-Surround Neural Field (CSNF) models were used to explain a possible mechanism by which information from different sources may be integrated into target…”
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    Journal Article
  11. 11

    A unified model of spatial and episodic memory by Rolls, E. T., Stringer, S. M., Trappenberg, T. P.

    “…Medial temporal lobe structures including the hippocampus are implicated by separate investigations in both episodic memory and spatial function. We show that…”
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    Journal Article
  12. 12

    Modelling divided visual attention with a winner-take-all network by Standage, Dominic I., Trappenberg, Thomas P., Klein, Raymond M.

    Published in Neural networks (01-07-2005)
    “…Experimental evidence on the distribution of visual attention supports the idea of a spatial saliency map, whereby bottom-up and top-down influences on…”
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    Journal Article Conference Proceeding
  13. 13

    Aftereffects of Saccades Explored in a Dynamic Neural Field Model of the Superior Colliculus by Wang, Zhiguo, Satel, Jason, Trappenberg, Thomas P., Klein, Raymond M.

    Published in Journal of eye movement research (24-05-2011)
    “…When viewing a scene or searching for a target, an observer usually makes a series of saccades that quickly shift the orientation of the eyes. The present…”
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    Journal Article
  14. 14

    Multi-packet regions in stabilized continuous attractor networks by Trappenberg, Thomas P., Standage, Dominic I.

    Published in Neurocomputing (Amsterdam) (01-06-2005)
    “…Continuous attractor neural networks are recurrent networks with center–surround interaction profiles that are common ingredients in many neuroscientific…”
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    Journal Article
  15. 15

    Mixing Habits and Planning for Multi-Step Target Reaching Using Arbitrated Predictive Actor-Critic by Fard, Farzaneh S., Trappenberg, Thomas P.

    “…Internal models are important when agents make decisions based on predictions of future states and their utilities. However, using internal models for planning…”
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    Conference Proceeding
  16. 16

    Selecting inputs for modeling using normalized higher order statistics and independent component analysis by Back, A.D., Trappenberg, T.P.

    Published in IEEE transactions on neural networks (01-05-2001)
    “…The problem of input variable selection is well known in the task of modeling real-world data. In this paper, we propose a novel model-free algorithm for input…”
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    Journal Article
  17. 17

    A Novel Model for Arbitration between Planning and Habitual Control Systems by Fard, Farzaneh S, Trappenberg, Thomas P

    Published 06-12-2017
    “…It is well established that humans decision making and instrumental control uses multiple systems, some which use habitual action selection and some which…”
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    Journal Article
  18. 18

    Avoiding Confusion between Predictors and Inhibitors in Value Function Approximation by Connor, Patrick C, Trappenberg, Thomas P

    Published 19-12-2013
    “…In reinforcement learning, the goal is to seek rewards and avoid punishments. A simple scalar captures the value of a state or of taking an action, where…”
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    Journal Article
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    Differences in the subthreshold dynamics of leaky integrate-and-fire and Hodgkin-Huxley neuron models by Standage, D.I., Trappenberg, T.P.

    “…Many spiking neuron models have been proposed over the last decades with varying computational complexity and abstraction from biological neurons. Among the…”
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    Conference Proceeding