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Socio-Economic Objective : Mathematical sciences
Research Topic : Spatial Memory
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  • Funded Activity

    Linkage Projects - Grant ID: LP0562070

    Funder
    Australian Research Council
    Funding Amount
    $72,444.00
    Summary
    What is the spatial and environmental distribution of phylogenetic diversity in the Australian biota? Almost nothing is known about the geographic distribution of phylogenetic relationships across Australia at fine resolutions of the order of tens of kilometres. The aim of this research is to map the spatial patterns of phylogenetic diversity in the Australian biota and identify possible environmental controls over them. We will analyse five disparate groups at a spatial resolution that is ord .... What is the spatial and environmental distribution of phylogenetic diversity in the Australian biota? Almost nothing is known about the geographic distribution of phylogenetic relationships across Australia at fine resolutions of the order of tens of kilometres. The aim of this research is to map the spatial patterns of phylogenetic diversity in the Australian biota and identify possible environmental controls over them. We will analyse five disparate groups at a spatial resolution that is orders of magnitude finer than previous research, analysing their relationship with possible environmental controls using advanced spatial analysis methods. The knowledge we will generate about the spatial distribution of these relationships is essential to understand and conserve Australia's unique biodiversity.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0990811

    Funder
    Australian Research Council
    Funding Amount
    $686,400.00
    Summary
    Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms. The project will contribute significantly to the advancement of knowledge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applications .... Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms. The project will contribute significantly to the advancement of knowledge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applications including consistency checking and spatial query pre-processing. The project will help in extracting knowledge from massive spatial databases, meeting the growing needs of naive users for spatial information and establishing Australia as a major player in spatial cognition research and in the development of geo-location services.
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    Funded Activity

    Discovery Projects - Grant ID: DP1094974

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Generalised quantum models of complexity with application to cognitive systems. Non-separable systems surround us. Our transportation, taxation, schooling, environmental and social policies are all interrelated, and it is increasingly recognised that we cannot consider them in isolation. Such systems are generally deemed complex, and it is often impossible to separate them from one another. Despite this, many of our most advanced modelling techniques are grounded in principles of separability a .... Generalised quantum models of complexity with application to cognitive systems. Non-separable systems surround us. Our transportation, taxation, schooling, environmental and social policies are all interrelated, and it is increasingly recognised that we cannot consider them in isolation. Such systems are generally deemed complex, and it is often impossible to separate them from one another. Despite this, many of our most advanced modelling techniques are grounded in principles of separability and non-contextuality. This project will develop a new set of models of non-separable systems and complexity that will in turn lead to new frontier technologies and theories.
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    Funded Activity

    Discovery Projects - Grant ID: DP0985143

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    Investigating evidence of control system dynamics in visuomotor skill acquisition using multimodal functional magnetic resonance imaging. This project brings together mathematical and engineering methods with cognitive neuroscience in a novel way to better understand the fundamental processes associated with brain imaging, and the acquisition of motor skills. An improved understanding of the function of regions within the motor network will have a direct benefit for the rehabilitation of patient .... Investigating evidence of control system dynamics in visuomotor skill acquisition using multimodal functional magnetic resonance imaging. This project brings together mathematical and engineering methods with cognitive neuroscience in a novel way to better understand the fundamental processes associated with brain imaging, and the acquisition of motor skills. An improved understanding of the function of regions within the motor network will have a direct benefit for the rehabilitation of patients suffering motor deficits from developmental causes, following traumatic brain injuries, and after stroke and other neurodegenerative diseases. The outcomes of the research will also contribute to our understanding of the complexity of brain networks involved in motor skill acquisition.
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    Funded Activity

    Discovery Projects - Grant ID: DP0984558

    Funder
    Australian Research Council
    Funding Amount
    $475,000.00
    Summary
    Integrating holistic processing and face-space approaches to the perception of facial identity. Recognising faces is a socially crucial task, and humans are remarkably good at it. Scientists investigating the 'software' our brains use to recognise faces have referred to two different theories -- one when explaining why we distinguish faces better than objects, and the other in explaining why we distinguish some people's faces more easily than others. The project aims to integrate these two theor .... Integrating holistic processing and face-space approaches to the perception of facial identity. Recognising faces is a socially crucial task, and humans are remarkably good at it. Scientists investigating the 'software' our brains use to recognise faces have referred to two different theories -- one when explaining why we distinguish faces better than objects, and the other in explaining why we distinguish some people's faces more easily than others. The project aims to integrate these two theories. This has two potential long-term benefits: it will give a stronger basis for understanding what goes wrong in people where face recognition does not develop normally; and, the improved knowledge from a biological system may also lead to improved computer face recognition algorithms (eg. for airport security).
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