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Field of Research : Dynamical Systems
Socio-Economic Objective : Behavioural and cognitive sciences
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  • Funded Activity

    Discovery Projects - Grant ID: DP1094680

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    New mathematics of fractional diffusion for understanding cognitive impairment at the neuronal level. As Australia's population ages, cognitive impairment due to cortical ageing and neurodegeneration is looming as the nation's greatest health problem. The project will deliver new, more realistic, mathematical models for a mechanistic understanding of cognitive impairment at the neuronal level. This understanding is a vital first step in targeting drugs, e.g., to influence neuronal spine proper .... New mathematics of fractional diffusion for understanding cognitive impairment at the neuronal level. As Australia's population ages, cognitive impairment due to cortical ageing and neurodegeneration is looming as the nation's greatest health problem. The project will deliver new, more realistic, mathematical models for a mechanistic understanding of cognitive impairment at the neuronal level. This understanding is a vital first step in targeting drugs, e.g., to influence neuronal spine properties, for preventative health care. The project will maintain international collaborations, between applied mathematicians at UNSW, Sydney and biomathematicians and neuroscientists at Mount Sinai School of Medicine, New York, providing ongoing training opportunities for Australian scientists in this cutting edge biomathematical research.
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    Funded Activity

    Discovery Projects - Grant ID: DP0559949

    Funder
    Australian Research Council
    Funding Amount
    $247,000.00
    Summary
    Complexity in a mesoscopic model of brain dynamics. Research into how the brain work remains at the frontier of human knowledge. We possess only the vaguest idea how the brain is able to generate memories, perceptions and behaviour. This research proposal concerns new approaches aimed at bridging this gap in our understanding by developing and studying detailed theories of the brain's electrical activity. The outcomes of this work will not only suggest improved diagnostic methods and treatments .... Complexity in a mesoscopic model of brain dynamics. Research into how the brain work remains at the frontier of human knowledge. We possess only the vaguest idea how the brain is able to generate memories, perceptions and behaviour. This research proposal concerns new approaches aimed at bridging this gap in our understanding by developing and studying detailed theories of the brain's electrical activity. The outcomes of this work will not only suggest improved diagnostic methods and treatments but contribute vital knowledge about how to control and predict the behaviour of complex systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0879137

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    Neurobiological computation using self organization. Despite their phenomenal power and speed there are many simple things that computers still cannot do, that humans, and indeed many animals, are able to perform effortlessly. The research outlined in this proposal aims to develop new, biologically inspired, computational approaches that attempt to bridge this gap. This research will help place Australia, despite its relatively small size, as a leading research community in the development of .... Neurobiological computation using self organization. Despite their phenomenal power and speed there are many simple things that computers still cannot do, that humans, and indeed many animals, are able to perform effortlessly. The research outlined in this proposal aims to develop new, biologically inspired, computational approaches that attempt to bridge this gap. This research will help place Australia, despite its relatively small size, as a leading research community in the development of the next wave of computing devices. The development of new and "more natural" approaches to computing will deliver large dividends to a range of social, economic and environmental problems.
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