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Socio-Economic Objective : Mathematical sciences
Research Topic : Sensory function
Australian State/Territory : ACT
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  • Funded Activity

    Special Research Initiatives - Grant ID: SR0354793

    Funder
    Australian Research Council
    Funding Amount
    $10,000.00
    Summary
    A Neural Network: Understanding Brain Function. This proposal focuses on the mechanisms that regulate brain function, particularly those underpinning the changes in circuitry (plasticity) caused by altered inputs. As such, its core goal is to create an interface between researchers in the neurosciences, computational modelling, robotics and cognitive sciences in order to facilitate optimum collaborative interactions, identify key research questions and promote training opportunities across a mul .... A Neural Network: Understanding Brain Function. This proposal focuses on the mechanisms that regulate brain function, particularly those underpinning the changes in circuitry (plasticity) caused by altered inputs. As such, its core goal is to create an interface between researchers in the neurosciences, computational modelling, robotics and cognitive sciences in order to facilitate optimum collaborative interactions, identify key research questions and promote training opportunities across a multidisciplinary spectrum. This will drive an integrated and accelerated program of discovery and technological development, enhancing Australia's leadership in this crucial field and helping to highlight new biotechnology opportunities and capture social and economic benefits for the nation.
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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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    Showing 1-2 of 2 Funded Activites

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