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Australian State/Territory : QLD
Research Topic : behavioural
Socio-Economic Objective : Expanding Knowledge in Technology
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  • Funded Activity

    Australian Laureate Fellowships - Grant ID: FL140100197

    Funder
    Australian Research Council
    Funding Amount
    $2,970,898.00
    Summary
    Revealing the invisible: new principles of vision in Australian animals. Revealing the invisible: new principles of vision in Australian animals. This project aims to reveal how the visual systems of marine creatures from the Great Barrier Reef receive and interpret colour and polarisation information, much of which is invisible to the human eye. It aims to utilise this data to tackle fundamental questions in neuroscience and inform bio-inspired camera design and machine-vision solutions. The re .... Revealing the invisible: new principles of vision in Australian animals. Revealing the invisible: new principles of vision in Australian animals. This project aims to reveal how the visual systems of marine creatures from the Great Barrier Reef receive and interpret colour and polarisation information, much of which is invisible to the human eye. It aims to utilise this data to tackle fundamental questions in neuroscience and inform bio-inspired camera design and machine-vision solutions. The resulting new generation of polarisation cameras will be used to characterise the environments, animals and brains that inspired them in the first place. This will help the understanding of how nervous systems convey information and may improve our ability to detect dysfunction in neurons and other cells.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200101930

    Funder
    Australian Research Council
    Funding Amount
    $710,048.00
    Summary
    Stomatopods v Cephalopods: discovery from an information coding arms-race. This proposal aims to unlock the power of a 400 million year old evolutionary arms race between two of earth's most successful predators, cephalopods (e.g. octopus) and mantis shrimp (stomatopods). New knowledge in vision (sensor design), neural coding (circuits and information flow) and behavioural (decisions and actions) innovations from these two groups will have fundamental and applied outcomes. The interdisciplinary .... Stomatopods v Cephalopods: discovery from an information coding arms-race. This proposal aims to unlock the power of a 400 million year old evolutionary arms race between two of earth's most successful predators, cephalopods (e.g. octopus) and mantis shrimp (stomatopods). New knowledge in vision (sensor design), neural coding (circuits and information flow) and behavioural (decisions and actions) innovations from these two groups will have fundamental and applied outcomes. The interdisciplinary and comparative nature of the project aims to amplify outcomes in questions of efficient neural coding, optical design and bio-inspired solutions. Benefits from the study include GPS-free navigation in marine engineering and rapid exposure of research results to millions of people through existing communication programs.
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    Funded Activity

    Discovery Projects - Grant ID: DP120103216

    Funder
    Australian Research Council
    Funding Amount
    $962,000.00
    Summary
    New dimensions in colour and polarisation vision on The Great Barrier Reef. Many animals possess colour vision that outperforms humans and some also have a type of vision we lack altogether, polarisation vision. By comparing design and discovering strategies from the sensory systems of animals on The Great Barrier Reef, the project will enhance our knowledge of their sensory world, their ecosystem and broader visual neuroscience.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100431

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u .... Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.
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    Showing 1-4 of 4 Funded Activites

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