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Australian State/Territory : QLD
Research Topic : Sensory function
Field of Research : Behavioural Ecology
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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: DP150102710

    Funder
    Australian Research Council
    Funding Amount
    $497,800.00
    Summary
    How different is different: highly contrasting colours in animal patterns. Red apples in green trees and blue berries on the ground create very different visual signals to animals. Furthermore, elaborate animal colour patterns have evolved to render them conspicuous or camouflaged against their background. Despite the ecological and evolutionary importance of animal colour patterns, little is known about how larger colour contrasts and complex patterns are perceived by animals. This project aim .... How different is different: highly contrasting colours in animal patterns. Red apples in green trees and blue berries on the ground create very different visual signals to animals. Furthermore, elaborate animal colour patterns have evolved to render them conspicuous or camouflaged against their background. Despite the ecological and evolutionary importance of animal colour patterns, little is known about how larger colour contrasts and complex patterns are perceived by animals. This project aims to fill this knowledge gap specifically it endeavours: to provide useful tools for behavioural ecologists and visual neuroscientists, and to understand for the first time the full gamut of colour signalling in both terrestrial and aquatic environments.
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    Funded Activity

    Discovery Projects - Grant ID: DP110105389

    Funder
    Australian Research Council
    Funding Amount
    $230,000.00
    Summary
    The functions of reef fish colour patterns: how did the coral trout get its spots? How did the coral trout get its spots? Why are some reef fish striped yellow and blue while others dress in pink and orange blotches? This project goes beyond just interpreting animal colours and uses a new approach to reveal the meanings of whole body patterns. Uniquely, it does so through the eyes of the fish themselves.
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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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