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Research Topic : Externalising Behaviour Problems
Australian State/Territory : ACT
Field of Research : Zoology
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Animal Behaviour (5)
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  • Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120100019

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Miniaturisation: sensory limitations and navigational competence. Body size in most animals correlates with behavioural competence, brain capacity and sensory receptors. But since the navigational challenges faced by animals both big and small are similar, this project aims to identify the sensory and behavioural costs of miniaturisation and the strategies animals have evolved to cope with it.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT140100221

    Funder
    Australian Research Council
    Funding Amount
    $770,507.00
    Summary
    Information processing at its limits: from the dimmest habitats to the smallest sizes. Ensuring optimal information processing at the limits of size and ambient light is a challenge for technical systems, but has been elegantly solved by animals. The challenge of navigation is similar for animals of all sizes and in both day and night. This project aims to conduct a comparative analysis to identify the consequence of size and light on the information processing capacities for visual navigation. .... Information processing at its limits: from the dimmest habitats to the smallest sizes. Ensuring optimal information processing at the limits of size and ambient light is a challenge for technical systems, but has been elegantly solved by animals. The challenge of navigation is similar for animals of all sizes and in both day and night. This project aims to conduct a comparative analysis to identify the consequence of size and light on the information processing capacities for visual navigation. Outcomes of this project will reveal the behavioural and physiological adaptations needed and the costs associated with navigating in the dimmest of habitats and at the smallest of sizes. Identifying such optimal biological solutions for robust navigation will be relevant for image processing, computer vision and robotics.
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    Funded Activity

    Discovery Projects - Grant ID: DP150101172

    Funder
    Australian Research Council
    Funding Amount
    $913,900.00
    Summary
    Navigating brains: the neurobiology of spatial cognition. Navigation is one of the most crucial and most challenging problems animals face. Behavioural analyses have shown that animals make use of a number of different mechanisms to navigate, but very little is known of how different forms of spatial information are processed and integrated by the brain. The project aims to tackle this by placing tethered ants in a virtual-reality simulation of their real environment allowing precise control of .... Navigating brains: the neurobiology of spatial cognition. Navigation is one of the most crucial and most challenging problems animals face. Behavioural analyses have shown that animals make use of a number of different mechanisms to navigate, but very little is known of how different forms of spatial information are processed and integrated by the brain. The project aims to tackle this by placing tethered ants in a virtual-reality simulation of their real environment allowing precise control of visual navigational cues, as well as the opportunity to study the brains of the tethered ants as they solve the real-world challenge of finding home. This may reveal how simple brains efficiently solve navigational tasks, which may inform both cognitive biology and bio-inspired computation.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT140100452

    Funder
    Australian Research Council
    Funding Amount
    $690,204.00
    Summary
    Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this .... Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this model will test what is understood about the operation of the animal brain, and what simulates it. This project aims to reveal how neural circuits make complex decisions; establish key principles and foundational studies for comprehending larger more complex brains, and yield new approaches to machine learning.
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    Funded Activity

    Discovery Projects - Grant ID: DP150102699

    Funder
    Australian Research Council
    Funding Amount
    $386,200.00
    Summary
    Acquiring and Using Views for Homing. The aim of the project is to investigate how insects acquire and use scene memories for homing, a crucially important task for most animals. In bees and wasps, these memories are acquired during learning flights when leaving the nest. This fast, active learning process underpins much of the insects' navigational competence, but it remains unknown how it is controlled and how in detail memories guide returns to the nest. It is intended to use the latest camer .... Acquiring and Using Views for Homing. The aim of the project is to investigate how insects acquire and use scene memories for homing, a crucially important task for most animals. In bees and wasps, these memories are acquired during learning flights when leaving the nest. This fast, active learning process underpins much of the insects' navigational competence, but it remains unknown how it is controlled and how in detail memories guide returns to the nest. It is intended to use the latest camera-based reconstruction tools for the first time: to quantify the navigational information content of habitats including the visual information available to learning and homing insects, and to dynamically modify the insects’ natural visual environment in order to critically test hypotheses about acquisition and use of views for homing.
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