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Research Topic : Affective computing
Australian State/Territory : VIC
Field of Research : Sensory Systems
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP210102107

    Funder
    Australian Research Council
    Funding Amount
    $729,467.00
    Summary
    How the brain generates robust behaviour in noisy sensory environments. This project aims to investigate the origins of variability in the control of movements. This project expects to generate new knowledge in the area of sensory and motor neuroscience by determining how variability in the activity of sensory and motor neurons accounts for variability in the initiation and control of eye movements. Expected outcomes of this project include international collaboration, development of new methods .... How the brain generates robust behaviour in noisy sensory environments. This project aims to investigate the origins of variability in the control of movements. This project expects to generate new knowledge in the area of sensory and motor neuroscience by determining how variability in the activity of sensory and motor neurons accounts for variability in the initiation and control of eye movements. Expected outcomes of this project include international collaboration, development of new methods for imaging neural activity in vivo, and refinement of theories concerning the cause and implications of noise in the brain. This should provide significant benefits such as a better understanding of why our movements are variable, and whether it is desirable or possible to minimise this variability.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE180100344

    Funder
    Australian Research Council
    Funding Amount
    $383,551.00
    Summary
    Neural integration of feedforward and feedback circuits for decision-making. The aim of this project is to discover how cells in the brain combine different types of information to allow decisions to be made. This project will focus on the part of the brain that integrates multiple sources of information to guide choices to accomplish behavioural goals. Using novel electrophysiological and engineering techniques, this project intends to measure the influence of sensory and cognitive information .... Neural integration of feedforward and feedback circuits for decision-making. The aim of this project is to discover how cells in the brain combine different types of information to allow decisions to be made. This project will focus on the part of the brain that integrates multiple sources of information to guide choices to accomplish behavioural goals. Using novel electrophysiological and engineering techniques, this project intends to measure the influence of sensory and cognitive information relayed by other brain areas, and to determine how this correlates with behaviour. The intended outcome of this project is a new understanding of how information is processed in brain cells. This should benefit the development of neural engineering devices.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT120100619

    Funder
    Australian Research Council
    Funding Amount
    $714,513.00
    Summary
    The neuronal bases of consciousness and attention. Why and how do some electrical activities in the brain make us see, hear and feel pain? Why other neural activities remain non-conscious? This project will utilise visual illusions combined with a range of state-of-the-art neuroimaging techniques to understand what kind of neuronal mechanisms underlie attention and consciousness.
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    Funded Activity

    Discovery Projects - Grant ID: DP170104600

    Funder
    Australian Research Council
    Funding Amount
    $392,000.00
    Summary
    Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical .... Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical tools adopted from deep learning. By explaining the physiological properties of higher-level neurons in terms of hierarchical networks, the project expects to address long standing questions in neuroscience, and provide insights on biological hierarchical computation.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100179

    Funder
    Australian Research Council
    Funding Amount
    $425,000.00
    Summary
    Oscillations as a mechanism for neural communication. The project aims to answer how billions of cells in the brain can work together to allow us to perceive the world. By using novel electrophysiological and engineering techniques, the project tests if a brain signal called the local field potential provides a way for different areas in the brain to communicate. The hypothesis is that the local field potential is used by cells to synchronise their activity to be most effective. This project wou .... Oscillations as a mechanism for neural communication. The project aims to answer how billions of cells in the brain can work together to allow us to perceive the world. By using novel electrophysiological and engineering techniques, the project tests if a brain signal called the local field potential provides a way for different areas in the brain to communicate. The hypothesis is that the local field potential is used by cells to synchronise their activity to be most effective. This project would be a paradigm shift in how we currently understand how the brain works. Expected outcomes include answering long held questions about how we see and perceive the world. This should provide significant benefit to fields such as computer vision and the development of neural engineering devices.
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    Funded Activity

    Discovery Projects - Grant ID: DP180100396

    Funder
    Australian Research Council
    Funding Amount
    $314,286.00
    Summary
    Neural origins of conscious perception in no-report paradigms. This project aims to test two highly influential theories of consciousness. The project will be the first to test critical experimental conditions, where neural activities are recorded in humans and novel measures of causality are computed, which allows us to distinguish the two theories. The intended outcomes will provide significant benefits by bringing us closer to solve the mind-body problem. These outcomes can contribute to the .... Neural origins of conscious perception in no-report paradigms. This project aims to test two highly influential theories of consciousness. The project will be the first to test critical experimental conditions, where neural activities are recorded in humans and novel measures of causality are computed, which allows us to distinguish the two theories. The intended outcomes will provide significant benefits by bringing us closer to solve the mind-body problem. These outcomes can contribute to the development of engineering and clinical devices that utilise objective measures of consciousness.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210101042

    Funder
    Australian Research Council
    Funding Amount
    $492,586.00
    Summary
    Building a visual world: how brain circuits create and use representations. This project aims to demonstrate the presence, computation, and use of an invariant representation for texture structure. The proposed approach is interdisciplinary and combines image analysis, electrophysiology, optogenetics and computational modelling. Expected outcomes of this project include learning how neurons encode properties of natural images, defining a novel computational tool for analysis of textures, and ne .... Building a visual world: how brain circuits create and use representations. This project aims to demonstrate the presence, computation, and use of an invariant representation for texture structure. The proposed approach is interdisciplinary and combines image analysis, electrophysiology, optogenetics and computational modelling. Expected outcomes of this project include learning how neurons encode properties of natural images, defining a novel computational tool for analysis of textures, and new knowledge of how multiple brain areas work together to represent the visual world. This should provide significant benefits for the development of artificial visual systems, and impact on brain research broadly by increasing the number of tools available to predict complex representations at the cellular level.
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    Showing 1-7 of 7 Funded Activites

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