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Research Topic : image guidance
Field of Research : Sensory Systems
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  • Researchers (17)
  • Funded Activities (12)
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  • Funded Activity

    Deciphering The Mechanisms For Constructing The Olfactory System

    Funder
    National Health and Medical Research Council
    Funding Amount
    $496,321.00
    Summary
    The olfactory (smell) system is a unique part of the nervous system; nerve cells are generated throughout life and it can regenerate even after injury. It therefore provides an excellent model for examining the growth, development and maintenance of nerve cells. This project will examine the effects on the organisation of the olfactory system when some guidance signals are altered. Information we obtain about how this system develops and regenerates may be useful in treating brain disorders and .... The olfactory (smell) system is a unique part of the nervous system; nerve cells are generated throughout life and it can regenerate even after injury. It therefore provides an excellent model for examining the growth, development and maintenance of nerve cells. This project will examine the effects on the organisation of the olfactory system when some guidance signals are altered. Information we obtain about how this system develops and regenerates may be useful in treating brain disorders and spinal injuries The results of these experiments will provide important information on the the initial growth and targeting of these nerve cells which may have implications for regeneration of these as well as other nerve cells.
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    Funded Activity

    Understanding The Role Of The Olfactory Ensheathing Cell In The Olfactory Sensory System

    Funder
    National Health and Medical Research Council
    Funding Amount
    $494,000.00
    Summary
    The olfactory (smell) system is a unique part of the nervous system; nerve cells are generated throughout life and it can regenerate even after injury. It therefore provides an excellent model for examining the growth, development and maintenance of nerve cells. This project will examine how one specialized type of cell, the olfactory ensheathing cell, helps the nerve cells to grow and regenerate. Information we obtain about how this system develops and regenerates may be useful in treating brai .... The olfactory (smell) system is a unique part of the nervous system; nerve cells are generated throughout life and it can regenerate even after injury. It therefore provides an excellent model for examining the growth, development and maintenance of nerve cells. This project will examine how one specialized type of cell, the olfactory ensheathing cell, helps the nerve cells to grow and regenerate. Information we obtain about how this system develops and regenerates may be useful in treating brain disorders and spinal injuries In the current project we will examine how olfactory nerve cells interact with the ensheathing cells. We will use transgenic mice in which the different cells are marked by separate colours which will allow us to easily identify the cells and see where they grow. In addition, we will also examine the behaviour of live cells as they are growing. In the past all attempts to understand how nerve cell connections are formed in the olfactory system have used dead tissue that has been permanently preserved. In this project we have the unique opportunity to visualise living nerve cells to enable us to determine how the cells interact with the ensheathing cells. The advantage of this approach is that it allows us to identify important interactions as they occur, rather than attempting to decipher them after they have occurred. An analogy would be watching a football game live and observing how goals were scored and appreciating the performance of individual players versus trying to guess from the final score how the game was played and who the key performers were. These experiments will provide important information about how the olfactory ensheathing and nerve cells grow and regenerate.
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    Funded Activity

    Mechanisms Of Body Representation And The Sensory Consequences Of Stroke

    Funder
    National Health and Medical Research Council
    Funding Amount
    $408,842.00
    Summary
    How does the brain control movement without vision? We cannot see our mouth but can easily put food in it. The brain uses a combination of sensory signals and stored models of the body, to control movement. The body models, and their interaction with sensory information, is not well understood. but they are disrupted by common clinical disorders. This research project investigates unsolved questions about the body model including how it is affected by stroke.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200103386

    Funder
    Australian Research Council
    Funding Amount
    $512,774.00
    Summary
    Linking human brain structure to function with ultra-high resolution fMRI. This project will examine the structure and function of the sensory cortex of the human brain using ultra-high resolution functional magnetic resonance imaging (7 Tesla MRI). The project pushes new boundaries for resolution with ultra-high field MRI (7 Tesla) and, as such, will advance techniques for the acquisition, analysis, and computational modelling of high-resolution fMRI brain imaging, providing detail of the funct .... Linking human brain structure to function with ultra-high resolution fMRI. This project will examine the structure and function of the sensory cortex of the human brain using ultra-high resolution functional magnetic resonance imaging (7 Tesla MRI). The project pushes new boundaries for resolution with ultra-high field MRI (7 Tesla) and, as such, will advance techniques for the acquisition, analysis, and computational modelling of high-resolution fMRI brain imaging, providing detail of the functional organisation of the sensory cortex at a level never previously possible in the living human brain. This will provide new understanding of the neural-level networks that underpin attention and touch perception in the human brain.
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    Funded Activity

    Discovery Projects - Grant ID: DP130104572

    Funder
    Australian Research Council
    Funding Amount
    $370,000.00
    Summary
    Neural mechanisms for visual target detection and attention in complex scenes. This project will study neurons in the insect brain that solve one of the biggest problems for computer vision systems - tracking the motion of tiny targets moving against strongly camouflaged backgrounds. The results will be used to develop a novel biologically inspired model for target tracking with applications for smart cameras and robotics.
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    Funded Activity

    Discovery Projects - Grant ID: DP130104561

    Funder
    Australian Research Council
    Funding Amount
    $430,000.00
    Summary
    Strategies for neural summation in space and time for night vision. This project will study motion vision in nocturnal and day-active insects to understand how the brain sees in darkness, even when individual light sensitive cells in the eye perform poorly. This will help to identify optimal strategies that have evolved in nature to deal with noisy signals in low light and has implications for man-made night cameras.
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    Funded Activity

    Discovery Projects - Grant ID: DP170102263

    Funder
    Australian Research Council
    Funding Amount
    $319,500.00
    Summary
    Statistical methods for analysing maps in the visual brain. This project aims to apply Gaussian process methods, a Bayesian approach for data analysis, to analyse data from brain imaging experiments. Discovering the principles of functional brain architecture requires analysing data from functional imaging technologies. However, these technologies produce very noisy data which is difficult to interpret. This project will apply Gaussian process methods to study data from optical imaging and funct .... Statistical methods for analysing maps in the visual brain. This project aims to apply Gaussian process methods, a Bayesian approach for data analysis, to analyse data from brain imaging experiments. Discovering the principles of functional brain architecture requires analysing data from functional imaging technologies. However, these technologies produce very noisy data which is difficult to interpret. This project will apply Gaussian process methods to study data from optical imaging and functional magnetic resonance imaging of the visual brain. This is expected to reveal critical information about how normal brain structure changes with development and sensory experience. The statistical methods developed should be applicable within and beyond neuroscience, and may ultimately help improve the diagnosis of human health disorders.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100466

    Funder
    Australian Research Council
    Funding Amount
    $857,189.00
    Summary
    From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden .... From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden behind another object. This project will investigate how brains use both environmental and internal information to select a target and predict its future location. By implementing bio-inspired computations in hardware, this project aims to provide significant benefits such as improving autonomous systems for defence, health and transportation.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220101166

    Funder
    Australian Research Council
    Funding Amount
    $480,000.00
    Summary
    The neural dynamics of real-time processing in the brain. The aim of this project is to investigate a new model for predictive coding of sensory processing in the brain in which the brain compensates for the time delays in neural transmission by maintaining a real-time temporal alignment of the neural activity. This results in a representation of sensory information that is aligned in time across the cortex, offering a new fundamental principle for how the brain functions in a highly dynamic wor .... The neural dynamics of real-time processing in the brain. The aim of this project is to investigate a new model for predictive coding of sensory processing in the brain in which the brain compensates for the time delays in neural transmission by maintaining a real-time temporal alignment of the neural activity. This results in a representation of sensory information that is aligned in time across the cortex, offering a new fundamental principle for how the brain functions in a highly dynamic world whose outcomes would provide a deeper understanding of brain function. It could also have profound significance for artificial intelligence and brain-inspired technologies, as well as benefit neural sensory prostheses and brain-machine interfaces.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE150100548

    Funder
    Australian Research Council
    Funding Amount
    $359,000.00
    Summary
    Neural and robotic correlates of predictive coding and selective attention. Whether a human catching a ball, a dog leaping at a frisbee or a dragonfly hunting prey amidst a swarm, brains both large and small have evolved the ability to focus attention on one moving target, even in the presence of distracters. This project aims to investigate how brains solve this challenging problem by recording the activity of dragonfly neurons that selectively attend to one target whilst ignoring others. The p .... Neural and robotic correlates of predictive coding and selective attention. Whether a human catching a ball, a dog leaping at a frisbee or a dragonfly hunting prey amidst a swarm, brains both large and small have evolved the ability to focus attention on one moving target, even in the presence of distracters. This project aims to investigate how brains solve this challenging problem by recording the activity of dragonfly neurons that selectively attend to one target whilst ignoring others. The project aims to examine how expectation and attention are encoded in the brain and will build an autonomous robot using computational models bio-inspired from this neuronal processing. Robots capable of visually perceiving and interacting with targets in natural environments have applications in health, surveillance and defence.
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