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Current Selection
Status : Active
Research Topic : speech processing
Socio-Economic Objective : Nervous System and Disorders
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Neurosciences (3)
Sensory Systems (3)
Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology) (2)
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Nervous System and Disorders (7)
Hearing, Vision, Speech and Their Disorders (6)
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  • Researchers (38)
  • Funded Activities (7)
  • Organisations (43)
  • Active Funded Activity

    Discovery Projects - Grant ID: DP200100127

    Funder
    Australian Research Council
    Funding Amount
    $526,690.00
    Summary
    How the brain produces speech: Neuronal oscillations to neuromodulation. Speech is crucial for facilitating human communication through language, yet there is a lack of clarity about where, when and what type of activity occurs in the brain during key stages of production. This project will use intracranial recordings to characterise neuronal oscillations in combination with direct electrical stimulation, functional neuroimaging and non-invasive brain stimulation to establish critical areas and .... How the brain produces speech: Neuronal oscillations to neuromodulation. Speech is crucial for facilitating human communication through language, yet there is a lack of clarity about where, when and what type of activity occurs in the brain during key stages of production. This project will use intracranial recordings to characterise neuronal oscillations in combination with direct electrical stimulation, functional neuroimaging and non-invasive brain stimulation to establish critical areas and their timecourses with millisecond resolution. The outcome will be a better theoretical account of the brain mechanisms involved in spoken production. The benefit of this new theoretical account will be a better basis for prevention of post-surgical language impairment and neuromodulatory treatments after brain injury.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220101853

    Funder
    Australian Research Council
    Funding Amount
    $448,610.00
    Summary
    A more sound approach to the neurobiology of language. How does the brain attain spoken language? Current neurobiological models assume either implicitly or explicitly that there is no relationship between a word's sound and its meaning. Yet considerable evidence shows this strong assumption about the arbitrariness of language is invalid. This project will use a combination of behavioural, neuroimaging and computational studies to characterise how the brain processes statistical regularities in .... A more sound approach to the neurobiology of language. How does the brain attain spoken language? Current neurobiological models assume either implicitly or explicitly that there is no relationship between a word's sound and its meaning. Yet considerable evidence shows this strong assumption about the arbitrariness of language is invalid. This project will use a combination of behavioural, neuroimaging and computational studies to characterise how the brain processes statistical regularities in sound-to-meaning correspondences as probabilistic cues to attain spoken language. The outcome will be a better neural account of language comprehension and production. The benefit of this new account will be a stronger basis for assessment and treatment of developmental and acquired language impairments.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP180102524

    Funder
    Australian Research Council
    Funding Amount
    $453,869.00
    Summary
    Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to .... Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to investigate a broad range of cognitive and communication functions. Benefits will include potential technologies and algorithms to assist listening (in devices such as hearing aids), language development and reading.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210103791

    Funder
    Australian Research Council
    Funding Amount
    $952,200.00
    Summary
    Central Representation of Electroacoustic Stimuli. Cochlear implantation, initially only provided to profoundly deaf individuals, is now routine in people with substantial residual hearing. Although stimulation via a cochlear implant and hearing aid in the same ear has been shown to improve speech understanding, particularly in noise, and to increase the aesthetic quality of sound, almost nothing is known about the physiological mechanisms underlying these benefits. The broad aim of our project .... Central Representation of Electroacoustic Stimuli. Cochlear implantation, initially only provided to profoundly deaf individuals, is now routine in people with substantial residual hearing. Although stimulation via a cochlear implant and hearing aid in the same ear has been shown to improve speech understanding, particularly in noise, and to increase the aesthetic quality of sound, almost nothing is known about the physiological mechanisms underlying these benefits. The broad aim of our project is to address this deficiency by measuring the patterns of neural activity evoked by speech sounds across the tonotopic axis in the inferior colliculus and auditory cortex and assess the extent to which the pattern of neural activity allows discrimination between the different speech sounds.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP180102287

    Funder
    Australian Research Council
    Funding Amount
    $618,912.00
    Summary
    Ultra-low fouling active surfaces. This project aims to develop chemistries and fabrication approaches through innovative materials evaluation to develop ultra-low fouling active electrode surfaces. Development of ultra-low fouling surfaces will have significant impact in a range of applications where system or device failure is attributed to fouling. The growing field of bionics, where implantable electronic devices interface directly with the nervous system, is one such device. The expected ou .... Ultra-low fouling active surfaces. This project aims to develop chemistries and fabrication approaches through innovative materials evaluation to develop ultra-low fouling active electrode surfaces. Development of ultra-low fouling surfaces will have significant impact in a range of applications where system or device failure is attributed to fouling. The growing field of bionics, where implantable electronic devices interface directly with the nervous system, is one such device. The expected outcomes will be an understanding of the material requirements that lead to the elimination of protein and cell accumulation at surfaces that degrades the performance and lifetime of these implants. The findings will benefit any application where fouling is a problem.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP170104170

    Funder
    Australian Research Council
    Funding Amount
    $470,500.00
    Summary
    Neuronal origin of functional maps on the mammalian visual cortex. This project aims to study how the brain processes images. Basic features of objects in the visual scene seem to be coded on the visual cortex in an orderly way. By recording neurones’ electrical activity in a mammalian brain, this project aims to study how such organisation is determined at the neuronal level, namely how the individual nerves and synapses that form the brain and process the signals are organised to form the over .... Neuronal origin of functional maps on the mammalian visual cortex. This project aims to study how the brain processes images. Basic features of objects in the visual scene seem to be coded on the visual cortex in an orderly way. By recording neurones’ electrical activity in a mammalian brain, this project aims to study how such organisation is determined at the neuronal level, namely how the individual nerves and synapses that form the brain and process the signals are organised to form the overall functional architecture visible at a macroscopic level. This understanding could realise the basis of normal visual perception in robotic vision and brain-machine interfaces.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT210100228

    Funder
    Australian Research Council
    Funding Amount
    $955,000.00
    Summary
    AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing n .... AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing novel deep learning algorithms. The new algorithms will benefit a wide range of applications, e.g. to effectively use car crash training samples for accurately identifying potential road crashes in transport and to effectively use rare medical imaging training data for robustly diagnosing diseases in health.
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    Showing 1-7 of 7 Funded Activites

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