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.Read moreRead less
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.Read moreRead less
Precision Epigenetics: Targeting The Epigenome To Treat Disease
Funder
National Health and Medical Research Council
Funding Amount
$1,940,576.00
Summary
Epigenetic marks are changes made to the DNA that allow genes to be switched off in some cells and switched on in others. These marks are critical to normal development and often go wrong in disease. We aim to find genes that add epigenetic marks to the DNA and understand how they co-operate at the molecular level to switch genes off. Our focus is on one such gene, SMCHD1. We are developing new drugs against SMCHD1 to treat incurable neurodevelopmental disorder PWS and muscular dystrophy FSHD.
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.Read moreRead less
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.Read moreRead less
Creating subject-specific mathematical models to understand the brain. This project aims to develop a mathematical framework that bridges the different scales of brain activities to provide a new tool for understanding the brain. Methods will be developed that unify individual neural activity with large scale brain activity. The approach will be validated by comparing predictions of interconnected models of neural populations (called mean-field models) to experimental data. The creation of subje ....Creating subject-specific mathematical models to understand the brain. This project aims to develop a mathematical framework that bridges the different scales of brain activities to provide a new tool for understanding the brain. Methods will be developed that unify individual neural activity with large scale brain activity. The approach will be validated by comparing predictions of interconnected models of neural populations (called mean-field models) to experimental data. The creation of subject-specific models from data is important, as there is large variability in neural circuits between individuals despite seemingly similar network activity. The intended outcome is new insights into the processes that govern brain function and methods for improving functional imaging of, and interfacing to, the brain.Read moreRead less
Closing The Clinical Translation Gap Of The Gut Microbiome In Chronic Diseases
Funder
National Health and Medical Research Council
Funding Amount
$1,337,350.00
Summary
The gut microbiota is important for human health and disease but knowledge transfer to clinical practice is lacking. This proposal will investigate how diet & gut microbiota changes connect with physical symptoms, mental health & behavioural issues in chronic diseases, using cystic fibrosis & autism spectrum disorder as models of disease. Improved understanding can improve management, assist in developing targeted therapies & is key to providing real-world solutions to improve outcomes.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100029
Funder
Australian Research Council
Funding Amount
$700,000.00
Summary
High Resolution PET-CT for Small Animal Molecular and Anatomical Imaging. This project will integrate a next generation small animal PET-CT instrument into the Sydney Imaging multi-modality imaging ecosystem. PET-CT enables the investigation of molecular function and anatomical structure in complex living organisms. This platform will enable research as diverse as the development and in-vivo characterisation of new chemical probes and nanoparticles that bind to specific protein targets in the bo ....High Resolution PET-CT for Small Animal Molecular and Anatomical Imaging. This project will integrate a next generation small animal PET-CT instrument into the Sydney Imaging multi-modality imaging ecosystem. PET-CT enables the investigation of molecular function and anatomical structure in complex living organisms. This platform will enable research as diverse as the development and in-vivo characterisation of new chemical probes and nanoparticles that bind to specific protein targets in the body, investigating mechanisms of brain plasticity in predictive learning, understanding the molecular pathways involved in neurodegeneration and cancer, developing novel methods for multi-modal image analysis, and developing and validating new radiation detectors for the next generation of imaging technology.Read moreRead less
Cellular bases of enteric neural circuitry underlying gut propulsion. This project aims to investigate the neural bases of behaviour in the mammalian gut. The Enteric Nervous System (ENS) plays a critical role in the propulsion of intestinal contents. This project expects to establish how specific functional classes of enteric neurons control propulsion along the gut. By recording the simultaneous neural activity from hundreds of different functional classes of enteric nerve cells simultaneously ....Cellular bases of enteric neural circuitry underlying gut propulsion. This project aims to investigate the neural bases of behaviour in the mammalian gut. The Enteric Nervous System (ENS) plays a critical role in the propulsion of intestinal contents. This project expects to establish how specific functional classes of enteric neurons control propulsion along the gut. By recording the simultaneous neural activity from hundreds of different functional classes of enteric nerve cells simultaneously, whilst recording intestinal muscle electrical activity and the movements of the gut wall, the project expects to identify which enteric neurochemical classes of neurons generate specific motor patterns along the intestine.Read moreRead less
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.Read moreRead less