Adaptive learning of spatiotemporal patterns: Development of multi-layer spiking neuron networks using Hebbian and competitive learning. The aim of this project is to develop a method for recognising patterns that change in time. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role. Building-blocks similar to those in the brain (spiking neurons) will be used. Aut ....Adaptive learning of spatiotemporal patterns: Development of multi-layer spiking neuron networks using Hebbian and competitive learning. The aim of this project is to develop a method for recognising patterns that change in time. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be used to teach groups of spiking neurons the differences between sequences of events by adjusting connections between them. The significance of this approach is that it captures information about timing that is missed in existing techniques.Read moreRead less
Adaptive learning in networks of spiking neurons for recognising patterns that change with time. The aim of this project is to develop a method for recognising patterns that change with time. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be developed to teach groups of spiking neurons the differences between sequences of events by adjusting connections between neurons. The significance of this approach is that it captures information abou ....Adaptive learning in networks of spiking neurons for recognising patterns that change with time. The aim of this project is to develop a method for recognising patterns that change with time. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be developed to teach groups of spiking neurons the differences between sequences of events by adjusting connections between neurons. The significance of this approach is that it captures information about timing that is missed in existing techniques. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role.Read moreRead less
Temporal Pattern Learning and Recognition in Neural Systems. This project is relevant to the National Research Priority area of Frontier Technologies and addresses fundamental cross-disciplinary issues of how neural systems learn patterns that change with time, which is at the cutting edge of intelligent processing systems. Applications are in rapidly growing fields of automatic speech processing, robotics, machine learning and intelligent systems, all with applications in areas of economic impo ....Temporal Pattern Learning and Recognition in Neural Systems. This project is relevant to the National Research Priority area of Frontier Technologies and addresses fundamental cross-disciplinary issues of how neural systems learn patterns that change with time, which is at the cutting edge of intelligent processing systems. Applications are in rapidly growing fields of automatic speech processing, robotics, machine learning and intelligent systems, all with applications in areas of economic importance. Application to cochlear implant speech processing will provide benefit for the hearing impaired. The project will provide students with training at an international level within Australia, thus helping ensure Australia maintains and extends its science and technology base into the future.Read moreRead less
Designing new generation adjuvants for allergy and parasite vaccines. Allergy vaccines have the potential to provide a permanent cure against many allergic diseases, currently affecting 20-30 per cent of people in developed countries. This project will study how allergy vaccines work and how we can improve their effectiveness and safety.
Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being ....Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being privacy preserving, providing new avenues for the production of novel, socially acceptable products for aged care monitoring. Our methods spearhead future advancement in diverse disciplines due to the wide applicability of the methods to other sensor networks (Square Kilometre Array) and data types, providing new frameworks for addressing crucial problems of data management. Read moreRead less
Determinants of Audio-Visual effects in degraded and non-degraded speech. Seeing a speaker's face can affect the perception of their speech in a number of ways. This project proposes a detailed comparison of factors that affect Audio-Visual (AV) facilitation of degraded speech detection and identification. Detection-based tasks should be more sensitive to signal based correlations whereas identification-based effects more sensitive to complementary information. The significance of the current pr ....Determinants of Audio-Visual effects in degraded and non-degraded speech. Seeing a speaker's face can affect the perception of their speech in a number of ways. This project proposes a detailed comparison of factors that affect Audio-Visual (AV) facilitation of degraded speech detection and identification. Detection-based tasks should be more sensitive to signal based correlations whereas identification-based effects more sensitive to complementary information. The significance of the current proposal is that it offers both a strategy and a connected series of experiments for determining key behavioural constraints on AV speech integration. Understanding AV interactions will build links between neurophysiological processes and coherent perception and have important implications for AV application.Read moreRead less
Dissecting the Parameters for the Generation of Cytotoxic T Lymphocyte Immunity. This project aims to identify mechanisms by which antigen-presenting cells, such as dendritic cells, prime CD8+ T cells to generate effector and memory populations at the molecular level. The specific intention is to identify reagents capable of licensing dendritic cells, and examine the down-stream gene products/pathways generated by these signals using microarray analyses. Such knowledge will provide new insight i ....Dissecting the Parameters for the Generation of Cytotoxic T Lymphocyte Immunity. This project aims to identify mechanisms by which antigen-presenting cells, such as dendritic cells, prime CD8+ T cells to generate effector and memory populations at the molecular level. The specific intention is to identify reagents capable of licensing dendritic cells, and examine the down-stream gene products/pathways generated by these signals using microarray analyses. Such knowledge will provide new insight into CTL generation by providing greater understanding of how multicellular systems function both at the cellular and molecular level.Read moreRead less
Imaging of immune responses to pathogens in vivo. This proposal represents an excellent opportunity for Australian science to participate in state-of-the-art research into the immune system and to be internationally competitive with the best researchers in the field. By combining advanced microscopy techniques with well developed biological models used by researchers at the University of Melbourne, this project will greatly improve our understanding of the dynamic interactions that occur betwee ....Imaging of immune responses to pathogens in vivo. This proposal represents an excellent opportunity for Australian science to participate in state-of-the-art research into the immune system and to be internationally competitive with the best researchers in the field. By combining advanced microscopy techniques with well developed biological models used by researchers at the University of Melbourne, this project will greatly improve our understanding of the dynamic interactions that occur between cells of the immune system during infectious diseases. The insight provided by this project will facilitate the design of better vaccines for protection against diseases, including influenza.Read moreRead less
CD1C-LIPID-REACTIVE T CELLS. The immune system patrols our body examining molecules such as proteins and lipids that signal whether or not everything is ok. While protein recognition by the immune system is well understood, our knowledge of the fundamental features of lipid detection is poor. This project will investigate the detection of lipid molecules that are presented to the immune system in association with a molecule known as CD1c. The aims are to understand: 1. The cells that respond to ....CD1C-LIPID-REACTIVE T CELLS. The immune system patrols our body examining molecules such as proteins and lipids that signal whether or not everything is ok. While protein recognition by the immune system is well understood, our knowledge of the fundamental features of lipid detection is poor. This project will investigate the detection of lipid molecules that are presented to the immune system in association with a molecule known as CD1c. The aims are to understand: 1. The cells that respond to these lipids; 2. The cellular receptors that bind to these lipids; 3. The types of lipids involved in this process. This work is essential for us to understand lipid-based immunology which is critical if we ultimately wish to harness this to improve human health.Read moreRead less
Bio-inspired speech analysis: Specialised information processing of vocalisations in the auditory brainstem. This project has the potential to benefit bionic ear and hearing aid users through the development of signal processing methods that mimic the amazing abilities of the brain. Speech perception performance by bionic ear users has reached a plateau and these new strategies could produce the breakthrough needed to provide the next increase in performance. The benefit for greater improved hea ....Bio-inspired speech analysis: Specialised information processing of vocalisations in the auditory brainstem. This project has the potential to benefit bionic ear and hearing aid users through the development of signal processing methods that mimic the amazing abilities of the brain. Speech perception performance by bionic ear users has reached a plateau and these new strategies could produce the breakthrough needed to provide the next increase in performance. The benefit for greater improved hearing has enormous benefit and potential for improving the quality of life of the hearing impaired, especially those with severe and profound hearing loss. In addition, the algorithms may provide more robust automatic speech recognition, making this technology more useful in everyday situations; the markets that this would open up are enormous.Read moreRead less