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
Advancement Of A Personalised Approach To Minimising Infective Complications In Cancer Care
Funder
National Health and Medical Research Council
Funding Amount
$265,138.00
Summary
Managing infections in patients with cancer have become more difficult and unpredictable because of new generation cancer therapies. Measuring the response of the immune system (immune profiling) will allow us to predict which patients will develop infection so that action such as vaccination can be taken to reduce their risk. This program will refine immune profiling to personalise infection care for cancer patients and to introduce it into hospital practice.
Monocytes On Patrol – Key Mediators Of Renal Injury In Glomerulonephritis
Funder
National Health and Medical Research Council
Funding Amount
$772,888.00
Summary
The glomerulus is the filtering component of the kidney. In many diseases, it can be the target of an inappropriate inflammatory response. As part of this response, white blood cells accumulate in the glomerulus where they cause damage. In this project, we make use of special microscopes to examine the glomerulus during an inflammatory response, with the aim of understanding the actions of white blood cells present in glomeruli and how they cause inflammation and damage the glomerulus.
Attenuating Severe Infections In Chronic Inflammatory Diseases Through Modulation Of Transforming Growth Factor-β Activity
Funder
National Health and Medical Research Council
Funding Amount
$611,793.00
Summary
Asthma and chronic obstructive pulmonary disease (COPD) are characterised by enhanced TGF? expression, which is accompanied by susceptibility to recurrent viral and bacterial infections. Such infections exacerbate lung inflammation in these patients, generally requiring emergency department treatment. This project proposes to clarify the therapeutic potential of TGF? inhibitors to reduce the impact of viral infections in patients with COPD and asthma.
MicroRNA Pathway Control Of Immune Cell Development
Funder
National Health and Medical Research Council
Funding Amount
$631,370.00
Summary
The immune system is comprised of many different cell types, each with a specialised function. Many are short-lived and must be continually replenished throughout life. Abnormalities in this process underlie many human diseases, including immunodeficiency, autoimmunity and cancer. My laboratory seeks to understand the molecular pathways that control development of immune cells and to identify the defects that lead to disease.
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.
The Relationship Between Maternal And Infant Dietary Intake Of Fermentable Fibre, Gut Microbiota, Short Chain Fatty Acids And Allergic Disease And Asthma: A Population-derived Birth Cohort Study
Funder
National Health and Medical Research Council
Funding Amount
$871,700.00
Summary
The proposed study will involve the Barwon Infant Study (BIS) cohort of 1074 infants to provide the first systematic investigation of the hypotheses that the epidemic of allergic disease and asthma in many parts of the world relates to the paucity of fermentable fibre in the modern diet, and that the protective effect of fermentable fibre is mediated by changes in the organisms that colonise the gut and the metabolites that they produce.
Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by co ....Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by collecting incremental face exemplars. The result of the research will be an algorithm that can improve its performance on-line adapting in a stable learning process each identity model to the correct facial examples.
The research has significant practical implication in visual surveillance increasing the robustness of identification of person identity, state and intent.
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