Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less
Breathing and snoring sound analysis in sleep apnea. About 800,000 Australians suffer from the disease sleep Apnoea (OSA) which has snoring as its earliest symptom. We develop electronics and snore processing algorithms to classify snorers into OSA-positive and OSA-negative classes, based on advanced technology derived from speech recognition systems.
Multiscale and multimodal modelling of brain dynamics. This project aims to understand dynamics of how several brain regions work together to process information. This project will generate new knowledge in brain sciences by using state of the art computational modelling and neuroimaging methods like functional and diffusion magnetic resonance imaging and electromagnetic measurements. This project will develop technologies to compute multiscale, multimodal and directed connectivity in the brain. ....Multiscale and multimodal modelling of brain dynamics. This project aims to understand dynamics of how several brain regions work together to process information. This project will generate new knowledge in brain sciences by using state of the art computational modelling and neuroimaging methods like functional and diffusion magnetic resonance imaging and electromagnetic measurements. This project will develop technologies to compute multiscale, multimodal and directed connectivity in the brain. Expected outcomes of this project will enhance our understanding of the brain’s functional organization and dynamics. The benefits of this project will include breakthroughs in development of new neuro-technologies like brain-machine interfaces and neuroscience inspired artificial intelligence. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100128
Funder
Australian Research Council
Funding Amount
$395,000.00
Summary
Information processing in the brain. This project aims to understand the brain's functional organisation by developing non-invasive methods to characterise connectivity between interacting brain regions. No model-based methods to compute directional coupling between brain regions can be applied to large scale networks for resting state functional MRI data. This capability would be a major breakthrough in neuroimaging, given uninformative (non-directional) network connectivity analysis restricts ....Information processing in the brain. This project aims to understand the brain's functional organisation by developing non-invasive methods to characterise connectivity between interacting brain regions. No model-based methods to compute directional coupling between brain regions can be applied to large scale networks for resting state functional MRI data. This capability would be a major breakthrough in neuroimaging, given uninformative (non-directional) network connectivity analysis restricts research. This project is expected to advance our understanding of information processing in the brain by providing a mechanistic approach to functional integration.Read moreRead less
Electronic Auditory Pathway. We will develop electronic building blocks to investigate biological signal processing. In particular, we will investigate the auditory pathway and develop the most accurate electronic model of the biological cochlea and auditory nerve. These will be followed by electronic circuits that model the processing of sensory signals in the brain. Processing signals with neural spikes offers distinct advantages over current analogue and digital signal processing techniques i ....Electronic Auditory Pathway. We will develop electronic building blocks to investigate biological signal processing. In particular, we will investigate the auditory pathway and develop the most accurate electronic model of the biological cochlea and auditory nerve. These will be followed by electronic circuits that model the processing of sensory signals in the brain. Processing signals with neural spikes offers distinct advantages over current analogue and digital signal processing techniques in terms of noise, energy consumption and extraction of temporal information. We will implement the first spike-based models of pitch and timbre perception, and a neural model of speech recognition in noisy environments.Read moreRead less
Online Structural Health Monitoring (SHM) System Using Active Diagnostic Sensor Network. It is imperative to remain technological leading for Australian research community. But current lack of reliable technique in structural health monitoring in Australia is considerably impeding her competition with other developed countries in areas of forefront technology. Outcomes of the project will lead to an online structural health monitoring system incorporated with active diagnostic sensor network, re ....Online Structural Health Monitoring (SHM) System Using Active Diagnostic Sensor Network. It is imperative to remain technological leading for Australian research community. But current lack of reliable technique in structural health monitoring in Australia is considerably impeding her competition with other developed countries in areas of forefront technology. Outcomes of the project will lead to an online structural health monitoring system incorporated with active diagnostic sensor network, related software and hardware, novel signal processing technique, and artificial intelligence algorithm-based damage identification scheme. Its successful applications in various industries, e.g. aerospace, maritime and civil, are expected to bring significant improvement in operation safety and great benefit in reducing maintenance cost.Read moreRead less
Computational neural modelling of bottom-up information and top-down attention in auditory perception. The aim of this project is to gain a better understanding of the ways in which our auditory cortex functions. This project will make a significant contribution to this important and fundamental aspect of brain science and brain-inspired computation. The outcome will be to build a computational model of the auditory cortex, through simulation of the detailed neuronal responses using spiking neur ....Computational neural modelling of bottom-up information and top-down attention in auditory perception. The aim of this project is to gain a better understanding of the ways in which our auditory cortex functions. This project will make a significant contribution to this important and fundamental aspect of brain science and brain-inspired computation. The outcome will be to build a computational model of the auditory cortex, through simulation of the detailed neuronal responses using spiking neurons. Applications will develop improved processing strategies for automatic speech recognition, hearing aids, bionic ears (cochlear implants), robotics and other machine processing systems.Read moreRead less