Neural spike variability: unifying conflicting views of neural dynamics. The project aims to improve our understanding of neural dynamics. The brain represents and processes information by means of neural voltage spikes, which show great variability in their timing. Understanding the origin of such variable neural dynamics is a long-standing problem in neuroscience. The aim of this project is to develop a novel account of variable neural dynamics, unravelling their computational principles in th ....Neural spike variability: unifying conflicting views of neural dynamics. The project aims to improve our understanding of neural dynamics. The brain represents and processes information by means of neural voltage spikes, which show great variability in their timing. Understanding the origin of such variable neural dynamics is a long-standing problem in neuroscience. The aim of this project is to develop a novel account of variable neural dynamics, unravelling their computational principles in the brain, and unifying current leading but conflicting theories. The model developed in this project would be used to explain a range of empirical observations, and the principles unravelled would be applied to understand spike-timing based neural coding. The new knowledge gained in this project may have profound implications for designing brain-like computing devices.Read moreRead less
Biophysics of the brain’s waste disposal system: Understanding why we sleep. This project aims to develop a new biophysical model of the brain, founded on the recently discovered glymphatic system responsible for waste disposal during sleep. It sets out to formulate, analyse, and validate rigorous new multiscale quantitative modelling – to advance the study of sleep and brain clearance dynamics, at timescales from hours to decades. Among expected outcomes are powerful models ready for applicatio ....Biophysics of the brain’s waste disposal system: Understanding why we sleep. This project aims to develop a new biophysical model of the brain, founded on the recently discovered glymphatic system responsible for waste disposal during sleep. It sets out to formulate, analyse, and validate rigorous new multiscale quantitative modelling – to advance the study of sleep and brain clearance dynamics, at timescales from hours to decades. Among expected outcomes are powerful models ready for application at both population and individual level, and testable predictions concerning the sleep patterns that lead to aggregation of waste in the brain and eventual cognitive decline. Project outcomes should also benefit society and the economy though translation into interventions for sleep disturbance – in future applied research.Read moreRead less
How microbes build their environments through evolutionary feedback. The fitness landscape, a key evolutionary concept, relates genes or traits to reproductive fitness. However, this has been challenged by organisms that distort the landscape by changing their environments. This project aims to develop a new mathematical model that restores the landscape concept by extending it to accommodate niche construction. This framework will be applied to microorganisms that alter their environments, for ....How microbes build their environments through evolutionary feedback. The fitness landscape, a key evolutionary concept, relates genes or traits to reproductive fitness. However, this has been challenged by organisms that distort the landscape by changing their environments. This project aims to develop a new mathematical model that restores the landscape concept by extending it to accommodate niche construction. This framework will be applied to microorganisms that alter their environments, for example, by provoking and subverting the host immune system, and by inducing behavioural change in hosts. These processes alter how natural selection operates on microbes and thus lead to important evolutionary feedback. The model will be used to examine antibiotic resistance, pathogen virulence and how microbiomes develop.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100127
Funder
Australian Research Council
Funding Amount
$355,000.00
Summary
Superresolution fluorescence imaging in microbiology. Superresolution fluorescence imaging in microbiology:
This project involves the purchase of new, and upgrade of existing, fluorescence imaging tools to facilitate the study of intracellular processes in microbial systems at significantly higher spatial and temporal resolutions than hitherto possible. Visualisation of the structure and dynamics of intracellular molecular assemblies at maximal resolution is required to understand protein funct ....Superresolution fluorescence imaging in microbiology. Superresolution fluorescence imaging in microbiology:
This project involves the purchase of new, and upgrade of existing, fluorescence imaging tools to facilitate the study of intracellular processes in microbial systems at significantly higher spatial and temporal resolutions than hitherto possible. Visualisation of the structure and dynamics of intracellular molecular assemblies at maximal resolution is required to understand protein function inside living cells. The new equipment is designed to provide a fast super-resolution imaging system to study the intracellular dynamics of proteins in vitro and a super-resolution microscope to visualise structures and assemblies inside microbes with a resolution of tens of nanometres, putting in vitro biochemistry into the context of a living cell. Read moreRead less
Understanding the crowd - improving accuracy in collective motion theory. This project intends to develop more accurate methods for predicting the motions of large groups. The amazing coordinated movements seen in large groups of animals are governed by simple interactions between individuals, termed rules of motion. In 2011, techniques were developed to estimate individual rules of motion from video tracking data. The project plans to build on these breakthroughs by using advanced tracking, mod ....Understanding the crowd - improving accuracy in collective motion theory. This project intends to develop more accurate methods for predicting the motions of large groups. The amazing coordinated movements seen in large groups of animals are governed by simple interactions between individuals, termed rules of motion. In 2011, techniques were developed to estimate individual rules of motion from video tracking data. The project plans to build on these breakthroughs by using advanced tracking, modelling and analysis to systematically determine the influence that different movement parameters have on rules of motion and how rules of motion are affected by group size. It aims to develop a framework for analysis and modelling built on the visual perception of individuals.Read moreRead less
Leadership matters: the emergence of informed leaders and their influence on group movement. This project will discover the effect of leadership and social structure on collective motion in schools of damselfish, swarms of honey bees and human pedestrians using videoed experiments and computer simulations. These findings will be important in preventing crowd stampedes, understanding risky road crossing behaviour and designing 'swarms' of robots.
Engineering an artificial protein molecular motor. This project aims to use non-motor protein building blocks to construct an artificial protein motor. Nature already uses nanotechnology as the basis for all its machinery, and uses proteins to construct machines. Each protein component in the motor will have a well-understood function; this artificial protein will elucidate how it converts chemical energy to motion. This process is not understood as molecular motors do not obey the same principl ....Engineering an artificial protein molecular motor. This project aims to use non-motor protein building blocks to construct an artificial protein motor. Nature already uses nanotechnology as the basis for all its machinery, and uses proteins to construct machines. Each protein component in the motor will have a well-understood function; this artificial protein will elucidate how it converts chemical energy to motion. This process is not understood as molecular motors do not obey the same principles as macroscopic machines. Comparing the artificial motor with biological motors will provide insight into the workings of natural motors. This project should lead to molecular motors for nanobiotechnology.Read moreRead less
Human longevity: Modelling social changes that propelled its evolution. The project plans to simulate behavioural and social changes that could have driven the evolution of human longevity past the end of female menopause. The aims are to develop a mathematical framework for modelling complex organisation in a population in terms of fundamental social units and to qualitatively evaluate the relative importance of these social units in potentially driving human evolution from the ancestral state. ....Human longevity: Modelling social changes that propelled its evolution. The project plans to simulate behavioural and social changes that could have driven the evolution of human longevity past the end of female menopause. The aims are to develop a mathematical framework for modelling complex organisation in a population in terms of fundamental social units and to qualitatively evaluate the relative importance of these social units in potentially driving human evolution from the ancestral state. Such models may enable us to compare two prominent and opposing hypotheses of the evolution of human longevity: the Grandmother Hypothesis and the Hunting Hypothesis.Read moreRead less
The mathematics of stochastic transport and signalling in cells. The project aims to develop new stochastic mathematical models of the dynamics of protein transport and cell signalling. The mathematics will link macro scale biological observations to micro scale molecular movements to characterise the relative role that different components and processes play. Expected outcomes are robust mathematical analyses of the transient dynamics of closed, finite capacity queueing networks and biological ....The mathematics of stochastic transport and signalling in cells. The project aims to develop new stochastic mathematical models of the dynamics of protein transport and cell signalling. The mathematics will link macro scale biological observations to micro scale molecular movements to characterise the relative role that different components and processes play. Expected outcomes are robust mathematical analyses of the transient dynamics of closed, finite capacity queueing networks and biological insight into the major control mechanisms in cellular insulin signalling. The project should provide significant benefits via the delivery of new mathematical tools and analysis for stochastic networks, impacting our understanding of metabolic transport, and providing interdisciplinary research training.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101113
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Mathematical modelling of breast cancer immunity: guiding the development of preventative breast cancer vaccines. The project will apply various methods from mathematical modelling to simulate anti-breast cancer immune responses to incipient tumours. Results from simulation and analysis will help develop, assess, and optimise preventative breast cancer vaccines for further testing in future experimental studies.