Nonlinear Dynamics of Pulse Coupled Oscillators. A mathematical model of the heart pacemaker system will be created, based on simple interacting units. These units have been shown to be good models of physiological information e.g. the discrimination of different influences on heart rate. We will firstly look at the interaction of the units in simple combinations and then tune the model to mimic the behaviour of the cardiac pacemaker.
Potential benefits may arise from elucidating the mechanis ....Nonlinear Dynamics of Pulse Coupled Oscillators. A mathematical model of the heart pacemaker system will be created, based on simple interacting units. These units have been shown to be good models of physiological information e.g. the discrimination of different influences on heart rate. We will firstly look at the interaction of the units in simple combinations and then tune the model to mimic the behaviour of the cardiac pacemaker.
Potential benefits may arise from elucidating the mechanisms underlying arrhythmias which contribute to ?sudden cardiac death? in young men, and suggesting strategies for artificial pacemakers to effectively arrest abnormal rhythms before they convert to potentially fatal fibrillation.Read moreRead less
Developing feasible in situ control of mange disease in wombats. Our goal is the development of feasible in situ control of sarcoptic mange in wombat populations. Globally important, the Sarcoptes scabiei mite infects >100 mammal species and is among the 50 most common human diseases, causing health, welfare and population impacts. This infection is treatable, and we will test a new treatment (fluralaner), develop new models to guide management, and conduct replicated field trials. This will ena ....Developing feasible in situ control of mange disease in wombats. Our goal is the development of feasible in situ control of sarcoptic mange in wombat populations. Globally important, the Sarcoptes scabiei mite infects >100 mammal species and is among the 50 most common human diseases, causing health, welfare and population impacts. This infection is treatable, and we will test a new treatment (fluralaner), develop new models to guide management, and conduct replicated field trials. This will enable science-based guidelines, advancing disease control, local eradication, and regulatory approval for wombats. Our research framework is adaptable to other mange-impacted species, and advance methods and theory for control of treatable disease in wildlife.Read moreRead less
From individuals to mass organisation: aggregation, synchronisation and collective movement in locusts. By combining field biology, robotics and mathematics, this project will determine how animals flock or swarm and, in particular, how locust nymphs control their collective movement over their lifetime. The mathematical models derived during the project will be directly applied to controlling outbreaks of locusts in Australia, South and North Africa.
Mathematical models and bioinformatic analyses of bacterial genome evolution. Bacteria are vital agents in earth's biosphere, breaking down and synthesising a wide variety of compounds. Some bacteria cause disease; others are exploited for a range of biotechnological applications. Bacteria have a remarkable ability to survive and thrive in changing conditions. For example, pathogenic bacteria confronted by antibiotics easily evolve resistance to them. With the reality of climate change, we expec ....Mathematical models and bioinformatic analyses of bacterial genome evolution. Bacteria are vital agents in earth's biosphere, breaking down and synthesising a wide variety of compounds. Some bacteria cause disease; others are exploited for a range of biotechnological applications. Bacteria have a remarkable ability to survive and thrive in changing conditions. For example, pathogenic bacteria confronted by antibiotics easily evolve resistance to them. With the reality of climate change, we expect more rapid shifts in the structure of bacterial communities, possibly leading to the emergence of new pathogens. The benefits of this project are to discover how the genetic structure of bacteria confer this flexibility, and to help keep Australia at the forefront of research in bioinformatics and mathematical biology.
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Social insect behaviour: the importance of individual-decision making and information transfer. Insect societies are complex systems. Understanding complex systems is often hampered by our inability to study the individual units that comprise the system without also disturbing the system. Insect societies are unique in that the individual insects can be studied within their natural setting. This project will study foraging behaviour of honey bees with respect to individual decision-making and in ....Social insect behaviour: the importance of individual-decision making and information transfer. Insect societies are complex systems. Understanding complex systems is often hampered by our inability to study the individual units that comprise the system without also disturbing the system. Insect societies are unique in that the individual insects can be studied within their natural setting. This project will study foraging behaviour of honey bees with respect to individual decision-making and information transfer. In doing so we will obtain insights in the working of other, less accessible, complex systems such as the mammalian brain or the Australian economy.Read moreRead less
Understanding animals through their movement. This project aims to develop a suite of analytical methods to understand animals' behaviour through their movement patterns. Animal movement patterns encode detailed information about their behavioural state. Collecting and analysing animal movement trajectories can provide us with completely new insights to behaviour. Recent developments in bio-logging technologies have provided an incredible amount of rich data on free-ranging animals. This project ....Understanding animals through their movement. This project aims to develop a suite of analytical methods to understand animals' behaviour through their movement patterns. Animal movement patterns encode detailed information about their behavioural state. Collecting and analysing animal movement trajectories can provide us with completely new insights to behaviour. Recent developments in bio-logging technologies have provided an incredible amount of rich data on free-ranging animals. This project will develop a suite of analytical techniques to interrogate this data through a combination of approaches, from fine scale experiments in the laboratory to tracking animal trajectories from the International Space Station. The findings will deliver major benefits to the broader community by transforming our ability to manage and conserve animal stocks.Read moreRead less
Statistical methods and tools for integrative microarray analysis. Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provi ....Statistical methods and tools for integrative microarray analysis. Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provides new statistical methods to integrate different data sets. Its application in the biomedical field will allow researchers to effectively interpret the myriad of data generated within the community.Read moreRead less
On the move: the study of self-organised movement of animal groups with and without leadership. This project will uncover the common principles that control the movement of large groups of organisms. We will focus on swarming honey bees, hopping bands of billions of locusts and millions of crickets marching in unison. The outcomes of our research will be broadly applicable to other collective phenomena, even to traffic and crowd control in humans.
Australian Laureate Fellowships - Grant ID: FL140100025
Funder
Australian Research Council
Funding Amount
$2,617,462.00
Summary
The physical brain: emergent, multiscale, nonlinear, and critical dynamics. The physical brain: emergent, multiscale, nonlinear, and critical dynamics. This project aims to transform the understanding of the structure and function of the brain as a complex physical system. It aims to reveal and unify new aspects of information processing, transitions in conscious state, and nonlinear brain interactions by translating and applying concepts and methods from physics and mathematics. It will treat b ....The physical brain: emergent, multiscale, nonlinear, and critical dynamics. The physical brain: emergent, multiscale, nonlinear, and critical dynamics. This project aims to transform the understanding of the structure and function of the brain as a complex physical system. It aims to reveal and unify new aspects of information processing, transitions in conscious state, and nonlinear brain interactions by translating and applying concepts and methods from physics and mathematics. It will treat brain structure and dynamics together to address emergent phenomena like waves and patterns on multiple scales, treating waves as equal participants alongside neurons. Innovative predictions of brain phenomena will aim to be verified against data and used to understand brain networks, dynamics, and the physical phenomena underlying information processing and consciousness.Read moreRead less
Social insects as model systems in complexity science. Many optimisation algorithms are based on the behaviour of social insects. These algorithms function well under static conditions, when there is only one optimal solution. This project will determine how individual insect behaviour affects collective behaviour. Outcomes will allow the development of better algorithms.