Assessing the mechanisms and dynamics of myelination in the brain. This project is expected to refine our understanding of brain plasticity by revealing how myelin plasticity optimises brain function in response to experience. Using a multidisciplinary approach incorporating animal studies, mathematical modelling and computational neuroscience, the project seeks to redefine our understanding of myelin remodelling using an entirely new integrated cell-to-system approach. The expected outcome is f ....Assessing the mechanisms and dynamics of myelination in the brain. This project is expected to refine our understanding of brain plasticity by revealing how myelin plasticity optimises brain function in response to experience. Using a multidisciplinary approach incorporating animal studies, mathematical modelling and computational neuroscience, the project seeks to redefine our understanding of myelin remodelling using an entirely new integrated cell-to-system approach. The expected outcome is fundamental knowledge revealing how myelination is dynamically regulated by neural activity throughout life. This may transform current understanding of neuroplasticity that could aid in the future development of strategies to improve brain health.Read moreRead less
Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact netw ....Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact networks to develop robust predictions of disease spread and population fate, and to reliably predict the outcomes of management interventions. These robust prediction methods will provide better insights for conservation of Australian wildlife.Read moreRead less
Tracing nature's template: using statistical machine learning to evolve biocatalysts. In this project new computational methods will be developed to design nature-inspired, biological catalysts for industrial purposes. Such methods will enable catalysts to be designed that can improve the effectiveness and environmental footprint of drug development, agricultural and specialist chemical production and environmental remediation.
Discovery Early Career Researcher Award - Grant ID: DE190101486
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
Animal groups as mobile sensor networks. This project aims to provide biologically inspired solutions to the problems faced by mobile sensor networks. Mobile sensor networks provide a powerful new tool in environmental monitoring and surveillance, however, designing them to be energy efficient while not sacrificing information detection remains a challenge. By immersing animal groups into dynamically changing virtual environments this project will design new efficient mobile sensor networks. The ....Animal groups as mobile sensor networks. This project aims to provide biologically inspired solutions to the problems faced by mobile sensor networks. Mobile sensor networks provide a powerful new tool in environmental monitoring and surveillance, however, designing them to be energy efficient while not sacrificing information detection remains a challenge. By immersing animal groups into dynamically changing virtual environments this project will design new efficient mobile sensor networks. The project is expected to provide solutions to mobile sensor network limitations, benefitting areas including robotics, environmental monitoring and defence.Read moreRead less
Self-organised communication as a foundation of large, complex societies. This Project aims to investigate how evolution has shaped the self-organisation of robust communication networks that emerge in large animal collectives from the actions of individuals following only simple, local rules. It expects to generate new knowledge into the fundamental principles guiding the self-organisation of networks that can sustain a complex society. Empirical work with ant colonies will inform the construct ....Self-organised communication as a foundation of large, complex societies. This Project aims to investigate how evolution has shaped the self-organisation of robust communication networks that emerge in large animal collectives from the actions of individuals following only simple, local rules. It expects to generate new knowledge into the fundamental principles guiding the self-organisation of networks that can sustain a complex society. Empirical work with ant colonies will inform the construction of simulation models to push the investigation beyond experimental limits. The Project should significantly advance our understanding of how communication networks enable the development of large societies, and thus of how to better manage autonomous man-made networks, most importantly the Internet-of-Things.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101375
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
The forest and the trees: How global brain rhythms facilitate local information processing. One of the greatest challenges in understanding the brain is the enormous range of scales it operates on, from single neurons a few microns across to entire hemispheres on the scale of tens of centimetres. This project will investigate how large-scale brain rhythms influence and facilitate information processing, particularly motor control, among small networks of individual neurons. The research question ....The forest and the trees: How global brain rhythms facilitate local information processing. One of the greatest challenges in understanding the brain is the enormous range of scales it operates on, from single neurons a few microns across to entire hemispheres on the scale of tens of centimetres. This project will investigate how large-scale brain rhythms influence and facilitate information processing, particularly motor control, among small networks of individual neurons. The research questions will be addressed by combining detailed computer simulations with data-driven analyses of empirical human and monkey brain dynamics. The outcomes of this project will provide a richer understanding of how our brains encode and process information, leading to practical benefits such as improved control of artificial limbs.Read moreRead less
Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical ....Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical tools adopted from deep learning. By explaining the physiological properties of higher-level neurons in terms of hierarchical networks, the project expects to address long standing questions in neuroscience, and provide insights on biological hierarchical computation.Read moreRead less
Search strategy optimisation by theory, functional analysis and simulation. This project aims to develop a novel computational platform, based on mathematical, statistical and physical theory, as well as advanced simulations, enabling the quantitative prediction of the optimal search strategy to be adopted by populations of agents searching for scarce targets in any given environment. This could lead to significant impacts on breakthrough developments in cancer immunotherapy, search and rescue r ....Search strategy optimisation by theory, functional analysis and simulation. This project aims to develop a novel computational platform, based on mathematical, statistical and physical theory, as well as advanced simulations, enabling the quantitative prediction of the optimal search strategy to be adopted by populations of agents searching for scarce targets in any given environment. This could lead to significant impacts on breakthrough developments in cancer immunotherapy, search and rescue robotics, ecological and environmental management, and developmental biology.Read moreRead less
Modelling collective behaviour to protect social insect ecosystem services. This project aims to use mathematical models and computer simulations and biological experiments to investigate how social insects adapt to environmental stress, for example due to climate change and pollution. Fundamental to the adaptability of social insects are the complex mechanisms that allow colonies to maintain a carefully balanced division of labour (DOL). This project builds on evolutionary game theory to develo ....Modelling collective behaviour to protect social insect ecosystem services. This project aims to use mathematical models and computer simulations and biological experiments to investigate how social insects adapt to environmental stress, for example due to climate change and pollution. Fundamental to the adaptability of social insects are the complex mechanisms that allow colonies to maintain a carefully balanced division of labour (DOL). This project builds on evolutionary game theory to develop a new approach for analysing how environmental factors impact on DOL and thus colony viability. The project will deliver new methods to assess and predict the impact of environmental stress This will ultimately help to protect these keystones of biodiversity and the significant ecosystem services they provide as pest-control agents, through pollination, seed dispersal, and soil conditioning.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.