Communication and information storage mechanisms in complex dynamical brain networks. Recordings of electrical activity in the brain often cycle repetitively. The aim of this research is to explain how these brain rhythms assist the brain to coordinate simultaneous activity in several regions. Australian socioeconomic benefits include: (i) contributions to the knowledge base of theoretical neuroscience, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of internation ....Communication and information storage mechanisms in complex dynamical brain networks. Recordings of electrical activity in the brain often cycle repetitively. The aim of this research is to explain how these brain rhythms assist the brain to coordinate simultaneous activity in several regions. Australian socioeconomic benefits include: (i) contributions to the knowledge base of theoretical neuroscience, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of international collaborations with Europe and Japan; (iii) outcomes will ultimately impact on improved medical bionics and future interfaces between brain activity and machines or computers; and (iv) commercialization and technology transfer opportunities, via the transfer of results to biologically inspired engineering.Read moreRead less
A lossy compression paradigm for sensory neural coding. By applying new interdisciplinary theoretical results, this research aims to enhance our understanding of how the ear turns sounds into electrical signals in the presence of high levels of random noise. Socio-economic benefits to Australia include: (i) contributions to the knowledge base of theoretical neuroscience, and communications systems, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of European interna ....A lossy compression paradigm for sensory neural coding. By applying new interdisciplinary theoretical results, this research aims to enhance our understanding of how the ear turns sounds into electrical signals in the presence of high levels of random noise. Socio-economic benefits to Australia include: (i) contributions to the knowledge base of theoretical neuroscience, and communications systems, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of European international collaborations; (iii) outcomes that will ultimately impact on improved designs for bionic ears and future biomedical prosthetics; and (iv) commercialisation and technology transfer opportunities, via the transfer of results to wireless artificial sensor networks.Read moreRead less
Computational methods for population-size-dependent branching processes. Branching processes are the primary mathematical tool used to model populations that evolve randomly in time. Most key results in the theory are derived under the simplifying assumption that individuals reproduce and die independently of each other. However, this assumption fails in most real-life situations, in particular when the environment has limited resources or when the habitat has a restricted capacity. This project ....Computational methods for population-size-dependent branching processes. Branching processes are the primary mathematical tool used to model populations that evolve randomly in time. Most key results in the theory are derived under the simplifying assumption that individuals reproduce and die independently of each other. However, this assumption fails in most real-life situations, in particular when the environment has limited resources or when the habitat has a restricted capacity. This project aims to develop novel and effective algorithmic techniques and statistical methods for a class of branching processes with dependences. We will use these results to study significant problems in the conservation of endangered island bird populations in Oceania, and to help inform their conservation management.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100690
Funder
Australian Research Council
Funding Amount
$373,316.00
Summary
Mathematical modelling of the early stages of multicellular evolution. This project aims to develop new mathematical methodology to understand the early stages of the evolution of multicellular organisms from unicellular ancestors. This is the best known example of the creation of a new level of biological organisation. However, the early stages of this transition are poorly understood, especially how early groups of cells came to possess Darwinian characteristics, which then allows natural sele ....Mathematical modelling of the early stages of multicellular evolution. This project aims to develop new mathematical methodology to understand the early stages of the evolution of multicellular organisms from unicellular ancestors. This is the best known example of the creation of a new level of biological organisation. However, the early stages of this transition are poorly understood, especially how early groups of cells came to possess Darwinian characteristics, which then allows natural selection to act on them. It is anticipated that the models produced will be used to give the first mechanistic account of this intrinsically stochastic, multi-level, phenomenon. This may lead to new insights into the emergence and subsequent evolution of simple multicellular life cycles and early forms of development.Read moreRead less
New methods for integrating population structure and stochasticity into models of disease dynamics. Epidemics, such as the 2007 equine 'flu outbreak and 2009 swine 'flu pandemic, highlight the need to make informed decisive responses. This project will develop new methods that incorporate two important aspects of disease dynamics---host structure and chance---into mathematical models, and determine their impact in terms of controlling infections.
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
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.