Identifying Malingered Posttraumatic Stress Disorder: Biological Markers for Legal Assessment. Posttraumatic stress disorder (PTSD) is the most common psychiatric disorder that is claimed in compensation claims in Australia. There are currently no reliable means to distinguish malingered from genuine PTSD. This project aims to develop the most accurate means of identifying malingered PTSD by using the most recent technology to index biological responses, including fMRI, in participants with PT ....Identifying Malingered Posttraumatic Stress Disorder: Biological Markers for Legal Assessment. Posttraumatic stress disorder (PTSD) is the most common psychiatric disorder that is claimed in compensation claims in Australia. There are currently no reliable means to distinguish malingered from genuine PTSD. This project aims to develop the most accurate means of identifying malingered PTSD by using the most recent technology to index biological responses, including fMRI, in participants with PTSD, without PTSD, and malingered PTSD. This study will lead to a biological assessment that can objectively index PTSD and be resistant to intentional feigning. These data will significantly enhance legal assessments of PTSD and facilitate compensation resolution.Read moreRead less
Creating new methods to study structure vision. The majority of the structure within natural images is due to third to fifth order correlations between image points. Research has shown that sensitivity to this higher order structure, provides so called Structure Vision. Research has also shown that as few as three to four brain mechanisms are involved, and these may be related to the Minkowski functionals, which in turn are related to the structural and surface properties of real materials. This ....Creating new methods to study structure vision. The majority of the structure within natural images is due to third to fifth order correlations between image points. Research has shown that sensitivity to this higher order structure, provides so called Structure Vision. Research has also shown that as few as three to four brain mechanisms are involved, and these may be related to the Minkowski functionals, which in turn are related to the structural and surface properties of real materials. This project aims to build on recent discoveries of new stimuli to implement objective tests with which to study structure vision with the Partner Organisation. The project aims to also expand on realistic models of how Structure Vision may be computed by just a few coupled cortical pyramidal cells.Read moreRead less
Understanding biological pathways underlying social behaviour in humans. This project aims to show for the first time how oxytocin interacts with neural social and reward pathways to guide social behaviour. Oxytocin is a natural neuropeptide and hormone that has a critical role in the regulation of social behaviour across mammalian species. In animals, direct evidence demonstrates how endogenous and exogenous oxytocin interacts with social and reward neural pathways to alter social behaviour, in ....Understanding biological pathways underlying social behaviour in humans. This project aims to show for the first time how oxytocin interacts with neural social and reward pathways to guide social behaviour. Oxytocin is a natural neuropeptide and hormone that has a critical role in the regulation of social behaviour across mammalian species. In animals, direct evidence demonstrates how endogenous and exogenous oxytocin interacts with social and reward neural pathways to alter social behaviour, including social recognition, relationship formation, and long-term bonds. The project intends to use radio-labelling techniques in combination with positron emission tomography to track oxytocin and show what regions of the brain oxytocin impacts to then influence social cognition and behaviour in humans.Read moreRead less
An MEG (brain imaging) system to study cognitive processing in children. This project introduces the world's first brain imaging system to study cognitive processing in children, using magnetoencephalography (MEG). MEG offers precise measurement of brain activities using a non-invasive, non-contact method. MEG is an ideal brain imaging device for use with children and with special clinical populations. It promises to be valuable (a) for the identification of cortical functions of the human brain ....An MEG (brain imaging) system to study cognitive processing in children. This project introduces the world's first brain imaging system to study cognitive processing in children, using magnetoencephalography (MEG). MEG offers precise measurement of brain activities using a non-invasive, non-contact method. MEG is an ideal brain imaging device for use with children and with special clinical populations. It promises to be valuable (a) for the identification of cortical functions of the human brain prior to surgery, (b) for the diagnosis of loci for developmental and acquired brain disorders, (c) in determining pharmaceutical effects on children, and (d) in the assessment of recovery of sensory and cognitive functions following brain injury. Read moreRead less
Towards in-vehicle situation awareness using visual and audio sensors. This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelli ....Towards in-vehicle situation awareness using visual and audio sensors. This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelligence to infer and predict dangerous driver and passenger behaviour. This has the potential to significantly benefit society by advancing autonomous driving capabilities and reducing driver-induced accidents and fatalities, ensuring that every driver, passenger and pedestrian arrives home safely at the end of each day.Read moreRead less
Ecology, morphology and the diversification of Australian lizards. This project aims to determine the factors driving the spectacular radiation of lizards in Australia. To date, most investigations of lizard anatomy have focused exclusively on external characteristics. This project will examine the underlying internal anatomy to investigate whether morphological innovation is associated with enhanced rates of ecological, life-history and species diversification. The project expects to shed light ....Ecology, morphology and the diversification of Australian lizards. This project aims to determine the factors driving the spectacular radiation of lizards in Australia. To date, most investigations of lizard anatomy have focused exclusively on external characteristics. This project will examine the underlying internal anatomy to investigate whether morphological innovation is associated with enhanced rates of ecological, life-history and species diversification. The project expects to shed light on the evolution of Australia’s most diverse vertebrate lineage, and provide comparative data with which to interpret the lizard fossil record in Australia, and the range declines and relative extinction risks of native lizard species.Read moreRead less
Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driv ....Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driven seasonal forecast system using high density climate data from the 17,000 Grain Growers Association members and climate drivers such as sea surface temperature from the Bureau of Meteorology. After validation against observed data, the forecasts will be delivered via a web-based portal to users.Read moreRead less
Remotely sensed forest water use in space and time. Remotely sensed forest water use in space and time. This project aims to develop and apply new methods to scale forest water use from plot to catchment-level, using relationships between plot-level annual evapotranspiration and biophysical and biochemical properties of stands detectable by unmanned aircraft systems and other remote sensing platforms. Australia's water security depends on understanding how changes in forests from disturbance and ....Remotely sensed forest water use in space and time. Remotely sensed forest water use in space and time. This project aims to develop and apply new methods to scale forest water use from plot to catchment-level, using relationships between plot-level annual evapotranspiration and biophysical and biochemical properties of stands detectable by unmanned aircraft systems and other remote sensing platforms. Australia's water security depends on understanding how changes in forests from disturbance and climate change influence catchment water yields. This project will estimate water yields over time and space in ungauged catchments with disturbed eucalypt forests. This research is expected to enable more effective risk mitigation and planning for augmentations; improved fire management strategies; and better water management of the Murray Darling Basin.Read moreRead less
New methods for mapping variation in forest water use in time and space. Disturbance of eucalypt forests can have dramatic impacts on catchment water yields. In partnership with Melbourne Water Corporation, this project will develop and test new methods for accurate mapping of variation in water use across forested water supply catchments and for accurately determining the effects of this on water supplies.
Is restoration working? An ecological genetic assessment. This project aims to assess the success of restoration in terms of ecological and genetic viability for plant species in the Fitzgerald River–Stirling Range region of Western Australia, where significant investment is being made in restoring connectivity at a landscape scale. The project intends to compare reproductive output, pollinator behaviour, mating, genetic diversity and pollen dispersal in restored sites with those of undisturbed ....Is restoration working? An ecological genetic assessment. This project aims to assess the success of restoration in terms of ecological and genetic viability for plant species in the Fitzgerald River–Stirling Range region of Western Australia, where significant investment is being made in restoring connectivity at a landscape scale. The project intends to compare reproductive output, pollinator behaviour, mating, genetic diversity and pollen dispersal in restored sites with those of undisturbed natural vegetation. The project moves measures of restoration success beyond that of population establishment and survival to incorporate the evolutionary processes that provide long-term resilience, persistence and functional integration of restored populations into broader landscapes.Read moreRead less