Multimodal testing for a fast subcortical route for salient visual stimuli. This project aims to uncover links between underlying brain circuitry, uncertainty and consciousness, and perceptions of fear. The project will use a multi-modal combination of brain imaging and neural recording techniques to generate new knowledge about the brain’s processing of biologically relevant information. The expected outcomes will enhance our knowledge of how the brain rapidly and non-consciously prepares the ....Multimodal testing for a fast subcortical route for salient visual stimuli. This project aims to uncover links between underlying brain circuitry, uncertainty and consciousness, and perceptions of fear. The project will use a multi-modal combination of brain imaging and neural recording techniques to generate new knowledge about the brain’s processing of biologically relevant information. The expected outcomes will enhance our knowledge of how the brain rapidly and non-consciously prepares the body for potential escape behaviours and of the brain pathways engaged in fear perception. The outcomes have the potential to inform strategies for overcoming anxiety and its effects on daily life, social interactions and workplace productivity.Read moreRead less
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
Sonification for complex, mission-critical work environments. Human operators must often pay attention to an immediate task while monitoring background information, but intrusive alarms often capture operators' attention inappropriately. We investigate how continuous auditory information ("sonification") can provide low-level background information when all is normal, yet capture attention to abnormalities only when needed. The results of three experiments will determine the most effective combi ....Sonification for complex, mission-critical work environments. Human operators must often pay attention to an immediate task while monitoring background information, but intrusive alarms often capture operators' attention inappropriately. We investigate how continuous auditory information ("sonification") can provide low-level background information when all is normal, yet capture attention to abnormalities only when needed. The results of three experiments will determine the most effective combination of visual and auditory information delivery; how well sonification captures attention when needed; and whether sonification captures attention to deviations from expected changes. Our findings will help establish principles of attentional mapping that significantly extend current approaches to interactive systems design.Read moreRead less
Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Attentional asymmetries for navigation in healthy and clinical groups. This project plans to investigate how differences in attentional capacity between the left and right sides of the brain affect the ability to walk or manoeuvre vehicles between obstacles. To navigate our environment and avoid obstacles, we need to attend to stimuli that are important and ignore those that are not. Unfortunately, the brain’s attentional capacity is limited, which can result in errors and collisions. Using the ....Attentional asymmetries for navigation in healthy and clinical groups. This project plans to investigate how differences in attentional capacity between the left and right sides of the brain affect the ability to walk or manoeuvre vehicles between obstacles. To navigate our environment and avoid obstacles, we need to attend to stimuli that are important and ignore those that are not. Unfortunately, the brain’s attentional capacity is limited, which can result in errors and collisions. Using the techniques of cognitive neuroscience, the project aims to provide a better understanding of the cognitive and neural mechanisms that govern attention in an applied setting. It expects to identify the factors that exacerbate lapses in attention and collisions. The effect of everyday impediments such as mobile phones, alcohol and fatigue will be investigated together with means of minimising these attentional lapses and improving safety.Read moreRead less
How different is different: highly contrasting colours in animal patterns. Red apples in green trees and blue berries on the ground create very different visual signals to animals. Furthermore, elaborate animal colour patterns have evolved to render them conspicuous or camouflaged against their background. Despite the ecological and evolutionary importance of animal colour patterns, little is known about how larger colour contrasts and complex patterns are perceived by animals. This project aim ....How different is different: highly contrasting colours in animal patterns. Red apples in green trees and blue berries on the ground create very different visual signals to animals. Furthermore, elaborate animal colour patterns have evolved to render them conspicuous or camouflaged against their background. Despite the ecological and evolutionary importance of animal colour patterns, little is known about how larger colour contrasts and complex patterns are perceived by animals. This project aims to fill this knowledge gap specifically it endeavours: to provide useful tools for behavioural ecologists and visual neuroscientists, and to understand for the first time the full gamut of colour signalling in both terrestrial and aquatic environments.Read moreRead less
Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u ....Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.Read moreRead less
Temporal interactions of dorsal/ventral visual streams. This project aims to understand the temporal interactions between the dorsal and ventral visual streams that control skilled actions. The neural pathways for visual perception of objects may be distinct from those associated with movements towards the object, but the speed of activation and interactions of these two cortical visual streams have not been investigated. This project will use the temporal sensitivity of neuroscience brain imagi ....Temporal interactions of dorsal/ventral visual streams. This project aims to understand the temporal interactions between the dorsal and ventral visual streams that control skilled actions. The neural pathways for visual perception of objects may be distinct from those associated with movements towards the object, but the speed of activation and interactions of these two cortical visual streams have not been investigated. This project will use the temporal sensitivity of neuroscience brain imaging techniques (MEG, EEG, fMRI) to measure the real-time sequence of interactions between the two visual streams during goal-directed grasping. It intends to extend the most influential model of visual processing by discovering ‘when’ these pathways activate and interact. Such knowledge will affect delivery of social and commercial outcomes, by providing new directions for the rehabilitation of sensorimotor performance in many neurodevelopmental disorders, and by improving design of control systems for robotic effectors, prosthetic limbs, and more seamless human-machine interfaces.Read moreRead less
Processing of social communication calls in primate auditory cortex. This research will advance our understanding of the brain mechanisms involved in perception of sound. This will help to understand disorders of speech and hearing following brain damage and may assist in efforts to develop better hearing aids, as well as other speech recognition technologies. In addition, we will develop a primate for studying processing of sound in the brain that will be useful in future research to develop ....Processing of social communication calls in primate auditory cortex. This research will advance our understanding of the brain mechanisms involved in perception of sound. This will help to understand disorders of speech and hearing following brain damage and may assist in efforts to develop better hearing aids, as well as other speech recognition technologies. In addition, we will develop a primate for studying processing of sound in the brain that will be useful in future research to develop improved cochlear implants.Read moreRead less