From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden ....From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden behind another object. This project will investigate how brains use both environmental and internal information to select a target and predict its future location. By implementing bio-inspired computations in hardware, this project aims to provide significant benefits such as improving autonomous systems for defence, health and transportation.Read moreRead less
The brain in real-time: predicting the present, reconstructing the past. This proposal aims to understand how the brain compensates for its own internal delays to function in real-time. Because it takes time for information from the senses to reach the brain, it takes time for us to become aware of an event that occurs in the outside world. This project will use an innovative combination of techniques to study how prediction and reconstruction mechanisms work together in the brain. Expected outc ....The brain in real-time: predicting the present, reconstructing the past. This proposal aims to understand how the brain compensates for its own internal delays to function in real-time. Because it takes time for information from the senses to reach the brain, it takes time for us to become aware of an event that occurs in the outside world. This project will use an innovative combination of techniques to study how prediction and reconstruction mechanisms work together in the brain. Expected outcomes of this project include a fundamental understanding of how we function in the present. This should provide significant benefits, such as an important theoretical advance in our understanding of how conscious awareness is realised in the brain, placing Australia at the cutting edge.Read moreRead less
Vision and lighting in the age of melanopsin. This project aims to develop innovative new technologies, which will advance understanding of the effects of light on human behavior mediated via the recently discovered melanopsin photopigment in the eye. The project expects to create a cutting-edge visual display technology, which will deliver the foundation knowledge of melanopsin shapes visual perception. The project will redefine current knowledge of human vision and provide a practical lighting ....Vision and lighting in the age of melanopsin. This project aims to develop innovative new technologies, which will advance understanding of the effects of light on human behavior mediated via the recently discovered melanopsin photopigment in the eye. The project expects to create a cutting-edge visual display technology, which will deliver the foundation knowledge of melanopsin shapes visual perception. The project will redefine current knowledge of human vision and provide a practical lighting solution to suit the biological needs of humans, especially in relation to the human body’s internal (circadian) clock. Read moreRead less
‘Super-human’ colour vision: how does it improve animal visual performance? Colour vision enables animals to find food, attract mates and avoid predators. Many animals, including fish, birds and insects, have ‘super-human’ colour vision systems and process colour using 4 or 5 spectral channels, instead of our 3. Yet we do not know how information is combined across these different channels to achieve colour vision. This project will develop new technology to measure UV vision in a range of anima ....‘Super-human’ colour vision: how does it improve animal visual performance? Colour vision enables animals to find food, attract mates and avoid predators. Many animals, including fish, birds and insects, have ‘super-human’ colour vision systems and process colour using 4 or 5 spectral channels, instead of our 3. Yet we do not know how information is combined across these different channels to achieve colour vision. This project will develop new technology to measure UV vision in a range of animal taxa, and show how animals with 4 or 5 spectral channels integrate or partition visual information to perceive colour. The Fellowship will provide new biological models for the development of next-generation multispectral cameras used in medical, military, security and remote sensing applications.Read moreRead less
Understanding the neural basis of gaze behaviour in the human brain. Selecting where to look is a necessary step in human vision that is vital for guiding social behaviours. For example, although we inadvertently look toward faces in our environment, especially faces expressing emotion, we do not know how this is accomplished. This project aims to define the mechanisms responsible for detecting and prioritising faces in the human brain. The results are expected to advance our understanding of ho ....Understanding the neural basis of gaze behaviour in the human brain. Selecting where to look is a necessary step in human vision that is vital for guiding social behaviours. For example, although we inadvertently look toward faces in our environment, especially faces expressing emotion, we do not know how this is accomplished. This project aims to define the mechanisms responsible for detecting and prioritising faces in the human brain. The results are expected to advance our understanding of how vision operates in daily life, and augment theories of how the prioritisation of social cues might differ in people living with Anxiety disorders. It is anticipated that the project outcomes will also inform the development of artificial vision systems that can interpret social meaning in visual environments.
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Understanding the role of mental imagery in cognition and behaviour. This project aims to develop objective physiological methods to measure mental imagery, uncover its brain mechanisms using neuroimaging and show how it biases cognition. It has long been suspected that mental imagery biases cognition, visual working memory and perception. However, showing this has been difficult due to a lack of measurement techniques. Here this is overcome by developing novel assay technologies and applying th ....Understanding the role of mental imagery in cognition and behaviour. This project aims to develop objective physiological methods to measure mental imagery, uncover its brain mechanisms using neuroimaging and show how it biases cognition. It has long been suspected that mental imagery biases cognition, visual working memory and perception. However, showing this has been difficult due to a lack of measurement techniques. Here this is overcome by developing novel assay technologies and applying them to the extremes of imagery, Aphantasia (no imagery) and Hyperphantasia (strong and vivid imagery). Expected outcomes include new measurement tools for generations of scientists, understanding the brain mechanisms of imagery and showing how our cognition (memory, risk, investing) is biased by mental imagery. Read moreRead less
Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected ....Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected outcomes include new-generation theories and methods for the unsupervised learning of complex interactions in real-life big data, which are anticipated to enable the intrinsic processing of big data complexities and substantially enhance Australia’s leadership in frontier data science research and applications. Read moreRead less
Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active ro ....Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active roles in the research process and more scientific experimentation that moves out of the laboratory and into more true-to-life settings. Bridging the gap between lab and life will result in better theory-building on autism, better translation of scientific discoveries and more robust policy recommendations.Read moreRead less
Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-s ....Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-supervised learning that are robust to failures and provide explainable decisions for object detection and scene segmentation. The outcomes are expected to advance theory in robust deep learning and benefit 3D mapping, surveying, infrastructure monitoring, transport and robotics industries.Read moreRead less
Neurobiological mechanisms of the interaction between pain and sleep. The project aims to reveal the brain mechanisms behind the interaction between such fundamental biological phenomena as sleep and pain. This highly interdisciplinary project expects to deliver significant insights into how poor sleep changes the brain to increase pain sensitivity in healthy adults, by combining novel lab-based mechanistic sleep and pain manipulations and naturalistic longitudinal observation. The rich multimod ....Neurobiological mechanisms of the interaction between pain and sleep. The project aims to reveal the brain mechanisms behind the interaction between such fundamental biological phenomena as sleep and pain. This highly interdisciplinary project expects to deliver significant insights into how poor sleep changes the brain to increase pain sensitivity in healthy adults, by combining novel lab-based mechanistic sleep and pain manipulations and naturalistic longitudinal observation. The rich multimodal dataset generated by the project will be made publicly available to enhance research transparency and international collaboration. This should provide significant benefits, ultimately opening up ways to improve quality of life and wellbeing of the Australian population.
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