Mechanisms of learning at the interface between perception and action. Using the latest in brain imaging and simulator technology, this project will advance understanding of how experience shapes the visual centres of our brain. It will also support partnerships with construction, mining and health services by developing real and virtual machine interfaces and tools to enhance the outcome of simulator-based training.
Closing the loop between salience and brain activity. This project aims to understand how animals exposed to an abundance of highly complex information decide what to attend to, that is, how they determine visual saliency. The project will approach this question by systematically tracking visual decision-making in the smallest animal brains, in closed-loop virtual reality environment. This approach will uncover basic working principles applicable to any system that needs to pay attention in a vi ....Closing the loop between salience and brain activity. This project aims to understand how animals exposed to an abundance of highly complex information decide what to attend to, that is, how they determine visual saliency. The project will approach this question by systematically tracking visual decision-making in the smallest animal brains, in closed-loop virtual reality environment. This approach will uncover basic working principles applicable to any system that needs to pay attention in a visually cluttered world, from insects to humans or autonomous vehicles.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
Melanopsin function in humans. This project aims to understand melanopsin signalling in humans. A newly discovered retinal ganglion cell class expresses the melanopsin photopigment. Melanopsin signalling controls neural functions for light dependent image formation and non-image forming processes. Many of these are unknown in humans. This project will use a 5-primary photostimulator to define how melanopsin controls these processes in humans. The outcomes are expected to advance understanding of ....Melanopsin function in humans. This project aims to understand melanopsin signalling in humans. A newly discovered retinal ganglion cell class expresses the melanopsin photopigment. Melanopsin signalling controls neural functions for light dependent image formation and non-image forming processes. Many of these are unknown in humans. This project will use a 5-primary photostimulator to define how melanopsin controls these processes in humans. The outcomes are expected to advance understanding of human vision. This could provide avenues for using light to increase active participation in society and improve health and well-being, and strategies to assess human vision and the body’s internal clock.Read moreRead less
PET imaging of learning-related plasticity in awake behaving rats. The objective of the project is to combine an investigation of basic learning paradigms with functional Positron emission tomography (PET) imaging in rats in order to answer critical questions about the neurobiological basis of learning and decision-making in the brain. MicroPET technology provides PET images without the confounds induced by anaesthesia. Using this technology, the project intends to observe whole-brain changes in ....PET imaging of learning-related plasticity in awake behaving rats. The objective of the project is to combine an investigation of basic learning paradigms with functional Positron emission tomography (PET) imaging in rats in order to answer critical questions about the neurobiological basis of learning and decision-making in the brain. MicroPET technology provides PET images without the confounds induced by anaesthesia. Using this technology, the project intends to observe whole-brain changes in dopamine neurotransmission in awake, behaving rats while they learn to predict motivationally relevant outcomes based on environmental cues and on their own actions (ie during Pavlovian and instrumental conditioning, respectively). The outcomes of this research may improve our understanding of the neural changes responsible for debilitating disorders of the brain and mind.Read moreRead less
Improved decoding of human brain activity using advanced functional magnetic resonance imaging at ultra-high field strength. Using advanced MRI methods at ultra-high field, this project aims to enable the decoding and reconstruction of visual stimuli, as well as imagined ones from small functional units (layers and columns) in the human brain in vivo. This will be made possible by the use of a new functional MRI method, concurrent high temporal and spatial resolution and whole brain coverage as ....Improved decoding of human brain activity using advanced functional magnetic resonance imaging at ultra-high field strength. Using advanced MRI methods at ultra-high field, this project aims to enable the decoding and reconstruction of visual stimuli, as well as imagined ones from small functional units (layers and columns) in the human brain in vivo. This will be made possible by the use of a new functional MRI method, concurrent high temporal and spatial resolution and whole brain coverage as well as high sensitivity and specificity. Additionally, it will advance the development of functional connectomics and the aid the parcellation of the human cortex.Read moreRead less
ARC Centre of Excellence for Integrative Brain Function. The Centre of Excellence for Integrative Brain Function will address one of the greatest scientific challenges of the 21st century to understand how the brain works. We will investigate complex functions such as attention, prediction and decision-making, which require the coordination of information processing by many areas of the brain. This will require a highly collaborative approach involving neurobiologists, cognitive scientists, eng ....ARC Centre of Excellence for Integrative Brain Function. The Centre of Excellence for Integrative Brain Function will address one of the greatest scientific challenges of the 21st century to understand how the brain works. We will investigate complex functions such as attention, prediction and decision-making, which require the coordination of information processing by many areas of the brain. This will require a highly collaborative approach involving neurobiologists, cognitive scientists, engineers and physicists, allowing us to translate our discoveries into novel technologies for the social and economic benefit of all Australians. We will also train a new generation of multidisciplinary researchers, and contribute our expertise to a range of public education and awareness programs.Read moreRead less