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Cannabis and the brain: the good, the bad and the unknown. Cannabis is the most widely used illicit drug but much remains unknown about how it affects the brain. This research will examine effects on brain cells through to whole brain function in humans to determine how cannabis use may lead to impaired thinking or psychological symptoms and why cannabis might affect individuals in different ways.
Parallel and generative binding in human visual cortex. Imagine watching a group of children running around in brightly coloured T-shirts. How does your brain keep track of which colour goes with which T-shirt goes with which child? This project will use magnetic resonance imaging to identify where in our brains information about colour, shape and motion gets put together.
Neuronal and behavioural correlates of sensory adaptation. Sensory systems adapt to the statistics of their environment, and the consequences of this adaptation are evident in neuronal activity and in animal’s behaviour. This project will employ a novel paradigm to characterise how adaptation changes the response properties of individual sensory neurons to improve efficiency of information transmission.
Placing prediction into the fear circuit. How do we predict danger in our world? This project will identify the psychological mechanisms and brain pathways that allow us to learn to fear and to also overcome fear when it becomes pathological.
Cognitive neuroscience of spatial asymmetry: behaviour, genes and brain imaging. When humans distribute their attention in space, biases or asymmetries of spatial attention exist. Healthy individuals exhibit a processing advantage favouring left space but this advantage is lost in disorders such as unilateral spatial neglect, ADHD and dyslexia. This project will develop novel electrophysiological methods to dissociate the sensory, attentional, decision-making and motoric contributions to spatial ....Cognitive neuroscience of spatial asymmetry: behaviour, genes and brain imaging. When humans distribute their attention in space, biases or asymmetries of spatial attention exist. Healthy individuals exhibit a processing advantage favouring left space but this advantage is lost in disorders such as unilateral spatial neglect, ADHD and dyslexia. This project will develop novel electrophysiological methods to dissociate the sensory, attentional, decision-making and motoric contributions to spatial asymmetries. By interfacing electrophysiology with genetic, neurochemical and brain imaging methods, this project will comprehensively map the biology of spatial asymmetry. This knowledge is vital to developing effective treatments for disorders where atypical patterns of spatial asymmetry index neurological vulnerability.Read moreRead less
Poor social functioning in schizophrenia: understanding its causes and developing better treatments. This project will advance knowledge of the thinking processes and the associated neural changes that cause the lifelong social disability which characterises schizophrenia. Findings will, in turn, contribute to better identifying young people, at risk of developing schizophrenia, and inform the design of new interventions and treatments.
Understanding genetic and environmental risks of emotional disorders in childhood and adolescence. To reduce the burden of mental health disorders in Australia, this project will advance knowledge on genetic and environmental causes of anxiety and related disorders in children and adolescents. The results will allow better identification of children at risk for emotional problems and will identify new ways of tailoring prevention and treatment.
Insights from brain imaging to study the neural basis of cognition. This project aims to address a major challenge - the need for a better understanding of the basis for human cognition. Humans have a unique capacity for diverse, complex, thought and behaviour. To achieve this our brains need to rapidly and flexibly reconfigure, directing attention to different aspects of the world moment-to-moment as we think and act. The project will combine innovative analysis methods with state-of-the-art n ....Insights from brain imaging to study the neural basis of cognition. This project aims to address a major challenge - the need for a better understanding of the basis for human cognition. Humans have a unique capacity for diverse, complex, thought and behaviour. To achieve this our brains need to rapidly and flexibly reconfigure, directing attention to different aspects of the world moment-to-moment as we think and act. The project will combine innovative analysis methods with state-of-the-art neuroimaging and brain stimulation to understand how key brain regions drive this process. Insights from this project will link brain activation to behaviour, improve insights from brain imaging, and contribute a better understanding of the neural basis of cognition. Such insights can ultimately benefit the development of evidence based approaches to key areas of public concern such as health and education.Read moreRead less
Image constraints on the perception of surfaces and materials. Humans visually perceive objects that vary in 3D shape, colour, sheen, and opacity, but understanding how this information is recovered from the images seen remains a mystery. The brain must exploit constraints on the way images are formed through the interaction of light with different surface properties. This project aims to identify image constraints that the brain measures to infer this material diversity. This will advance under ....Image constraints on the perception of surfaces and materials. Humans visually perceive objects that vary in 3D shape, colour, sheen, and opacity, but understanding how this information is recovered from the images seen remains a mystery. The brain must exploit constraints on the way images are formed through the interaction of light with different surface properties. This project aims to identify image constraints that the brain measures to infer this material diversity. This will advance understandings of computational processes underlying material perception. It will create efficient innovations in image-based pattern recognition algorithms used for commercial and everyday applications, such as quality sorting of fresh produce, and monitoring driver performance in wet weather to reduce errors.Read moreRead less
The metrics of associative learning. All animals readily learn about associations between events in their environment, allowing them to use their past experience to predict future events based on current circumstances. This project develops a new approach to studying this simple learning process in humans and uses the approach to investigate the basis of this learning in the brain.