The Role of Colour and Luminance in Spatial Location. How does the brain form our impression of the world? Black and white images appear normal to us. However, colour images without luminance variation have little depth, suggesting that the brain does not process colour in the same way as luminance. A series of fresh experiments examine how colour and luminance are utilised for seeing the depth and position of objects. The results will help us to understand how the first stages of visual process ....The Role of Colour and Luminance in Spatial Location. How does the brain form our impression of the world? Black and white images appear normal to us. However, colour images without luminance variation have little depth, suggesting that the brain does not process colour in the same way as luminance. A series of fresh experiments examine how colour and luminance are utilised for seeing the depth and position of objects. The results will help us to understand how the first stages of visual processing in the brain shape our sense of the world, and help develop theories of human vision, as well as animal and machine models of vision.Read moreRead less
Natural form, aesthetics and the human brain. This project aims to study how the brain represents the emotion of aesthetic experience. This project will establish the characteristics of flowers and floral design that govern their appeal using large scale web based data collection, and identify the neural representation of floral beauty using integrative data analysis. Outcomes of the project are expected to help flower growers and designers with product planning, supporting industry sustainabili ....Natural form, aesthetics and the human brain. This project aims to study how the brain represents the emotion of aesthetic experience. This project will establish the characteristics of flowers and floral design that govern their appeal using large scale web based data collection, and identify the neural representation of floral beauty using integrative data analysis. Outcomes of the project are expected to help flower growers and designers with product planning, supporting industry sustainability. The project will also establish how the brain generates positive experience in response to our visual environment, promoting well-being by enabling informed visual design decisions.Read moreRead less
Functional imaging of colour pathways in the living eye. In order to repair or regenerate a diseased eye, we require knowledge of the normal pattern or nerve cell connections, and knowing how biology solves the problem of colour vision can be used to improve the design of artificial vision systems. The adaptive optics machine we will build in this project can be used to image nerve cells, fine blood vessels, and nerve fibre bundles in the normal and diseased eye. This will improve Australia's re ....Functional imaging of colour pathways in the living eye. In order to repair or regenerate a diseased eye, we require knowledge of the normal pattern or nerve cell connections, and knowing how biology solves the problem of colour vision can be used to improve the design of artificial vision systems. The adaptive optics machine we will build in this project can be used to image nerve cells, fine blood vessels, and nerve fibre bundles in the normal and diseased eye. This will improve Australia's research and development capacity in this new area of medical diagnostics. Our machine will be made available to other Australian laboratories and will improve the national capacity for making further scientific discoveries about how the visual system works.Read moreRead less
Using written language to probe speech recognition models. Speech recognition models fall into two principal classes, with fundamentally different processing architectures. Feedback models (e.g. TRACE, McClelland & Elman, 1986) allow lexical knowledge to exert top-down control over phonemic analysis. Feedforward models (e.g. Merge, Norris, McQueen & Cutler, 2000) assume that information flow is entirely bottom-up. Our project adopts an innovative approach to testing between these model classe ....Using written language to probe speech recognition models. Speech recognition models fall into two principal classes, with fundamentally different processing architectures. Feedback models (e.g. TRACE, McClelland & Elman, 1986) allow lexical knowledge to exert top-down control over phonemic analysis. Feedforward models (e.g. Merge, Norris, McQueen & Cutler, 2000) assume that information flow is entirely bottom-up. Our project adopts an innovative approach to testing between these model classes, by examining the influence of written-word knowledge on speech perception. To distinguish the models, contrasts must test different processing levels and examine strategy effects. TRACE favors broad effects with limited strategic influence; Merge favors lexical effects that are necessarily sensitive to strategic factorsRead moreRead less
Reconciling perceptual and cognitive accounts of dyslexia: The neural rate deficit hypothesis. The proposed research will form part of a co-ordinated program to understand the causes of dyslexia, a disorder that affects a large number of children and often persists into adulthood. It complements parallel efforts to elucidate the genetic basis of dyslexia, the heterogeneity and subtypes of dyslexia, and the developmental precursors to the disorder. This research will inform early intervention and ....Reconciling perceptual and cognitive accounts of dyslexia: The neural rate deficit hypothesis. The proposed research will form part of a co-ordinated program to understand the causes of dyslexia, a disorder that affects a large number of children and often persists into adulthood. It complements parallel efforts to elucidate the genetic basis of dyslexia, the heterogeneity and subtypes of dyslexia, and the developmental precursors to the disorder. This research will inform early intervention and remediation efforts and will also assist in the understanding of the normal process of reading acquisition in children.Read moreRead less
Learning from our mistakes: How and when complex decisions fail. The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amoun ....Learning from our mistakes: How and when complex decisions fail. The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amounts of information nor is it clear whether they process multiple signals simultaneously (in parallel) or one after the other (serial). The project offers new measures, based on the rate and pattern of error responses, to supplement the commonly used response times. The combination of a theoretical framework, based on mathematical and computational work, with empirical data to test the models, may deliver a better understanding of human performance and its limitations.Read moreRead less
Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes incl ....Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes include benchmark data from a novel paradigm for studying perceptual decisions and behavior and a model which can explain and predict human scheduling. This project aims to benefit industry by allowing for the simulation of information prioritisation by human agents in complex environments.Read moreRead less
Redefining conceptions of child and adolescent emotional responses to music using time-series analysis. The National Review of Music Education recognizes the need to understand more fully how musical experiences impact on children's emotional and general development. Australian researchers are leaders in the field of continuous response to emotion in music. Our international leadership on this critically important issue will result in new ways of understanding music and teaching music to childre ....Redefining conceptions of child and adolescent emotional responses to music using time-series analysis. The National Review of Music Education recognizes the need to understand more fully how musical experiences impact on children's emotional and general development. Australian researchers are leaders in the field of continuous response to emotion in music. Our international leadership on this critically important issue will result in new ways of understanding music and teaching music to children through to adults because our explanations of affective aspects of music will be framed within a scientific perspective which moves beyond learning the purely technical and subjective aspects of music appreciation.Read moreRead less
Temperature sensitivity of soil respiration and its components. This project aims to demonstrate how temperate evergreen forests could buffer against climate change. Soil respiration returns around half the carbon taken up by forests to the atmosphere. This project will characterise and quantify how microbes and roots in soils depend on temperature and substrate supply, and so predict how rising temperatures and drought will affect forests as natural carbon sequestration sinks. This project will ....Temperature sensitivity of soil respiration and its components. This project aims to demonstrate how temperate evergreen forests could buffer against climate change. Soil respiration returns around half the carbon taken up by forests to the atmosphere. This project will characterise and quantify how microbes and roots in soils depend on temperature and substrate supply, and so predict how rising temperatures and drought will affect forests as natural carbon sequestration sinks. This project will resolve the roles of environmental drivers of soil respiration across forests; integrate mechanistic understanding of differing plant and microbial responses to temperature within a common modelling framework; and evaluate the implications of this knowledge in predictions of climatic impacts on terrestrial carbon cycling.Read moreRead less
Tree-mediated methane fluxes: A new frontier in the global carbon cycle. Methane is an extremely potent greenhouse gas. Recent evidence suggests that tree-mediated fluxes may be a significant, but overlooked source of methane to the atmosphere. This project aims to quantify the magnitude and drivers of tree-mediated methane fluxes from Australia’s dominant forest types. Innovatively, we will be using a novel combination of empirical field based measurements, gas tracer experiments, microbial ana ....Tree-mediated methane fluxes: A new frontier in the global carbon cycle. Methane is an extremely potent greenhouse gas. Recent evidence suggests that tree-mediated fluxes may be a significant, but overlooked source of methane to the atmosphere. This project aims to quantify the magnitude and drivers of tree-mediated methane fluxes from Australia’s dominant forest types. Innovatively, we will be using a novel combination of empirical field based measurements, gas tracer experiments, microbial analysis and modelling methods. Expected outcomes are a mechanistic understanding of tree-mediated methane fluxes, helping to constrain regional, national and global methane budgets. The results of this study will help inform publicly funded greenhouse gas abatement strategies, ensuring a maximal return on investment.Read moreRead less