Individual Differences in Orientations to Risk and Uncertainty. The main goal of this research project is to extend and integrate three individual-differences approaches to predicting and explaining human judgement and decision making (JDM) and risk-taking behaviours (RTB) under uncertainty: Cognitive-capacity, preferences and dispositions, and dual cognitive process approaches. It will achieve this by studying the joint impact of cognitive style, capacities, and RTB/JDM dispositions on performa ....Individual Differences in Orientations to Risk and Uncertainty. The main goal of this research project is to extend and integrate three individual-differences approaches to predicting and explaining human judgement and decision making (JDM) and risk-taking behaviours (RTB) under uncertainty: Cognitive-capacity, preferences and dispositions, and dual cognitive process approaches. It will achieve this by studying the joint impact of cognitive style, capacities, and RTB/JDM dispositions on performance in appropriate JDM tasks. JDM and RTB are at the root of managing uncertainty, human adaptiveness and rationality. This project will also extend our knowledge of gender differences in JDM and RTB, and lay foundations for systematic cross-cultural studies on this topic.Read moreRead less
Face recognition: Properties and origins of whole-face processing. Humans identify other individuals almost entirely by their faces. Correspondingly, research has demonstrated a "special" style of cognitive processing that is unique to faces (at least in ordinary adults). The present project will address two major theoretical issues: (1) the exact nature of the special processing for faces, and (2) the extent to which it is innate, or learned. New progress in understanding these issues will be m ....Face recognition: Properties and origins of whole-face processing. Humans identify other individuals almost entirely by their faces. Correspondingly, research has demonstrated a "special" style of cognitive processing that is unique to faces (at least in ordinary adults). The present project will address two major theoretical issues: (1) the exact nature of the special processing for faces, and (2) the extent to which it is innate, or learned. New progress in understanding these issues will be made using a series of novel experimental techniques. These techniques isolate the specific contribution of the face recognition system, independent of contributions from object recognition, and from early visual processing.Read moreRead less
Special cognitive processing for faces: Expertise effects, and links to neural mechanisms. Humans identify other individuals primarily by their faces. Evidence from cognitive psychology indicates a special 'whole-face' (as opposed to part-based) style of processing for upright faces. This project will provide new insights into two long-standing issues about the origin of special face processing: (1) whether it derives from generic expert recognition processes or has some face-specific innate co ....Special cognitive processing for faces: Expertise effects, and links to neural mechanisms. Humans identify other individuals primarily by their faces. Evidence from cognitive psychology indicates a special 'whole-face' (as opposed to part-based) style of processing for upright faces. This project will provide new insights into two long-standing issues about the origin of special face processing: (1) whether it derives from generic expert recognition processes or has some face-specific innate component; and (2) the extent to which it can be distinguished from part-based processing at the neural level using both functional brain imaging (fMRI) and adaptation to distorted faces.Read moreRead less
Language processing in children with high functioning autism: Evidence from eye tracking. The language abilities in people with autism predict their response to intervention and their cognitive outcome. Young children with autism with poor language abilities are severely disadvantaged. Yet we understand little about what impedes their language development and their interpretation of what others say. The research findings will make a significant contribution by enriching our understanding of why ....Language processing in children with high functioning autism: Evidence from eye tracking. The language abilities in people with autism predict their response to intervention and their cognitive outcome. Young children with autism with poor language abilities are severely disadvantaged. Yet we understand little about what impedes their language development and their interpretation of what others say. The research findings will make a significant contribution by enriching our understanding of why and how comprehension may go astray, as well as helping us to identify subgroups within the autism population.Read moreRead less
Trauma memory and narrative structure in post-traumatic distress. The project enhances understanding of factors that maintain enduring distress and disability following traumatic experiences which have major social and financial costs to individuals, communities and to the nation. Better knowledge of these factors is central to improving early detection and refining prevention and early intervention for individuals and to help understand how communities can better manage their response to sever ....Trauma memory and narrative structure in post-traumatic distress. The project enhances understanding of factors that maintain enduring distress and disability following traumatic experiences which have major social and financial costs to individuals, communities and to the nation. Better knowledge of these factors is central to improving early detection and refining prevention and early intervention for individuals and to help understand how communities can better manage their response to severe traumatic events. The results may lead to significant refinements to efficacious psychological treatments involving exposure to emotional memories. The project's innovative approach to studying autobiographical memories will enhance Australia's internationally competitiveness in a key area within psychology.Read moreRead less
Integrating holistic processing and face-space approaches to the perception of facial identity. Recognising faces is a socially crucial task, and humans are remarkably good at it. Scientists investigating the 'software' our brains use to recognise faces have referred to two different theories -- one when explaining why we distinguish faces better than objects, and the other in explaining why we distinguish some people's faces more easily than others. The project aims to integrate these two theor ....Integrating holistic processing and face-space approaches to the perception of facial identity. Recognising faces is a socially crucial task, and humans are remarkably good at it. Scientists investigating the 'software' our brains use to recognise faces have referred to two different theories -- one when explaining why we distinguish faces better than objects, and the other in explaining why we distinguish some people's faces more easily than others. The project aims to integrate these two theories. This has two potential long-term benefits: it will give a stronger basis for understanding what goes wrong in people where face recognition does not develop normally; and, the improved knowledge from a biological system may also lead to improved computer face recognition algorithms (eg. for airport security).Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668421
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
A MEG-based cognitive neuroscience laboratory. At present there is no MEG system in Australia, whereas MEG systems are currently springing up in research institutions in many other countries across the globe. This project will enable Australia to remain at the forefront of research in the cognitive neurosciences, as well as provide training opportunities to Australian doctoral students and postdoctoral fellows in the use of MEG in research. Finally, the MEG laboratory will allow Australian resea ....A MEG-based cognitive neuroscience laboratory. At present there is no MEG system in Australia, whereas MEG systems are currently springing up in research institutions in many other countries across the globe. This project will enable Australia to remain at the forefront of research in the cognitive neurosciences, as well as provide training opportunities to Australian doctoral students and postdoctoral fellows in the use of MEG in research. Finally, the MEG laboratory will allow Australian researchers to fill important gaps in our understanding of several areas of cognitive neuroscience, including basic auditory and visual processing, the study of cognitive processing in schizophrenia and in children with dyslexia and/or specific language impairment.Read moreRead less
Towards efficient real-time generation of detectable musical macrostructure. Efficient generation of detectable large scale musical structure is needed for commercial audiovisual applications, and for creative music making. But computer mediation of music has focused elsewhere: on sound synthesis and sequencing, editing, mixing and notation. I will apply computational processes like the handling of chunks of genetic information in evolution, to generate large scale musical structure. I will con ....Towards efficient real-time generation of detectable musical macrostructure. Efficient generation of detectable large scale musical structure is needed for commercial audiovisual applications, and for creative music making. But computer mediation of music has focused elsewhere: on sound synthesis and sequencing, editing, mixing and notation. I will apply computational processes like the handling of chunks of genetic information in evolution, to generate large scale musical structure. I will control segmentation; framing of internal segments; spatialisation; and the overlaying of separable musical streams. Expert cognitive assessment of the resultant structures will be investigated, and theories of segmentation, streaming and their relationships with expression and affect developed and tested.Read moreRead less
A longitudinal study of the interaction of home and school language in three Aboriginal communities. The importance of language skills cannot be underestimated, and contribute to 'a healthy start to life'. In multilingual Indigenous communities, children must negotiate the complexities of different languages used for different purposes. This project will provide detailed insights into how children manage differences between home and school language, the kinds of problems they encounter when the ....A longitudinal study of the interaction of home and school language in three Aboriginal communities. The importance of language skills cannot be underestimated, and contribute to 'a healthy start to life'. In multilingual Indigenous communities, children must negotiate the complexities of different languages used for different purposes. This project will provide detailed insights into how children manage differences between home and school language, the kinds of problems they encounter when they enter the school system, and how their languages develop over the first four crucial years of school which provide the foundation for the children's future education. Their ability to manage the language of school underpins their ability to lead successful and engaged lives as adults. Read moreRead less
Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training ....Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training, which are anticipated to deepen our understanding of visual representation and make it easier to build and deploy computer vision applications and services. Examples of benefits include modernising machines in manufacturing and farming with visual intelligence. Read moreRead less