Epigenetic mechanisms regulating sex differences in fear-related learning and memory. Anxiety disorders represent an enormous burden on society and are associated with premature aging and infertility in men and women. Evidence also indicates that parental anxiety affects child development. Given that fear-related learning has an important influence on emotional health which, in turn, affects lifestyle and the aging process, an understanding of the neural mechanisms mediating sex differences in ....Epigenetic mechanisms regulating sex differences in fear-related learning and memory. Anxiety disorders represent an enormous burden on society and are associated with premature aging and infertility in men and women. Evidence also indicates that parental anxiety affects child development. Given that fear-related learning has an important influence on emotional health which, in turn, affects lifestyle and the aging process, an understanding of the neural mechanisms mediating sex differences in fear learning will enhance our ability to develop better therapeutic approaches for treating anxiety and preventing relapse, potentially through a gender-specific approach. The studies outlined in this proposal will have implications for promoting and maintaining good health.Read moreRead less
Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the ....Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the effects of both environmental and social uncertainty in the pursuit of multiple goals. Intended benefits include the development of computational models that can simulate human decision making in complex environments, analyse new concepts of operation, redesign work roles, and identify factors that reduce risk in decision-making.Read moreRead less
Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demand ....Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demands when dealing with multiple stimuli or performing multiple tasks concurrently under time pressure. The project aims to provide the basic research that is needed to extend psychological models of choice to complex ‘real-world’ tasks, such air traffic control and maritime surveillance.Read moreRead less
Nurturing Australia's Little Multilingual Minds. Despite its substantial multilingual capacity of more than 300 languages, Australia has been described as a 'graveyard for languages'. In partnering with community organisations we will facilitate polyglot early learning, commencing with Spanish and Vietnamese. Expected outcomes are a deep understanding of multilingual families’ experiences, a model to support lifespan multilingual education, and openly-accessible database of child language in her ....Nurturing Australia's Little Multilingual Minds. Despite its substantial multilingual capacity of more than 300 languages, Australia has been described as a 'graveyard for languages'. In partnering with community organisations we will facilitate polyglot early learning, commencing with Spanish and Vietnamese. Expected outcomes are a deep understanding of multilingual families’ experiences, a model to support lifespan multilingual education, and openly-accessible database of child language in heritage languages. Benefits include a pivotal contribution to early childhood education with the creation of a tailor-made, principle-based program, which will enhance children’s academic achievement, familial social and mental wellbeing, and cultural and economic opportunities for all Australians. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101130
Funder
Australian Research Council
Funding Amount
$426,770.00
Summary
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final resp ....Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final response that people make. The expected outcome is a comprehensive understanding of the human decision process through cognitive models that provide an accurate reflection of this mental process. The benefit is an improved understanding of decisions, which are a fundamental part of everyday human life.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100772
Funder
Australian Research Council
Funding Amount
$393,414.00
Summary
Response Time Constraints on Category Learning. Theories of associative learning and decision-making are among the most mathematically well developed in psychology. However, theories of learning do not account for the time course of decision-making, and theories of decision-making do not account for how decision-relevant information is learned. This project will develop an integrated theoretical framework linking core principles of associative learning theories with sequential sampling models of ....Response Time Constraints on Category Learning. Theories of associative learning and decision-making are among the most mathematically well developed in psychology. However, theories of learning do not account for the time course of decision-making, and theories of decision-making do not account for how decision-relevant information is learned. This project will develop an integrated theoretical framework linking core principles of associative learning theories with sequential sampling models of the time course of decision-making. The new theory will provide a quantitative account of how incremental associative learning processes drive changes in cognitive representations that, in turn, account for known changes in the time course of decision-making.Read moreRead less
A process model of visual working memory. This project aims to develop a process model of encoding of items into memory. Working memory is central to almost all cognitive functions, but little is known about short-term memory for visual information. Progress in this area is slow because of a focus on models that do not specify the processes underlying memory, and no model explains the processes that would limit the number of items the memory can hold to four. A process model is expected to addre ....A process model of visual working memory. This project aims to develop a process model of encoding of items into memory. Working memory is central to almost all cognitive functions, but little is known about short-term memory for visual information. Progress in this area is slow because of a focus on models that do not specify the processes underlying memory, and no model explains the processes that would limit the number of items the memory can hold to four. A process model is expected to address fundamental issues in visual working memory.Read moreRead less
The role of relational information in the guidance of visual attention. The project aims to develop a new theory of attention that describes more accurately which items in the visual field can pop out and grab attention. The potential practical gains of the project are high, as it can lead to significant advancements in robotic vision, transport safety, and provide insights into clinical disorders such as ADHD.
Protein structure prediction by deep long-range learning. This project aims to address the challenging problem of protein structure prediction by developing deep long-range learning methods. The project expects to advance protein structure prediction by capturing the long-range interactions through whole sequence learning, rather than short window-based learning. Expected outcomes include next-generation machine-learning techniques for predicting one, two and three-dimensional protein structures ....Protein structure prediction by deep long-range learning. This project aims to address the challenging problem of protein structure prediction by developing deep long-range learning methods. The project expects to advance protein structure prediction by capturing the long-range interactions through whole sequence learning, rather than short window-based learning. Expected outcomes include next-generation machine-learning techniques for predicting one, two and three-dimensional protein structures from their sequences. The expected outcomes should provide significant benefits by computationally determining protein structures beyond homologous sequences, and enabling structure-based drug discovery to disease-causing protein targets previously inaccessible to biotech and pharmaceutical companies.Read moreRead less
The flipside of noise: Does it benefit listening and learning? People with low attention capacity can experience improvements in cognitive function (eg memory) in the presence of external white noise. This project aims to determine the brain mechanisms for this improvement and how it affects oral language comprehension and verbal learning. In doing so, the research would change the prevailing view that noise is always detrimental to mental processes, and provide a theoretical framework for predi ....The flipside of noise: Does it benefit listening and learning? People with low attention capacity can experience improvements in cognitive function (eg memory) in the presence of external white noise. This project aims to determine the brain mechanisms for this improvement and how it affects oral language comprehension and verbal learning. In doing so, the research would change the prevailing view that noise is always detrimental to mental processes, and provide a theoretical framework for predicting how an individual’s cognitive capacity is affected by the presence of noise. It may support the development of methods to improve educational participation and outcomes for children, particularly those with lower attention, and for older adults.Read moreRead less