How the brain learns and uses inhibitory predictions. Humans and other animals readily learn about cues and actions that predict the absence of important events. Yet, how and where such inhibitory predictions are processed in the mammalian brain remains unclear. This project aims to demonstrate that inhibitory predictions are generally encoded and retrieved in the medial prefrontal cortex, without any detailed information about the absent events. It combines a unique behavioural approach with th ....How the brain learns and uses inhibitory predictions. Humans and other animals readily learn about cues and actions that predict the absence of important events. Yet, how and where such inhibitory predictions are processed in the mammalian brain remains unclear. This project aims to demonstrate that inhibitory predictions are generally encoded and retrieved in the medial prefrontal cortex, without any detailed information about the absent events. It combines a unique behavioural approach with the latest tools for manipulation of brain activity in behaving rodents. The project expects to generate new insights into how the mammalian brain extracts inhibitory predictions from the environment to guide our behaviours and decisions in the most optimal way.Read moreRead less
Understanding Growth in Emotion Regulatory Flexibility in Emerging Adults. Emerging adults (ages 18-25) are now facing unparalleled social and technological change and the on-going effects of the COVID-19 pandemic. Such demands can be overwhelming and undermine engagement with education and employment, with serious impacts for the individual and society. At the same time, our novel model proposes that the diverse daily adult-like stressors that characterise emerging adulthood can also drive grow ....Understanding Growth in Emotion Regulatory Flexibility in Emerging Adults. Emerging adults (ages 18-25) are now facing unparalleled social and technological change and the on-going effects of the COVID-19 pandemic. Such demands can be overwhelming and undermine engagement with education and employment, with serious impacts for the individual and society. At the same time, our novel model proposes that the diverse daily adult-like stressors that characterise emerging adulthood can also drive growth in flexible emotion regulation when combined with reflection on, and insight into, their own coping processes. Our research expands scientific knowledge by taking the first steps to uncover why some emerging adults increase their ability to flexibly regulate their emotions over this period, whereas others fail to do so.Read moreRead less
From me to you and beyond: understanding socially-induced nocebo effects. Nocebo effects – when negative expectancies trigger adverse outcomes – cause enormous personal and societal harm. We have made great progress understanding how instruction and conditioning contribute to nocebo effects. Yet, the role of social learning – what we learn by observing others – has received surprisingly little attention despite its relevance to many prominent societal-level nocebo effects. The current project us ....From me to you and beyond: understanding socially-induced nocebo effects. Nocebo effects – when negative expectancies trigger adverse outcomes – cause enormous personal and societal harm. We have made great progress understanding how instruction and conditioning contribute to nocebo effects. Yet, the role of social learning – what we learn by observing others – has received surprisingly little attention despite its relevance to many prominent societal-level nocebo effects. The current project uses novel experimental methods to understand how social learning contributes to nocebo effects and which strategies inhibit these effects. The results will significantly advance scientific understanding of socially-induced nocebo effects and pave the way for translational research to reduce the substantial harm they cause.Read moreRead less
Using AI to reveal the true extent & context of alcohol exposure in videos. This project aims to extend an artificial intelligence algorithm to automatically identify and quantify alcohol prevalence in videos. The project is expected to generate significant new knowledge about alcohol’s exposure in these videos’ social, emotional, and environmental contexts. The expected outcomes include a more efficient and automated method of revealing alcohol pervasiveness and its context in the 1000 most wat ....Using AI to reveal the true extent & context of alcohol exposure in videos. This project aims to extend an artificial intelligence algorithm to automatically identify and quantify alcohol prevalence in videos. The project is expected to generate significant new knowledge about alcohol’s exposure in these videos’ social, emotional, and environmental contexts. The expected outcomes include a more efficient and automated method of revealing alcohol pervasiveness and its context in the 1000 most watched videos in Australia, making costly manual coding redundant. Anticipated benefits include enabling governments to better monitor compliance to alcohol product placement guidelines and increased public awareness of the frequency and harmful effects of being exposed to alcohol in videos.Read moreRead less
Neural metrics for space time and numerosity. What we propose is ground-breaking research. It will increase Australia's international competitiveness is science, expand the knowledge base of brain function and psychology and provide valuable training for research scientists.
Identification and Examination of Visual Cues for Aircraft Glideslope Control. While aviation safety has improved dramatically over the last 50 years, accidents are still more common during landing than any other stage of flight. This project aims to improve our understanding of the way pilots use visual information to land an aircraft. Once our findings have been incorporated into existing training programs, this much-needed information should result in: (i) reduced pilot training time and cost ....Identification and Examination of Visual Cues for Aircraft Glideslope Control. While aviation safety has improved dramatically over the last 50 years, accidents are still more common during landing than any other stage of flight. This project aims to improve our understanding of the way pilots use visual information to land an aircraft. Once our findings have been incorporated into existing training programs, this much-needed information should result in: (i) reduced pilot training time and cost; (ii) increased trainee pilot safety and confidence; and (iii) reduced aircraft maintenance costs. A PhD student, who will be trained in visual perception and aviation, should contribute significantly to future aviation research in this country.Read moreRead less
A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critica ....A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critical applications, such as military or air traffic control systems, would benefit greatly. The proposed work tests whether the compositional methods will scale to more complex domains. The work will be coordinated with Australian industry, academia, and government research efforts.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
Organization and Plasticity of Visual Processing in a Miniature Brain. To recognise objects a brain must have an internal representation of most likely object appearance. Two ways in which brains may posses this information include a hard wired template system, and/or the neuroplasticity to learn novel objects. Recent investigations on honeybee vision show that this animal can learn to recognise very difficult objects, although currently we do not know how the miniaturised bee brain manages thes ....Organization and Plasticity of Visual Processing in a Miniature Brain. To recognise objects a brain must have an internal representation of most likely object appearance. Two ways in which brains may posses this information include a hard wired template system, and/or the neuroplasticity to learn novel objects. Recent investigations on honeybee vision show that this animal can learn to recognise very difficult objects, although currently we do not know how the miniaturised bee brain manages these tasks. This project will reveal changes that occur in the processing of visual objects by the bee's brain with increasing experience, with potential applications including robotics or building interfaces between sensors and biological systems.Read moreRead less
Choice models for learning and memory. Life is filled with familiar choices that often require quick decisions about objects in the environment and the contents of memory. This project examines how we learn to make rapid and accurate choices and how we quickly asses the level of confidence we have in recognition decisions based on our memories.