Testing the Modularity of Memory. Researchers disagree about whether verbal and visual working memory (WM) storage occurs in separate modules. Recent evidence suggests that only verbal memoranda have access to a specialised module, while visual memories make use of more general resources. This project aims to re-examine interference between verbal and visual memoranda using statistical methods specialised for assessing whether multiple latent factors underlie performance on recognition memory ta ....Testing the Modularity of Memory. Researchers disagree about whether verbal and visual working memory (WM) storage occurs in separate modules. Recent evidence suggests that only verbal memoranda have access to a specialised module, while visual memories make use of more general resources. This project aims to re-examine interference between verbal and visual memoranda using statistical methods specialised for assessing whether multiple latent factors underlie performance on recognition memory tasks, examining adult and child populations. This is expected to influence applications of WM theory in many everyday settings, resulting in improvements in educational practices, workplace procedures, and clinical treatments that depend on theoretical understandings of limits in cognition.Read moreRead less
Enhancing language learning via auditory training and parent-infant interaction. This project aims to improve adult language learning. Most adults struggle to pronounce foreign speech, because their native processing skills cannot process foreign sounds. During infancy, native sound perception is tuned through listening to variants of speech sounds while interacting with care-givers. This project aims to show that adults can reprogram their processing skills if placed in the rich environment ava ....Enhancing language learning via auditory training and parent-infant interaction. This project aims to improve adult language learning. Most adults struggle to pronounce foreign speech, because their native processing skills cannot process foreign sounds. During infancy, native sound perception is tuned through listening to variants of speech sounds while interacting with care-givers. This project aims to show that adults can reprogram their processing skills if placed in the rich environment available to infants. Rigorous testing will show whether auditory training improves processing of foreign speech sounds in adults and children and leads to successful understanding and pronunciation of foreign words. This project could benefit many Australian monolingual families who have not fully engaged with neighbouring cultures due to a language barrier.Read moreRead less
The role of social-emotional learning in attaining literacy and numeracy. This project aims to characterise variability in developmental pathways to literacy and numeracy, and the factors that contribute to this variation, utilising innovative analytical approaches and population data. This project expects to generate new knowledge regarding the role of school-based social-emotional learning programs in supporting children’s achievement of literacy and numeracy. Expected outcomes of the project ....The role of social-emotional learning in attaining literacy and numeracy. This project aims to characterise variability in developmental pathways to literacy and numeracy, and the factors that contribute to this variation, utilising innovative analytical approaches and population data. This project expects to generate new knowledge regarding the role of school-based social-emotional learning programs in supporting children’s achievement of literacy and numeracy. Expected outcomes of the project include enhanced collaboration with government to deliver policy-relevant information on the most effective targets and timing for delivering social-emotional programs that maximise academic learning. This should assist policy makers to develop better strategies to support every child’s academic achievement.Read moreRead less
Gendered engagement and participation in sciences and mathematics. This project aims to identify the reasons for the declining numbers of girls (and boys) studying sciences, technology, engineering and mathematics (STEM) subjects during secondary school. This project will conduct complementary longitudinal studies in Australia, in collaboration with leading international scholars, analysing declining motivations, especially for girls/women, to show how this predicts different STEM career choices ....Gendered engagement and participation in sciences and mathematics. This project aims to identify the reasons for the declining numbers of girls (and boys) studying sciences, technology, engineering and mathematics (STEM) subjects during secondary school. This project will conduct complementary longitudinal studies in Australia, in collaboration with leading international scholars, analysing declining motivations, especially for girls/women, to show how this predicts different STEM career choices and actual occupational outcomes, to yield theoretical developments and inform policy to improve the participation of girls/women (and boys/men) in these fields. Expected outcomes of this project include the provision of comprehensive evidence-informed recommendations to Federal and State government, industry and education stakeholders, which will enable the coordinated development of intervention programs to address these issues.Read moreRead less
The cognitive power of music. Why does music have life-changing effects on some people, and commonly produces powerful experiences in most of us? This project will unpack the common notion of the power of music from a cognitive perspective and will explain the mechanisms behind our attraction to music through empirical examination of human behaviours.
Modelling Adversarial Noise for Trustworthy Data Analytics. Adversarial robustness is a core property of trustworthy machine learning. This project aims to equip machines with the ability to model adversarial noise for defending adversarial attacks. The project expects to produce the next great step for artificial intelligence – the potential to robustly explore and exploit deceptive data. Expected outcomes of this project include theoretical foundations for modelling adversarial noise and the n ....Modelling Adversarial Noise for Trustworthy Data Analytics. Adversarial robustness is a core property of trustworthy machine learning. This project aims to equip machines with the ability to model adversarial noise for defending adversarial attacks. The project expects to produce the next great step for artificial intelligence – the potential to robustly explore and exploit deceptive data. Expected outcomes of this project include theoretical foundations for modelling adversarial noise and the next generation of intelligent systems to accommodate data in a noisy and hostile environment. This should benefit science, society, and the economy nationally and internationally through the applications to trustworthily analyse their corresponding complex data. Read moreRead less
Understanding bilingual language acquisition in northern Indigenous Australia: phonological, lexical, orthographic, and family factors. Children's language outcomes are critical for health, social inclusion, education and employment. In northern Australia many Indigenous children grow up as Kriol/English bilinguals in disadvantaged communities; this research will establish the linguistic, educational, and family factors in successful language acquisition for these children.
Seeing the forest and the trees: Cognitive and neural mechanisms underlying recognition of individual objects and sets. When confronted with a set of similar objects, such as a crowd of faces or a flow of oncoming cars, human observers can rapidly and seemingly automatically extract summary statistics of these sets of objects (e.g., mean expression or location). This research will provide insights into how the human visual system executes this massive feat of computation. This represents a vital ....Seeing the forest and the trees: Cognitive and neural mechanisms underlying recognition of individual objects and sets. When confronted with a set of similar objects, such as a crowd of faces or a flow of oncoming cars, human observers can rapidly and seemingly automatically extract summary statistics of these sets of objects (e.g., mean expression or location). This research will provide insights into how the human visual system executes this massive feat of computation. This represents a vital step in understanding vision in general and in eventually applying our knowledge to the development of artificial vision systems and to rehabilitation of visual disorders. The research will also investigate the effects of attentional load on perception of summary statistics of the environment, which is critical for tasks such as driving in busy traffic.Read moreRead less
Deep Adder Networks on Edge Devices. This project aims to empower edge devices with intelligence by developing advanced deep neural networks that address the conflict between the high resource requirements of deep learning and the generally inadequate performance of the edge. Multiplication has been the dominant type of operation in deep learning, though the addition is known to be much cheaper. This project expects to yield theories and algorithms that allow deep neural networks consisting of n ....Deep Adder Networks on Edge Devices. This project aims to empower edge devices with intelligence by developing advanced deep neural networks that address the conflict between the high resource requirements of deep learning and the generally inadequate performance of the edge. Multiplication has been the dominant type of operation in deep learning, though the addition is known to be much cheaper. This project expects to yield theories and algorithms that allow deep neural networks consisting of nearly pure additions to fulfil the requisites of accuracy, robustness, calibration and generalisation in real-world computer vision tasks. The success of this project will benefit deep learning-based products on smartphones or robots in health and cybersecurity.Read moreRead less
Attention please! Selective attention and human associative learning. Selective attention allows us to pick useful pieces of information out of the mass of stimulation that we're faced with every moment. This project investigates how what we've previously learnt about the significance of events influences whether we'll pick them out as useful in future, and how this might be impaired by old age or mental disorder.