The Dreamscape Project: Phenomenology and neurophysiology of dreams. The Dreamscape Project aims to discover the neural basis of dreaming. Building on the world’s largest database of sleep electroencephalograms (EEG) and associated dream reports, the project applies cutting-edge analyses of neural activity to resolve why each night, healthy adults alternate between unconscious sleep and vivid dreams. The results promise to shed light on the mystery of dreaming and help locate consciousness in th ....The Dreamscape Project: Phenomenology and neurophysiology of dreams. The Dreamscape Project aims to discover the neural basis of dreaming. Building on the world’s largest database of sleep electroencephalograms (EEG) and associated dream reports, the project applies cutting-edge analyses of neural activity to resolve why each night, healthy adults alternate between unconscious sleep and vivid dreams. The results promise to shed light on the mystery of dreaming and help locate consciousness in the physical world. Expected outcomes include best-practice guidelines for dream research and a model of open data-sharing for consciousness science. Anticipated benefits include deeper understanding of how and why everyone dreams, the role of dreams in waking life, and their impact on sleep quality and well-being.Read moreRead less
Neurochemical predictors of cognition and the impact of brain stimulation. This project aims to determine how neurochemical equilibrium between excitation and inhibition (E/I balance), across the brain, is associated with executive function and how this balance is influenced by non-invasive brain stimulation. Brain stimulation shows immense promise for enhancing executive function in applied settings, but the neurochemical basis for this is unknown. Using advanced imaging and stimulation techniq ....Neurochemical predictors of cognition and the impact of brain stimulation. This project aims to determine how neurochemical equilibrium between excitation and inhibition (E/I balance), across the brain, is associated with executive function and how this balance is influenced by non-invasive brain stimulation. Brain stimulation shows immense promise for enhancing executive function in applied settings, but the neurochemical basis for this is unknown. Using advanced imaging and stimulation techniques, the project aims to provide comprehensive insights into the causal relationship between stimulation, E/I balance and executive function. Outcomes and benefits include identifying neurochemical characteristics that determine stimulation efficacy and informing the design of protocols for applied use.Read moreRead less
Bridging the meaning gap: A computational approach to semantic variation. This project aims to create and validate a new class of large language models that capture and partially explain semantic variation between people. We will (1) measure nuanced differences in word meaning and linguistic experience across individuals; (2) develop computational models that incorporate this variation; and (3) evaluate the extent to which the models capture behavioural and cognitive differences related to polit ....Bridging the meaning gap: A computational approach to semantic variation. This project aims to create and validate a new class of large language models that capture and partially explain semantic variation between people. We will (1) measure nuanced differences in word meaning and linguistic experience across individuals; (2) develop computational models that incorporate this variation; and (3) evaluate the extent to which the models capture behavioural and cognitive differences related to political affiliation, gender, and culture. This will advance our understanding of the nature and origin of individual differences as well as improve the calibration of AI systems for under-represented groups. These advances will support eventual applied outcomes in health, domestic security, and resilience to misinformation. Read moreRead less
Using cognitive models to understand memorability of real world images. This proposal aims to understand and make predictions about which real world images -- specifically living things, objects, and human faces -- that people will remember remember via an integration of cognitive models of memory and machine learning techniques. Computer vision models and similarity scaling techniques will be used to produce psychological representations of the images. These representations will then be integra ....Using cognitive models to understand memorability of real world images. This proposal aims to understand and make predictions about which real world images -- specifically living things, objects, and human faces -- that people will remember remember via an integration of cognitive models of memory and machine learning techniques. Computer vision models and similarity scaling techniques will be used to produce psychological representations of the images. These representations will then be integrated with cognitive models of memory, which predict that images are more likely to be recognized if they are similar to each of the representations in memory. Large scale memory and similarity rating datasets will be used to develop and test the model.Read moreRead less
Towards a cognitive process model of how attention and choice interact. Before making any decision, we must gather information on what options are available. This process may influence the choices we make: if we do not notice an option, we will not choose it even if it would have been valuable. This project aims to examine how prior experience can produce attentional biases that influence decisions, and will develop a new computational model of this interaction of attention and choice as an outc ....Towards a cognitive process model of how attention and choice interact. Before making any decision, we must gather information on what options are available. This process may influence the choices we make: if we do not notice an option, we will not choose it even if it would have been valuable. This project aims to examine how prior experience can produce attentional biases that influence decisions, and will develop a new computational model of this interaction of attention and choice as an outcome. This new knowledge will enhance the world-class status of Australian cognitive psychology. Moreover, it should provide significant benefits through improving our ability to predict and shape behaviour, and shedding light on the role of biases in healthy cognition and in the context of compulsive behaviours.Read moreRead less
The Misinformation Future—Confronting Emerging Threats. Misinformation presents challenges to public health and democracy. Though psychological research has explored processing mechanisms and countermeasures, new threats are arising that need to be confronted. This project aims to help meet these threats by (a) investigating misinformation impacts on future-oriented cognition and behaviours, with a focus on global long-term issues and (b) addressing the unique challenges posed by visual and synt ....The Misinformation Future—Confronting Emerging Threats. Misinformation presents challenges to public health and democracy. Though psychological research has explored processing mechanisms and countermeasures, new threats are arising that need to be confronted. This project aims to help meet these threats by (a) investigating misinformation impacts on future-oriented cognition and behaviours, with a focus on global long-term issues and (b) addressing the unique challenges posed by visual and synthetic (AI-generated) misinformation. The expected outcome is new knowledge on the processing and impacts of emerging types of misinformation and translation into practical interventions. These promise to benefit consumers, educators and policymakers, contributing to a healthier information environment.Read moreRead less