Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encodi ....Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encoding and retrieval processes, the model can assess how changes in different sources of interference modulate performance through the trajectory of early development. Hierarchical Bayesian estimation aims to enable a simultaneous account of multiple tasks and support future deployment in applied contexts.Read moreRead less
A Dimensional Approach To Mapping The Risk Mechanisms Of Mental Illness
Funder
National Health and Medical Research Council
Funding Amount
$1,677,975.00
Summary
There is ongoing debate about whether current definitions of mental disorders are accurate. We will use statistical techniques to identify the core dimensions of liability for mental illness, and map how genes and brain organization drive differences between people along each dimension.
The Psychology of Misinformation—Towards A Theory-driven Understanding. The project aims to develop a psychological theory of misinformation effects. Misinformation influences people’s memory, reasoning and decision-making even after corrections – it thus poses a significant challenge for science and society. Through the combination of systematic experimentation with theory-driven computational modelling, the project will strive to concurrently consider individual-level cognition and the impact ....The Psychology of Misinformation—Towards A Theory-driven Understanding. The project aims to develop a psychological theory of misinformation effects. Misinformation influences people’s memory, reasoning and decision-making even after corrections – it thus poses a significant challenge for science and society. Through the combination of systematic experimentation with theory-driven computational modelling, the project will strive to concurrently consider individual-level cognition and the impact of sociocultural context. It is anticipated that this novel integrative approach will substantially expand our understanding of misinformation effects, and that this theoretical progress will result in the formulation of specific communication strategies to reduce the impact of misinformation on society.Read moreRead less
Special Research Initiatives - Grant ID: SR0354596
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Perception and Action in Auditory Scenes (PAAS): Neural, Behavioural, Computational and Mechanical Systems. Auditory scenes are temporal and ephemeral yet pervasively influence human life. How humans negotiate such scenes has not been solved, a fact highlighted by attempts to build machines to respond to speech, warnings etc., in real-world situations with room reverberation, different talkers, and background noise. No one discipline can solve such problems. In this network outstanding researche ....Perception and Action in Auditory Scenes (PAAS): Neural, Behavioural, Computational and Mechanical Systems. Auditory scenes are temporal and ephemeral yet pervasively influence human life. How humans negotiate such scenes has not been solved, a fact highlighted by attempts to build machines to respond to speech, warnings etc., in real-world situations with room reverberation, different talkers, and background noise. No one discipline can solve such problems. In this network outstanding researchers from physical, medical, human, and social sciences with interests in speech, music and audition will provide insights into how humans and machines localize, recognize, interpret and produce auditory events, and advance frontier technologies, e.g., automatic speech recognition, hearing prostheses, auditory monitoring/warning systems.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