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
Determining principles for successful episode retrieval of repeated events. This project aims to develop the first-ever set of explanatory principles for how people successfully retain and retrieve individual episode memories from repeated experiences (e.g., one occurrence of a routine social encounter or job-related activity). By deepening our understanding of how memory works, this new knowledge is expected to lay the foundation for interview guidance and ongoing research aimed at enhancing th ....Determining principles for successful episode retrieval of repeated events. This project aims to develop the first-ever set of explanatory principles for how people successfully retain and retrieve individual episode memories from repeated experiences (e.g., one occurrence of a routine social encounter or job-related activity). By deepening our understanding of how memory works, this new knowledge is expected to lay the foundation for interview guidance and ongoing research aimed at enhancing the proficiency of investigations into matters that rely on detailed and accurate accounts of specific episodes. This includes workplace or traffic accident investigations, infectious disease contact tracing, as well as prosecution of repeated sexual offences.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882345
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
A 3.0 Tesla MRI system for human cognitive neuroscience research. For the first time scientists are beginning to reveal the complex relationship between human brain function and behaviour. These advances have stemmed almost exclusively from the development of sophisticated brain scanning techniques that provide high-resolution images of physiological changes associated with perceptual, cognitive and motor behaviours. This application seeks support for a state-of-the-art scanner to obtain high-re ....A 3.0 Tesla MRI system for human cognitive neuroscience research. For the first time scientists are beginning to reveal the complex relationship between human brain function and behaviour. These advances have stemmed almost exclusively from the development of sophisticated brain scanning techniques that provide high-resolution images of physiological changes associated with perceptual, cognitive and motor behaviours. This application seeks support for a state-of-the-art scanner to obtain high-resolution images of the brain as healthy adults perceive, think, learn, remember and decide. The facility will enable Australian scientists to understand the complex links between brain and behaviour in health and disease.Read moreRead less
Concept learning and Structure Formation for Document Navigation. This proposal is motivated by its interest in document retrieval and
discovery using formal concept analysis. The hypothesis to be tested
is that logical structures can be automatically inferred from
a document collection using information inference and
concept learning.
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100477
Funder
Australian Research Council
Funding Amount
$421,554.00
Summary
Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and ....Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101159
Funder
Australian Research Council
Funding Amount
$420,556.00
Summary
Understanding the role of hemispheric communication in the human brain. A crucial question in cognitive neuroscience regards how humans integrate perceptual information to understand and interact with our environment. This project aims to identify neural processes that operate competitively and cooperatively within the left and right hemispheres to understand how the human brain integrates information for perception. This project expects to generate new insight into the nature of hemispheric com ....Understanding the role of hemispheric communication in the human brain. A crucial question in cognitive neuroscience regards how humans integrate perceptual information to understand and interact with our environment. This project aims to identify neural processes that operate competitively and cooperatively within the left and right hemispheres to understand how the human brain integrates information for perception. This project expects to generate new insight into the nature of hemispheric communication and perceptual decision making. This should provide significant benefits by understanding how the two brain hemispheres process different visual information yet communicate efficiently to allow seamless interface with the world.Read moreRead less
Insights from brain imaging to study the neural basis of cognition. This project aims to address a major challenge - the need for a better understanding of the basis for human cognition. Humans have a unique capacity for diverse, complex, thought and behaviour. To achieve this our brains need to rapidly and flexibly reconfigure, directing attention to different aspects of the world moment-to-moment as we think and act. The project will combine innovative analysis methods with state-of-the-art n ....Insights from brain imaging to study the neural basis of cognition. This project aims to address a major challenge - the need for a better understanding of the basis for human cognition. Humans have a unique capacity for diverse, complex, thought and behaviour. To achieve this our brains need to rapidly and flexibly reconfigure, directing attention to different aspects of the world moment-to-moment as we think and act. The project will combine innovative analysis methods with state-of-the-art neuroimaging and brain stimulation to understand how key brain regions drive this process. Insights from this project will link brain activation to behaviour, improve insights from brain imaging, and contribute a better understanding of the neural basis of cognition. Such insights can ultimately benefit the development of evidence based approaches to key areas of public concern such as health and education.Read moreRead less
An extensible framework for analysis of Java language-based security conformance. Java is a programming language and platform running on 3 billion devices. While Java provides a sandbox-based security architecture within the Java Class Library to protect systems from untrusted code downloaded from Internet, it cannot defend against implementation bugs that occur in the Java Class Library. The goal of this project is to provide a formal model of the Java security architecture, which can be used b ....An extensible framework for analysis of Java language-based security conformance. Java is a programming language and platform running on 3 billion devices. While Java provides a sandbox-based security architecture within the Java Class Library to protect systems from untrusted code downloaded from Internet, it cannot defend against implementation bugs that occur in the Java Class Library. The goal of this project is to provide a formal model of the Java security architecture, which can be used by program analysers to identify faulty or insufficient security checks in the Java Class Library that may lead to the sandbox being bypassed.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less