Coding of olfactory information in the piriform cortex. This project aims to understand how electrical activity in the primary olfactory (piriform) cortex enables mice to recognise and remember odours. By using optical recording techniques together with genetic tools, the project expects to generate new knowledge about how the mammalian brain builds internal representations of the external world. Specific outcomes of the project include new insights into the functional architecture of the pirifo ....Coding of olfactory information in the piriform cortex. This project aims to understand how electrical activity in the primary olfactory (piriform) cortex enables mice to recognise and remember odours. By using optical recording techniques together with genetic tools, the project expects to generate new knowledge about how the mammalian brain builds internal representations of the external world. Specific outcomes of the project include new insights into the functional architecture of the piriform cortex and fresh understanding of how olfactory information is encoded and stored in neural circuits. More broadly, the project aims to advance our understanding of how the brain works, with benefits for future improvements in artificial intelligence and brain-machine interfaces.Read moreRead less
Electrical properties of human dendrites. This project aims to determine the electrical properties of dendrites in human neurons. Dendrites are the primary site of synaptic input to neurons and their electrical properties play a key role in information processing in the brain. While we know much about the electrical properties of dendrites in other species, primarily rodents, little is known about the electrical properties of human dendrites. This project aims to address this gap in knowledge fo ....Electrical properties of human dendrites. This project aims to determine the electrical properties of dendrites in human neurons. Dendrites are the primary site of synaptic input to neurons and their electrical properties play a key role in information processing in the brain. While we know much about the electrical properties of dendrites in other species, primarily rodents, little is known about the electrical properties of human dendrites. This project aims to address this gap in knowledge for the first time. The results obtained will shed light on the mechanisms the brain uses to process information, and therefore will bring us a step closer to truly understanding ourselves.Read moreRead less
Role of the superior colliculus in sensory processing. The ability of an organism to attend to, and orient towards, stimuli in the environment is critical for survival. In the mammalian brain, the principal brain region performing this function is the superior colliculus. Despite its importance, little is known about the role the superior colliculus plays in sensory perception. This project addresses this issue by leveraging revolutionary new recording techniques to determine how the superior co ....Role of the superior colliculus in sensory processing. The ability of an organism to attend to, and orient towards, stimuli in the environment is critical for survival. In the mammalian brain, the principal brain region performing this function is the superior colliculus. Despite its importance, little is known about the role the superior colliculus plays in sensory perception. This project addresses this issue by leveraging revolutionary new recording techniques to determine how the superior colliculus codes sensory information and ultimately drives behaviour. The outcomes will be of immediate benefit to scientists studying sensory processing and perceptual decision making, and will help keep Australia at the forefront of brain-inspired engineering and the neuroscience-based knowledge economy.Read moreRead less
Modelling human brain development with stem cells and biomaterials. With limited resources to directly study and advance our understanding of human neural development, this
proposal will establish models of 4 key stages. Employing innovative, interdisciplinary approaches, biomaterials will be fabricated to provide structural and chemical support for human stem cells during: (i) neural induction, (ii) specification into neuronal progenitor subpopulations, (iii) neuronal maturation and integration ....Modelling human brain development with stem cells and biomaterials. With limited resources to directly study and advance our understanding of human neural development, this
proposal will establish models of 4 key stages. Employing innovative, interdisciplinary approaches, biomaterials will be fabricated to provide structural and chemical support for human stem cells during: (i) neural induction, (ii) specification into neuronal progenitor subpopulations, (iii) neuronal maturation and integration into complex neural networks as well as, (iv) the organisation of neurons into larger 3-dimensional brain structures, namely folding of the human cortex. Further, biomaterials developed here have commercialisation potential, targeted at standardizing the culturing of human stem cells to defined neural populations.
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Engineered plant receptors as orthogonal neuronal switches. This project aims to develop synthetic biology methods to study brain function by utilising engineered plant receptors. This project will expand our ability to manipulate nerve cell function with high specificity and without side effects in freely behaving animals. Plant receptors will be developed into molecular tools in an iterative process that improves key properties using rational protein design. Expected outcomes include innovativ ....Engineered plant receptors as orthogonal neuronal switches. This project aims to develop synthetic biology methods to study brain function by utilising engineered plant receptors. This project will expand our ability to manipulate nerve cell function with high specificity and without side effects in freely behaving animals. Plant receptors will be developed into molecular tools in an iterative process that improves key properties using rational protein design. Expected outcomes include innovative and broadly-applicable neuroscience methods and an understanding of receptors involved in plant growth and defense. Benefits of this project include an enhanced capacity to generate knowledge, multidisciplinary training opportunities and patentable synthetic biology technologies.Read moreRead less
A new platform technology for gene therapy . The project aims to make a landmark contribution to biological science by enabling programmed delivery of therapeutic payloads from biocompatible materials. It will employ a novel synthetic biology approach to form two distinct peptide-enabled molecular architectures in a single system. This is expected to deliver a platform technology that will allow successful programmed delivery of viral vectors. The project is likely to deliver significant societa ....A new platform technology for gene therapy . The project aims to make a landmark contribution to biological science by enabling programmed delivery of therapeutic payloads from biocompatible materials. It will employ a novel synthetic biology approach to form two distinct peptide-enabled molecular architectures in a single system. This is expected to deliver a platform technology that will allow successful programmed delivery of viral vectors. The project is likely to deliver significant societal benefit as a fundamental scientific platform, improving Australia's capacity and impact in the agriculture and the healthcare sectors. The platform technology has the potential to increase the quality of life for patients and their carers, while also produce fitter, healthier livestock.Read moreRead less
MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) ne ....MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) new methods for susceptibility diagnosis, 3) new defences that leverage privacy and utility. Data-oriented services are estimated to be valuable assets in the future. These techniques can help Australia gain cutting edge advantage in machine learning security and privacy and protect its intellectual property on these services.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. Read moreRead less
Verified concurrent memory management on modern processors. This project aims to formally verify automatic memory managers in the presence of concurrency and the weakly ordered memory of modern processors. A new framework for verifying memory managers, reusable for a wide range of managed programming languages, target hardware, policies, and algorithms will be developed. Expected technical outcomes include improved techniques to ensure trustworthiness of the foundations on which critical softwar ....Verified concurrent memory management on modern processors. This project aims to formally verify automatic memory managers in the presence of concurrency and the weakly ordered memory of modern processors. A new framework for verifying memory managers, reusable for a wide range of managed programming languages, target hardware, policies, and algorithms will be developed. Expected technical outcomes include improved techniques to ensure trustworthiness of the foundations on which critical software infrastructures are built. This will significantly enhance the security of public and private cyber assets, and deliver applications that are more robust and trustworthy, across a range of critical infrastructure such as transportation, communication, energy and defence.Read moreRead less