Benchmarking the neurophysiology of human cortex models in vitro. This project aims to improve human brain models in vitro by developing an analytical tool benchmarking biophysical similarities to the adult human cortex. This project expects to generate new knowledge by testing for the first time the theory that integrating sensory-like inputs and awake/sleep-like cycles of electrical activity in vitro may complete the maturation of human brain organoid models. It will also generate new methods ....Benchmarking the neurophysiology of human cortex models in vitro. This project aims to improve human brain models in vitro by developing an analytical tool benchmarking biophysical similarities to the adult human cortex. This project expects to generate new knowledge by testing for the first time the theory that integrating sensory-like inputs and awake/sleep-like cycles of electrical activity in vitro may complete the maturation of human brain organoid models. It will also generate new methods to simplify the analysis of multimodal path-clamping data (Patch-seq). Expected outcomes will facilitate research collaboration and the reproducibility of accurate experimental replicates of the human brain. This will provide significant benefits in the global race to understand human brain computation mechanisms.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Human Leukocyte Antigen-A and -B regulation of Natural Killer cell function. The aim of this project is to determine how genetic variation in the genes encoding cell surface receptors expressed by innate lymphocytes and the molecules they recognise diversifies their capacity to sense and respond to infection. This knowledge is critical for understanding why there are intrinsic differences between individuals with respect to their capacity to respond to different types of infection and will ultim ....Human Leukocyte Antigen-A and -B regulation of Natural Killer cell function. The aim of this project is to determine how genetic variation in the genes encoding cell surface receptors expressed by innate lymphocytes and the molecules they recognise diversifies their capacity to sense and respond to infection. This knowledge is critical for understanding why there are intrinsic differences between individuals with respect to their capacity to respond to different types of infection and will ultimately inform our capacity to better deploy personalised medicines.Read moreRead less
Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to ....Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to significantly reduce the number of interactions required, improve generalisation, and provide the agent with the capability to consider the cause-effects. These improvements would narrow the gap between AI and human capabilities and broaden the adoption of RL in real-world applications.Read moreRead less
Organic Bioelectronics: Solving Key Barriers to Precision Neuromodulation. This project aims to combine the principles of molecular electronics and neurobiology to create organic conductors with enhanced biocompatibility that enable optical neuromodulation. This project expects to generate new knowledge regarding the properties of materials that promote connectivity with neurons and the ability of new microscopy tools to visualise this bio-interface. The expected outcome of this project includes ....Organic Bioelectronics: Solving Key Barriers to Precision Neuromodulation. This project aims to combine the principles of molecular electronics and neurobiology to create organic conductors with enhanced biocompatibility that enable optical neuromodulation. This project expects to generate new knowledge regarding the properties of materials that promote connectivity with neurons and the ability of new microscopy tools to visualise this bio-interface. The expected outcome of this project includes new high performing materials, measurement tools and fabrication approaches to overcome the key challenges to precision neuromodulation. A significant benefit of the new materials is their printability, providing the opportunity to establish a sovereign capability to manufacture low-cost bioelectronic systems in Australia.Read moreRead less
Cellular bases of enteric neural circuitry underlying gut propulsion. This project aims to investigate the neural bases of behaviour in the mammalian gut. The Enteric Nervous System (ENS) plays a critical role in the propulsion of intestinal contents. This project expects to establish how specific functional classes of enteric neurons control propulsion along the gut. By recording the simultaneous neural activity from hundreds of different functional classes of enteric nerve cells simultaneously ....Cellular bases of enteric neural circuitry underlying gut propulsion. This project aims to investigate the neural bases of behaviour in the mammalian gut. The Enteric Nervous System (ENS) plays a critical role in the propulsion of intestinal contents. This project expects to establish how specific functional classes of enteric neurons control propulsion along the gut. By recording the simultaneous neural activity from hundreds of different functional classes of enteric nerve cells simultaneously, whilst recording intestinal muscle electrical activity and the movements of the gut wall, the project expects to identify which enteric neurochemical classes of neurons generate specific motor patterns along the intestine.Read moreRead less
ARC Centre of Excellence for the Digital Child. Our vision is for Australian children to be healthy, educated and connected. This Centre will integrate child health, education, and digital and social connectedness, innovating across disciplines to meet Australia’s ongoing challenges of supporting young children growing up in a rapidly changing digital age. The Centre’s world-leading team investigates children’s digital practices through three interconnected research programs supported by a longi ....ARC Centre of Excellence for the Digital Child. Our vision is for Australian children to be healthy, educated and connected. This Centre will integrate child health, education, and digital and social connectedness, innovating across disciplines to meet Australia’s ongoing challenges of supporting young children growing up in a rapidly changing digital age. The Centre’s world-leading team investigates children’s digital practices through three interconnected research programs supported by a longitudinal family cohort study and children’s technology laboratories. The Centre will address tensions in a contested field to inform government and non-government policy, technology innovation, and develop programs and guidelines for children, families, educators and technology developers. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100604
Funder
Australian Research Council
Funding Amount
$436,600.00
Summary
How do cells sense and react to mechanical forces? There is accumulating evidence that mechanical forces exerted on tissues and cells strongly influences their behaviour. My research aims to understand how cells sense and respond to forces experienced throughout life. Using a combination of three-dimensional cell and tissue culture methods, I will investigate how compressive forces change the biochemistry of cells and their functionality. This work is aimed at generating fundamental knowledge to ....How do cells sense and react to mechanical forces? There is accumulating evidence that mechanical forces exerted on tissues and cells strongly influences their behaviour. My research aims to understand how cells sense and respond to forces experienced throughout life. Using a combination of three-dimensional cell and tissue culture methods, I will investigate how compressive forces change the biochemistry of cells and their functionality. This work is aimed at generating fundamental knowledge to improve our comprehension of how cells respond to force. The expected outcome is a greater understanding of mechanical and biochemical relationships between cells and the environment, to inform fields of tissue engineering of culture scaffolds to better mimic natural cell-tissue settings.Read moreRead less
Parametric VR: An Interactive Virtual Reality System for Parametric Design. This project aims to create a new and intuitive set of user interactions for Virtual Reality (VR) to support parametric designers in architecture and design. Parametric tools are an emerging design technology dominating contemporary practices, yet their interfaces are on traditional desktop computers while VR is only employed to visualise the geometric models produced by the end design. This project will generate Paramet ....Parametric VR: An Interactive Virtual Reality System for Parametric Design. This project aims to create a new and intuitive set of user interactions for Virtual Reality (VR) to support parametric designers in architecture and design. Parametric tools are an emerging design technology dominating contemporary practices, yet their interfaces are on traditional desktop computers while VR is only employed to visualise the geometric models produced by the end design. This project will generate Parametric VR, a system of VR tools to support parametric design. Key outcomes include software tools and demonstrators to support parametric algorithms and processes in VR. This will have significant benefits for design industries, allowing designers to directly edit parametric design entirely in VR across the project lifecycle.Read moreRead less
Investigating the evolution of innate and adaptive cellular immunity. This proposal aims to assess the impact of geographical and genetic isolation of the Australian Indigenous population on adaptive and innate immune systems. The project will use novel DNA sequencing approaches to generate the high resolution sequences of two genetic loci that regulate innate and adaptive immune responses, the major histocompatibility complex locus and the killer cell immunoglobulin-like receptor locus. In an i ....Investigating the evolution of innate and adaptive cellular immunity. This proposal aims to assess the impact of geographical and genetic isolation of the Australian Indigenous population on adaptive and innate immune systems. The project will use novel DNA sequencing approaches to generate the high resolution sequences of two genetic loci that regulate innate and adaptive immune responses, the major histocompatibility complex locus and the killer cell immunoglobulin-like receptor locus. In an initial screen, distinct variants and combinations of these genes were identified. This project aims to interrogate how variation in these critical genes impacts on the function of cytotoxic lymphocytes, providing insights into the evolutionary drivers of immune recognition mechanisms.Read moreRead less