Microglia and the inflammation spectrum - not just good or bad. Cell-mediated tissue clearance following brain injury is a universal mechanism. However, our understanding of the cells that perform these tasks is very limited. Our project will characterise this inflammatory response at a single-cell level using the zebrafish spinal cord as a versatile experimental model. The project is expected to strongly contribute to the molecular understanding of the mechanisms underlying debris removal and w ....Microglia and the inflammation spectrum - not just good or bad. Cell-mediated tissue clearance following brain injury is a universal mechanism. However, our understanding of the cells that perform these tasks is very limited. Our project will characterise this inflammatory response at a single-cell level using the zebrafish spinal cord as a versatile experimental model. The project is expected to strongly contribute to the molecular understanding of the mechanisms underlying debris removal and will advance innovative technologies that facilitate intellectual progress in neuroscience. It will produce new insights into the process of neuronal degeneration, promote Australia’s growing reputation as a global leader in neuroscience, and provide high quality training for early career researchers.Read moreRead less
Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to ....Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to investigate a broad range of cognitive and communication functions. Benefits will include potential technologies and algorithms to assist listening (in devices such as hearing aids), language development and reading.Read moreRead less
Spatiotemporal signatures of learning in brain reward systems. Learning to strengthen behaviours that secure resources and warrant survival is one of the primary functions of the brain. This Project seeks to establish the rules that govern the integration of learning in brain reward systems by studying how neuronal circuits change their molecular signatures as animals assimilate new knowledge. These studies will combine novel experimental designs to investigate learning with multidisciplinary me ....Spatiotemporal signatures of learning in brain reward systems. Learning to strengthen behaviours that secure resources and warrant survival is one of the primary functions of the brain. This Project seeks to establish the rules that govern the integration of learning in brain reward systems by studying how neuronal circuits change their molecular signatures as animals assimilate new knowledge. These studies will combine novel experimental designs to investigate learning with multidisciplinary methods for mapping, recording and functionalising teaching signals in behaving mice. The outcomes will create a significant shift in our understanding of the neural bases that underlie reward learning, and will critically expand the field by providing a new model of learning integration in brain systems.Read moreRead less
Mechanisms of memory integration in brain systems. Learning from our interactions with the environment is one of the brain’s most important functions, yet how and where this process takes place at the neural network level has proven difficult to establish. This Project seeks to investigate how major neuromodulatory signals in the brain coordinate the encoding of reward-based learning in large ensembles of neurons. These studies will combine novel behavioural paradigms with the most recent neuros ....Mechanisms of memory integration in brain systems. Learning from our interactions with the environment is one of the brain’s most important functions, yet how and where this process takes place at the neural network level has proven difficult to establish. This Project seeks to investigate how major neuromodulatory signals in the brain coordinate the encoding of reward-based learning in large ensembles of neurons. These studies will combine novel behavioural paradigms with the most recent neuroscience techniques for functional mapping and manipulation of specific neural circuits in behaving mice. The outcomes of this research will lead to a significant shift in our understanding of the mechanisms underpinning the integration of learning in brain systems and its implications for behaviour.Read moreRead less
How satiation control reward value and cue-induced appetitive behaviours. This proposal aims to identify mechanisms that control environment-driven food-seeking behaviours. It seeks to do so by using modern virally-mediated and basic behavioural as well as histological techniques in a transgenic rat to characterise novel hindbrain circuits that control these feeding behaviours. This is significant as environment-driven overeating is problematic yet underlying mechanisms are unclear. This project ....How satiation control reward value and cue-induced appetitive behaviours. This proposal aims to identify mechanisms that control environment-driven food-seeking behaviours. It seeks to do so by using modern virally-mediated and basic behavioural as well as histological techniques in a transgenic rat to characterise novel hindbrain circuits that control these feeding behaviours. This is significant as environment-driven overeating is problematic yet underlying mechanisms are unclear. This project expects to provide new knowledge on when, where and how hindbrain neurons control environment-driven food-seeking behaviours. This should provide benefits to the advancement of knowledge on the neural mechanisms of food-seeking and provide a basic science platform for future research on the study of feeding behaviours.
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Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimenta ....Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimental validation on a surgical robot and a bipedal walking robot. This project will provide significant benefits by dramatically increasing the range of applications in which the power of machine learning can be safely applied to advance the capabilities and uptake of robotics.Read moreRead less
Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater moni ....Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.Read moreRead less
Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small system ....Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small systems are not suitable for efficient operations of large scale systems. Application examples include distributed state estimation for power networks, control of multi-agent systems and optimal scheduling of transportation networks. The outcomes of this project are vital to the understanding and management of these systems. Read moreRead less
Hippocampal regulation of goal-directed decision-making. The hippocampus is a part of the brain that is central to learning and memory yet little is known about its role in decision-making. It is the aim of this application to provide the first detailed, causal evidence of hippocampal regulation of decision-making. This is significant because many mental health disorders and dementias that involve decision-making deficits are characterised by hippocampal dysfunction, but any direct link between ....Hippocampal regulation of goal-directed decision-making. The hippocampus is a part of the brain that is central to learning and memory yet little is known about its role in decision-making. It is the aim of this application to provide the first detailed, causal evidence of hippocampal regulation of decision-making. This is significant because many mental health disorders and dementias that involve decision-making deficits are characterised by hippocampal dysfunction, but any direct link between these factors is unknown. The outcomes of the current grant will provide the first evidence of that link, thus providing deeper understanding of the neurophysiological mechanisms of these disorders, which could eventuate in the creation of more beneficial treatments. Read moreRead less