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
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
Mapping sites of visceral convergence connecting the colon and bladder. This project aims to develop multiple neuroanatomical approaches to identify where in the central nervous system the sensory signalling from the colon and bladder merge. The combination of such technologies is novel to the study of the central circuits relaying colon/bladder convergence into the brain and will generate new and detailed knowledge of the central pathways in which pelvic organ sensory (discomfort) and motor (de ....Mapping sites of visceral convergence connecting the colon and bladder. This project aims to develop multiple neuroanatomical approaches to identify where in the central nervous system the sensory signalling from the colon and bladder merge. The combination of such technologies is novel to the study of the central circuits relaying colon/bladder convergence into the brain and will generate new and detailed knowledge of the central pathways in which pelvic organ sensory (discomfort) and motor (defecation/urination) functions are coordinated. The expected outcomes are predicted to aid future discovery of mechanisms of cross-organ sensitisation and are anticipated to provide significant benefit to therapy development for chronic visceral pain syndromes associated with bowel and bladder dysfunction.Read moreRead less
Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an in ....Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an increased understanding of neural mechanisms underlying sensory selectivity, the development of novel techniques, and enhanced capacity for interdisciplinary collaborations. The project will provide significant knowledge as the developed biomimetic algorithms should be applicable for increased performance in drones or other unmanned vehicles.Read moreRead less
How does timing affect mammalian brain development and evolution? This project aims to generate fundamental knowledge on the origin of diversity in mammalian brain circuits by studying development of marsupials and rodents. The expected outcome is to elucidate how differences in the timing, rate and sequence of development of gene expression, cell differentiation and circuit formation can relate to the origin of key evolutionary innovations in the mammalian brain. The significance of understandi ....How does timing affect mammalian brain development and evolution? This project aims to generate fundamental knowledge on the origin of diversity in mammalian brain circuits by studying development of marsupials and rodents. The expected outcome is to elucidate how differences in the timing, rate and sequence of development of gene expression, cell differentiation and circuit formation can relate to the origin of key evolutionary innovations in the mammalian brain. The significance of understanding the dynamics of developmental systems that shape complex brain traits includes establishing new developmental paradigms in evolutionary theory, generating new tools to investigate and manipulate brain gene expression in vivo, and the potential discovery of the causes of neurodevelopmental dysfunction.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
From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden ....From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden behind another object. This project will investigate how brains use both environmental and internal information to select a target and predict its future location. By implementing bio-inspired computations in hardware, this project aims to provide significant benefits such as improving autonomous systems for defence, health and transportation.Read moreRead less
Comparative analysis of sensor noise for target detection in dragonfly eyes. Dragonflies hunt tiny prey in the low-light conditions of late dusk, a signal-to-noise problem that challenges any engineered system. Using a comparative approach across dragonfly species, we aim to use novel optical and physiological measures to determine how sensors with noise underlie target-detection, in varying scene brightness. The project outcomes will be a comparative characterisation of signal-to-noise measures ....Comparative analysis of sensor noise for target detection in dragonfly eyes. Dragonflies hunt tiny prey in the low-light conditions of late dusk, a signal-to-noise problem that challenges any engineered system. Using a comparative approach across dragonfly species, we aim to use novel optical and physiological measures to determine how sensors with noise underlie target-detection, in varying scene brightness. The project outcomes will be a comparative characterisation of signal-to-noise measures of dragonfly eye optics (including eye size) and early sensory neurons. We will match detection thresholds with downstream target-detecting neurons and dragonfly behaviour. This will provide insight into signal detection, which is a ubiquitous problem across information processing, computer vision and autonomous systems.Read moreRead less