A role for sleep in optimising attention. All animal brains are prediction machines, which allows even tiny flies to effectively navigate complex environments. To predict what will happen next is important for guiding attention, but also for detecting anything surprising. This project aims to understand how prediction is optimized by sleep in Drosophila flies. We aim to use electrophysiology and calcium imaging to map visual prediction error signals across the fly brain, and then determine how g ....A role for sleep in optimising attention. All animal brains are prediction machines, which allows even tiny flies to effectively navigate complex environments. To predict what will happen next is important for guiding attention, but also for detecting anything surprising. This project aims to understand how prediction is optimized by sleep in Drosophila flies. We aim to use electrophysiology and calcium imaging to map visual prediction error signals across the fly brain, and then determine how genetically controlled delivery of sleep regulates the quality and distribution of these signals. This knowledge will benefit our understanding of how brains balance a capacity for prediction versus surprise, by examining how evolution has solved this difficult problem in the smallest brains.Read moreRead less
Life or death decisions: making fast, accurate choices in a complex world. This project aims to understand how hoverflies and honey bees, with tiny brains and sensory systems, excel at making fast and accurate decisions while on the fly in a complex world. The project will combine brain recordings with flight analyses and computational modelling to generate new knowledge on how animals may utilize movements to simplify information sampling. Expected outcomes are a novel, comprehensive understand ....Life or death decisions: making fast, accurate choices in a complex world. This project aims to understand how hoverflies and honey bees, with tiny brains and sensory systems, excel at making fast and accurate decisions while on the fly in a complex world. The project will combine brain recordings with flight analyses and computational modelling to generate new knowledge on how animals may utilize movements to simplify information sampling. Expected outcomes are a novel, comprehensive understanding of how animal movements could enhance decision speed and accuracy. This should provide substantial benefits for neuroscience, and for enhancing performance of autonomous robotic systems operating in challenging environments, such as disaster relief, mining and remote exploration. Read moreRead less
Understanding the mechanisms underpinning complex sociality. This project aims to investigate the mechanisms underlying the formation of complex social systems in vertebrates. Our understanding of these mechanisms is strongly biased towards a few model systems. We have identified a novel Australian model system with a wide range of sociality for this purpose. This project expects to generate new knowledge on how the social environment interacts with the brain during social organisation. Expected ....Understanding the mechanisms underpinning complex sociality. This project aims to investigate the mechanisms underlying the formation of complex social systems in vertebrates. Our understanding of these mechanisms is strongly biased towards a few model systems. We have identified a novel Australian model system with a wide range of sociality for this purpose. This project expects to generate new knowledge on how the social environment interacts with the brain during social organisation. Expected outcomes include the refinement of social theory and capacity building via international collaboration and postgraduate training. This work will provide significant benefits by increasing our understanding of how the brain and social environment interact to moderate aggression and enhance social associations.Read moreRead less
Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this ....Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this model will test what is understood about the operation of the animal brain, and what simulates it. This project aims to reveal how neural circuits make complex decisions; establish key principles and foundational studies for comprehending larger more complex brains, and yield new approaches to machine learning.Read moreRead less
Quantifying environmental constraints on animal behaviour. This project aims to determine how habitat structure, weather and motion vision influence animal behaviour. Motion vision controls locomotion, foraging, evading predators and communicating. However, information on the conditions for motion vision in natural environments is limited. To address this, this project will combine field techniques with tools from 3D animation and computer vision. The project will focus on Australia’s dragon liz ....Quantifying environmental constraints on animal behaviour. This project aims to determine how habitat structure, weather and motion vision influence animal behaviour. Motion vision controls locomotion, foraging, evading predators and communicating. However, information on the conditions for motion vision in natural environments is limited. To address this, this project will combine field techniques with tools from 3D animation and computer vision. The project will focus on Australia’s dragon lizards, and place their motion displays in a visual-ecological context. The expected outcome is a more complete picture of the signalling context, which could advance sensory ecology, vision science and animal behaviour, with practical applications in artificial intelligence and derived benefits for education and community engagement in biology.Read moreRead less
Early stress experiences and stress resilience in pigs. Animal stress has substantial implications on animal productivity, health and welfare of farm animals and thus farm profitability. This project aims to examine the stress resilience in pigs. Modern pig farming is a major source of food, providing substantial nutritional, social and economic benefits in Australia and worldwide. Animal welfare is of increasing concern to the public, consumers and pork producers, and stress vulnerability is an ....Early stress experiences and stress resilience in pigs. Animal stress has substantial implications on animal productivity, health and welfare of farm animals and thus farm profitability. This project aims to examine the stress resilience in pigs. Modern pig farming is a major source of food, providing substantial nutritional, social and economic benefits in Australia and worldwide. Animal welfare is of increasing concern to the public, consumers and pork producers, and stress vulnerability is an animal health and production problem in the life of the commercial pig. This project will generate new knowledge on early life management to endow stress resilience in pigs, with expected benefits for animal welfare, farm productivity and profitability.Read moreRead less
Becoming expert navigators with tiny brains: Learning in desert ants. Desert ants with tiny brains learn to use their surrounding visual landscape to navigate. This project investigates in detail how they do that in a few carefully orchestrated trips around their nest called learning walks. Desert ants are known now to use magnetic cues to orient during their learning walks. The project also probes the role that magnetic cues play in the ants’ learning, as well as the sensory basis of the percep ....Becoming expert navigators with tiny brains: Learning in desert ants. Desert ants with tiny brains learn to use their surrounding visual landscape to navigate. This project investigates in detail how they do that in a few carefully orchestrated trips around their nest called learning walks. Desert ants are known now to use magnetic cues to orient during their learning walks. The project also probes the role that magnetic cues play in the ants’ learning, as well as the sensory basis of the perception of magnetic cues. Geomagnetic cues in the area of the nest will be artificially manipulated to test how ants use this cue. Probing the use of magnetic cues has potential benefits for projects of artificial autonomous navigation in situations when visual cues are unavailable, such as exploring a deep mine.
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Mapping a complete visual circuit in zebrafish. Our senses perceive the outside world and permit appropriate behaviours, but the underlying brain circuits are poorly understood. This project will use new technologies to observe all active brain cells in zebrafish during the important behaviour of visual predator avoidance and characterise the underlying circuits comprehensively. This approach's significance is in its breadth, spanning functional imaging, anatomy, computational modelling, and beh ....Mapping a complete visual circuit in zebrafish. Our senses perceive the outside world and permit appropriate behaviours, but the underlying brain circuits are poorly understood. This project will use new technologies to observe all active brain cells in zebrafish during the important behaviour of visual predator avoidance and characterise the underlying circuits comprehensively. This approach's significance is in its breadth, spanning functional imaging, anatomy, computational modelling, and behaviour, with the major outcome of producing the first complete map of a visual behaviour at the level of brain circuits and the individual brain cells composing them. Benefits will include new insights into visual processing and the refinement of new genetic, optical, and informatics approaches.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100352
Funder
Australian Research Council
Funding Amount
$388,487.00
Summary
Reconstructing evolutionary history of termite collective nest construction. This project aims to ask and answer fundamental questions about how complex animal collective behaviour has evolved in the history of life. It combines the quantification of termite building behaviour and nest structures using a state-of-the-art video tracking technique with the latest molecular phylogenetics. This project expects to provide the first comprehensive information on termite collective building in a phyloge ....Reconstructing evolutionary history of termite collective nest construction. This project aims to ask and answer fundamental questions about how complex animal collective behaviour has evolved in the history of life. It combines the quantification of termite building behaviour and nest structures using a state-of-the-art video tracking technique with the latest molecular phylogenetics. This project expects to provide the first comprehensive information on termite collective building in a phylogenetic framework, which will be a showcase study of future studies on the evolution of complex phenotypes and resolve a debate over termite social evolution. Furthermore, it provides new knowledge of Australian native termite fauna as economically destructive pest insects.Read moreRead less
Neuronal Control of Adaptive Walking. This project seeks to understand how signals from the brain control motor circuits so that an animal can adaptively walk across varying terrains in pursuit of its ever-changing goals. It will focus on the fruit fly, Drosophila, as a model. The fly is an agile walker, its nervous system has been almost fully mapped at the synaptic level, and genetic reagents are available to selectively measure or manipulate the activity of single neurons. This project specif ....Neuronal Control of Adaptive Walking. This project seeks to understand how signals from the brain control motor circuits so that an animal can adaptively walk across varying terrains in pursuit of its ever-changing goals. It will focus on the fruit fly, Drosophila, as a model. The fly is an agile walker, its nervous system has been almost fully mapped at the synaptic level, and genetic reagents are available to selectively measure or manipulate the activity of single neurons. This project specifically focuses on the circuits that generate forward and backward walking, and switch between the two. It will enhance Australia's capacity in connectome-driven neuroscience research, deliver fundamental insights into neuronal motor control, and inspire the design of more agile robots.Read moreRead less