Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control ....Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control pursuit. The resulting algorithms will be incorporated into unmanned aerial vehicles for detecting, monitoring and tracking other objects in the sky, and their performance will be evaluated. The results will provide a better understanding of the biological basis of pursuit behaviour, as well as lead to novel technologies for aerial surveillance and safety.Read moreRead less
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
Neural mechanisms of vestibular perception in zebrafish. This project aims to understand vestibular processing by removing physical movement. The vestibular system allows us to perceive gravity and movement, but it is not understood how the brain processes information from vestibular sensors in the inner ear. This project will exert forces on the zebrafish’s inner ear with a laser, stimulating the vestibular sense. This means that the animal will experience vestibular stimuli while stationary, a ....Neural mechanisms of vestibular perception in zebrafish. This project aims to understand vestibular processing by removing physical movement. The vestibular system allows us to perceive gravity and movement, but it is not understood how the brain processes information from vestibular sensors in the inner ear. This project will exert forces on the zebrafish’s inner ear with a laser, stimulating the vestibular sense. This means that the animal will experience vestibular stimuli while stationary, allowing calcium imaging of neurons that respond to vestibular cues and optogenetics to stimulate or silence these neurons. This is expected to reveal which cells and circuits mediate vestibular perception, processing and behaviour.Read moreRead less
Using performance to predict the survival of threatened mammals. This project aims to use a new mechanistic approach to quantify how the performance of cats and dingoes interacts with habitat complexity to drive population loss of prey species—namely, how the density of obstacles and refuges contributes to prey escape. Expected outcomes include discovering how rocky and savanna habitat structure affect the survival of threatened mammals hunted by cats and dingoes. It will provide a globally cust ....Using performance to predict the survival of threatened mammals. This project aims to use a new mechanistic approach to quantify how the performance of cats and dingoes interacts with habitat complexity to drive population loss of prey species—namely, how the density of obstacles and refuges contributes to prey escape. Expected outcomes include discovering how rocky and savanna habitat structure affect the survival of threatened mammals hunted by cats and dingoes. It will provide a globally customisable model, and inform management of an important Indigenous Protected Area.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
Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for ....Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for implementation in miniature robotic systems which will allow them to navigate autonomously in complex environments even when GPS positioning is denied. Such capabilities will expand the operational domain and potential applications for small autonomous vehicles while improving our knowledge of insect locomotion.Read moreRead less
Cerebellar control of classical conditioning. This project proposes to use zebrafish, in combination with optogenetics, to identify and test patterns of neural activity that are responsible for classical conditioning. It will do this by describing the connections between the cerebellum and other brain regions, and by observing patterns of neural activity as learning takes place. Next, the project will block or recreate these patterns of activity to see whether they are necessary or sufficient fo ....Cerebellar control of classical conditioning. This project proposes to use zebrafish, in combination with optogenetics, to identify and test patterns of neural activity that are responsible for classical conditioning. It will do this by describing the connections between the cerebellum and other brain regions, and by observing patterns of neural activity as learning takes place. Next, the project will block or recreate these patterns of activity to see whether they are necessary or sufficient for learning. The goal is to describe, in concrete terms, how patterns of neural activity in this part of the brain result in learning. In so doing, the project also aims to develop and test new technologies and approaches for studying the functioning brain.Read moreRead less
Cerebellar control of motor coordination and learning. The cerebellum is the part of the brain responsible for smooth body movements, but many details of how it works are still unclear. This project is aimed at learning how the cerebellum communicates with the rest of the brain, and what parts of this communication are necessary for coordinated movement.
Closing the loop between salience and brain activity. This project aims to understand how animals exposed to an abundance of highly complex information decide what to attend to, that is, how they determine visual saliency. The project will approach this question by systematically tracking visual decision-making in the smallest animal brains, in closed-loop virtual reality environment. This approach will uncover basic working principles applicable to any system that needs to pay attention in a vi ....Closing the loop between salience and brain activity. This project aims to understand how animals exposed to an abundance of highly complex information decide what to attend to, that is, how they determine visual saliency. The project will approach this question by systematically tracking visual decision-making in the smallest animal brains, in closed-loop virtual reality environment. This approach will uncover basic working principles applicable to any system that needs to pay attention in a visually cluttered world, from insects to humans or autonomous vehicles.Read moreRead less
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