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
Polarization vision: insights from biological systems for imaging solutions. This project aims to discover how invertebrate and vertebrate model species see linearly polarised light by constructing a novel instrument to determine limits to sensitivities, as well as animals' ability to distinguish small differences in degree and angle of linear polarisation. The project aims to predict how this might be affected as environments change. A clear understanding of biological solutions to polarisation ....Polarization vision: insights from biological systems for imaging solutions. This project aims to discover how invertebrate and vertebrate model species see linearly polarised light by constructing a novel instrument to determine limits to sensitivities, as well as animals' ability to distinguish small differences in degree and angle of linear polarisation. The project aims to predict how this might be affected as environments change. A clear understanding of biological solutions to polarisation perception can inform the design and development of novel bio-inspired imaging sensors that will be particularly suited to small, autonomous robots.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
Revisiting the ontogeny of vocal learning in birds: from neuron to fitness. This project aims to test the hypothesis that acoustic exposure prior to hatching directly affects gene expression, neural development, behaviour and consequently fitness, in wild populations of songbirds. Recent research suggests that animals are receptive to acoustic parental signals long before birth and may use such previously unrecognised signals to make adaptive developmental decisions. This project will quantify t ....Revisiting the ontogeny of vocal learning in birds: from neuron to fitness. This project aims to test the hypothesis that acoustic exposure prior to hatching directly affects gene expression, neural development, behaviour and consequently fitness, in wild populations of songbirds. Recent research suggests that animals are receptive to acoustic parental signals long before birth and may use such previously unrecognised signals to make adaptive developmental decisions. This project will quantify the effect on neural development and vocal learning in embryonic birds, employing a model songbird species. The outcomes of this study will transform our understanding of the adaptive potential of prenatal vocal learning, which will have significant benefits for human speech and language development.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
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
Evolution of intelligence in small brains: how to navigate the messy natural outdoors smartly. This project unravels how small-brained desert ants navigate expertly using simple and coarse-grade visual cues, focusing on 1) how they use skylines, where the tops of terrestrial objects meet the sky, and 2) how they search efficiently for goals. The outcomes will be invaluable for designing robots that can navigate in the messy natural outdoors.
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
Evolution of cognition and sociality in vertebrates. This project aims to understand better the selective forces shaping cognition and sociality in animals and to determine if 'social intelligence' theory, which predicts more sophisticated cognition as species become increasingly social, provides a general explanation for the evolution of intelligence.