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
Navigating brains: the neurobiology of spatial cognition. Navigation is one of the most crucial and most challenging problems animals face. Behavioural analyses have shown that animals make use of a number of different mechanisms to navigate, but very little is known of how different forms of spatial information are processed and integrated by the brain. The project aims to tackle this by placing tethered ants in a virtual-reality simulation of their real environment allowing precise control of ....Navigating brains: the neurobiology of spatial cognition. Navigation is one of the most crucial and most challenging problems animals face. Behavioural analyses have shown that animals make use of a number of different mechanisms to navigate, but very little is known of how different forms of spatial information are processed and integrated by the brain. The project aims to tackle this by placing tethered ants in a virtual-reality simulation of their real environment allowing precise control of visual navigational cues, as well as the opportunity to study the brains of the tethered ants as they solve the real-world challenge of finding home. This may reveal how simple brains efficiently solve navigational tasks, which may inform both cognitive biology and bio-inspired computation.Read moreRead less
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
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.
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
Acquiring and Using Views for Homing. The aim of the project is to investigate how insects acquire and use scene memories for homing, a crucially important task for most animals. In bees and wasps, these memories are acquired during learning flights when leaving the nest. This fast, active learning process underpins much of the insects' navigational competence, but it remains unknown how it is controlled and how in detail memories guide returns to the nest. It is intended to use the latest camer ....Acquiring and Using Views for Homing. The aim of the project is to investigate how insects acquire and use scene memories for homing, a crucially important task for most animals. In bees and wasps, these memories are acquired during learning flights when leaving the nest. This fast, active learning process underpins much of the insects' navigational competence, but it remains unknown how it is controlled and how in detail memories guide returns to the nest. It is intended to use the latest camera-based reconstruction tools for the first time: to quantify the navigational information content of habitats including the visual information available to learning and homing insects, and to dynamically modify the insects’ natural visual environment in order to critically test hypotheses about acquisition and use of views for homing.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.
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