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
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
Probing cross modal interactions in the perception of object motion and self-motion. How the brain integrates information from the different senses is not yet understood. This project aims first, to uncover how the brain integrates sound and visual information when perceiving moving objects and second, to probe more complex sensory interactions between sound, vision, and our vestibular senses when perceiving self-motion. This project will expand Australia's knowledge base, strengthen collabora ....Probing cross modal interactions in the perception of object motion and self-motion. How the brain integrates information from the different senses is not yet understood. This project aims first, to uncover how the brain integrates sound and visual information when perceiving moving objects and second, to probe more complex sensory interactions between sound, vision, and our vestibular senses when perceiving self-motion. This project will expand Australia's knowledge base, strengthen collaborative ties between Australia and Japan, and provide unique training opportunities for Australian and Japanese students. Publication of research in top-ranking journals will further promote Australian science abroad. Results will lead to improvements in the design of human-machine interfaces in both industry and entertainment.Read moreRead less
‘Super-human’ colour vision: how does it improve animal visual performance? Colour vision enables animals to find food, attract mates and avoid predators. Many animals, including fish, birds and insects, have ‘super-human’ colour vision systems and process colour using 4 or 5 spectral channels, instead of our 3. Yet we do not know how information is combined across these different channels to achieve colour vision. This project will develop new technology to measure UV vision in a range of anima ....‘Super-human’ colour vision: how does it improve animal visual performance? Colour vision enables animals to find food, attract mates and avoid predators. Many animals, including fish, birds and insects, have ‘super-human’ colour vision systems and process colour using 4 or 5 spectral channels, instead of our 3. Yet we do not know how information is combined across these different channels to achieve colour vision. This project will develop new technology to measure UV vision in a range of animal taxa, and show how animals with 4 or 5 spectral channels integrate or partition visual information to perceive colour. The Fellowship will provide new biological models for the development of next-generation multispectral cameras used in medical, military, security and remote sensing applications.Read moreRead less
Mechanisms of learning at the interface between perception and action. Using the latest in brain imaging and simulator technology, this project will advance understanding of how experience shapes the visual centres of our brain. It will also support partnerships with construction, mining and health services by developing real and virtual machine interfaces and tools to enhance the outcome of simulator-based training.
Visual guidance of flight in birds. Birds flying rapidly amidst the branches of trees engage continually in a three-dimensional slalom. This project will study birds flying through tunnels and gaps, to understand how they use their eyes and wings to achieve this agility. The results could suggest better designs for unmanned aerial vehicles operating in dense urban environments.
Discovery Early Career Researcher Award - Grant ID: DE190100136
Funder
Australian Research Council
Funding Amount
$385,288.00
Summary
The influence of naturalistic context on visual short-term memory. This project aims to understand visual short-term memory in natural visual environments using a combination of behavioural and brain data. Visual short-term memory is thought to be critical to complex cognitive tasks such as learning and problem solving, but how low-level image context and high-level semantic information influence short-term memory is poorly understood. This project will use advanced computational image processin ....The influence of naturalistic context on visual short-term memory. This project aims to understand visual short-term memory in natural visual environments using a combination of behavioural and brain data. Visual short-term memory is thought to be critical to complex cognitive tasks such as learning and problem solving, but how low-level image context and high-level semantic information influence short-term memory is poorly understood. This project will use advanced computational image processing tools, neuro-imaging, and psychophysical experiments to provide a comprehensive analysis of short-term memory in naturalistic images. The expected outcome is a better understanding of the neural bottlenecks that limit short-term memory, and a model that predicts memory constraints in natural visual environments.Read moreRead less
How do bees orchestrate smooth landings? The results should pave the way for the development of novel, biologically inspired strategies for the control of landing in unmanned aerial vehicles. Endowing aircraft with the capability of autonomous flight and landing has been a major challenge in engineering technology. There is now considerable interest, nationally and world wide, in the development of small, intelligent, autonomous airborne vehicles for application in a number of areas of defense, ....How do bees orchestrate smooth landings? The results should pave the way for the development of novel, biologically inspired strategies for the control of landing in unmanned aerial vehicles. Endowing aircraft with the capability of autonomous flight and landing has been a major challenge in engineering technology. There is now considerable interest, nationally and world wide, in the development of small, intelligent, autonomous airborne vehicles for application in a number of areas of defense, surveillance and space exploration. The proposed research will help Australia maintain a leading edge in uncovering important biological principles of flight control that can be translated into useful technological applications.Read moreRead less
Linking human brain structure to function with ultra-high resolution fMRI. This project will examine the structure and function of the sensory cortex of the human brain using ultra-high resolution functional magnetic resonance imaging (7 Tesla MRI). The project pushes new boundaries for resolution with ultra-high field MRI (7 Tesla) and, as such, will advance techniques for the acquisition, analysis, and computational modelling of high-resolution fMRI brain imaging, providing detail of the funct ....Linking human brain structure to function with ultra-high resolution fMRI. This project will examine the structure and function of the sensory cortex of the human brain using ultra-high resolution functional magnetic resonance imaging (7 Tesla MRI). The project pushes new boundaries for resolution with ultra-high field MRI (7 Tesla) and, as such, will advance techniques for the acquisition, analysis, and computational modelling of high-resolution fMRI brain imaging, providing detail of the functional organisation of the sensory cortex at a level never previously possible in the living human brain. This will provide new understanding of the neural-level networks that underpin attention and touch perception in the human brain.Read moreRead less
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