‘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
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.
Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an in ....Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an increased understanding of neural mechanisms underlying sensory selectivity, the development of novel techniques, and enhanced capacity for interdisciplinary collaborations. The project will provide significant knowledge as the developed biomimetic algorithms should be applicable for increased performance in drones or other unmanned vehicles.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
Bio-inspired camouflage to prevent shark attacks on surfers. Bio-inspired camouflage to prevent shark attacks on surfers. This project aims to develop a new shark deterrent technology to protect surfers and paddlers. Shark attacks are physically and emotionally devastating for the victims, and make the community disproportionately afraid. Surfers are at most risk of attack, but current surfboard-mounted deterrents are ineffective and not widely used. This project will build on the recent discove ....Bio-inspired camouflage to prevent shark attacks on surfers. Bio-inspired camouflage to prevent shark attacks on surfers. This project aims to develop a new shark deterrent technology to protect surfers and paddlers. Shark attacks are physically and emotionally devastating for the victims, and make the community disproportionately afraid. Surfers are at most risk of attack, but current surfboard-mounted deterrents are ineffective and not widely used. This project will build on the recent discovery that white sharks do not attack counter-illuminated (light emitting) seal-shaped decoys, and use new information about shark vision to understand why this ‘camouflage’ is so successful. This will also help to protect threatened shark species by reducing reliance on culling programs to keep people safe in the water.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
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
Strategies for mid-air collision avoidance in aircraft: lessons from bird flight. Birds seldom collide with each other and other objects, despite the high speeds at which they fly in complex environments. This project will examine how birds sense and avoid impending collisions, and will use these results to design novel strategies for the detection and avoidance of aircraft mid-air collisions.
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