Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this ....Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this model will test what is understood about the operation of the animal brain, and what simulates it. This project aims to reveal how neural circuits make complex decisions; establish key principles and foundational studies for comprehending larger more complex brains, and yield new approaches to machine learning.Read moreRead less
Neuro-ecology: information processing under natural conditions. Not enough is known about how sensory information is processed through the brain under natural environmental conditions. This project will shed light on how information processing changes with context and will help explain why even those animals with the smallest brains are much more versatile and robust than our most advanced robots.
Threshold evolution: conceptualising decisions as traits. All organisms make decisions, yet the diversity of decision rules across the spectrum of life can be understood through a few key evolutionary models. This project will test these models and then apply them to understanding topics as diverse as pest outbreaks, human twinning, sex ratio evolution and disease spread as a consequence of climate change.
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
Social insects as model systems in complexity science. Many optimisation algorithms are based on the behaviour of social insects. These algorithms function well under static conditions, when there is only one optimal solution. This project will determine how individual insect behaviour affects collective behaviour. Outcomes will allow the development of better algorithms.
Information processing at its limits: from the dimmest habitats to the smallest sizes. Ensuring optimal information processing at the limits of size and ambient light is a challenge for technical systems, but has been elegantly solved by animals. The challenge of navigation is similar for animals of all sizes and in both day and night. This project aims to conduct a comparative analysis to identify the consequence of size and light on the information processing capacities for visual navigation. ....Information processing at its limits: from the dimmest habitats to the smallest sizes. Ensuring optimal information processing at the limits of size and ambient light is a challenge for technical systems, but has been elegantly solved by animals. The challenge of navigation is similar for animals of all sizes and in both day and night. This project aims to conduct a comparative analysis to identify the consequence of size and light on the information processing capacities for visual navigation. Outcomes of this project will reveal the behavioural and physiological adaptations needed and the costs associated with navigating in the dimmest of habitats and at the smallest of sizes. Identifying such optimal biological solutions for robust navigation will be relevant for image processing, computer vision and robotics.Read moreRead less
Animal camouflage patterns. This project aims to understand whether animal camouflage patterns can produce the illusion of 3D form. By using the latest techniques in 3D computer imaging, vision science and animal behaviour, this work addresses the previously untested but fundamental theory on 3D camouflage patterns. The development of theory on the ecology and evolution of animal patterning will enhance our understanding of the processes that maintain biological diversity. This research is expec ....Animal camouflage patterns. This project aims to understand whether animal camouflage patterns can produce the illusion of 3D form. By using the latest techniques in 3D computer imaging, vision science and animal behaviour, this work addresses the previously untested but fundamental theory on 3D camouflage patterns. The development of theory on the ecology and evolution of animal patterning will enhance our understanding of the processes that maintain biological diversity. This research is expected to have broad impact across multiple disciplines and will inform novel military defence strategies and contribute to emerging bio-inspired technologies.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
Neural mechanisms of motor 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.
Predicting the movement speeds of animals. The project seeks to reveal how marsupials modify their movement patterns and speeds as they navigate risky environments, and show how movement contributes to vulnerability and resilience. Movement is central to animal behaviour and the survival of species, because it underlies feeding, mating and the ability to escape from predators. However, we lack a framework for predicting how fast animals should move through their habitats given their needs to con ....Predicting the movement speeds of animals. The project seeks to reveal how marsupials modify their movement patterns and speeds as they navigate risky environments, and show how movement contributes to vulnerability and resilience. Movement is central to animal behaviour and the survival of species, because it underlies feeding, mating and the ability to escape from predators. However, we lack a framework for predicting how fast animals should move through their habitats given their needs to conserve energy, avoid detection by predators and minimise risks of injury or death. This project aims to develop mathematical models to predict how fast animals should move and then test these predictions using native species of conservation concern. This is expected to extend the field of performance ecology as well as inform management strategies for vulnerable marsupials.Read moreRead less