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.
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.
Human-animal relationships in zoos: Optimising animal and visitor experiences. Extensive research on human-animal relationships in agricultural and domestic settings shows that human-animal interaction affects animal behaviour and welfare, which in turn affect human attitudes to animals. As conservation and welfare organisations, zoos aim to provide visitors with opportunities to closely interact with animals to improve visitor experience and conservation outcomes, whilst maintaining good animal ....Human-animal relationships in zoos: Optimising animal and visitor experiences. Extensive research on human-animal relationships in agricultural and domestic settings shows that human-animal interaction affects animal behaviour and welfare, which in turn affect human attitudes to animals. As conservation and welfare organisations, zoos aim to provide visitors with opportunities to closely interact with animals to improve visitor experience and conservation outcomes, whilst maintaining good animal welfare. Some visitor interactions may be stressful for some animals creating conflict between animal welfare and visitor experience. By determining visitor effects, this project aims to provide zoos with practical animal management and educational strategies to optimise both animal welfare and visitor experience.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.
Evolution of the mammalian baculum. This project aims to test the hypothesis that the shape of the mammalian baculum (penis bone) evolved via its stimulatory effects on females that promote reproduction. The baculum is the most morphologically divergent bone in the mammalian body. The reason for this divergence is one of the most puzzling enigmas of mammalian morphology. This project will use comparative evolutionary methods, quantitative genetics, morphometrics, behavioural analysis and techniq ....Evolution of the mammalian baculum. This project aims to test the hypothesis that the shape of the mammalian baculum (penis bone) evolved via its stimulatory effects on females that promote reproduction. The baculum is the most morphologically divergent bone in the mammalian body. The reason for this divergence is one of the most puzzling enigmas of mammalian morphology. This project will use comparative evolutionary methods, quantitative genetics, morphometrics, behavioural analysis and techniques from neurobiology and physiology to test this hypothesis. This project aims to address fundamental questions in reproductive biology.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
Discovery Early Career Researcher Award - Grant ID: DE190101513
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Ant-inspired rules for self-assembly in swarm robotics and complex systems. This project aims to investigate how ants use self-assembly to build bridges and chains, joining their bodies using simple rules at the individual-level to build complex structures at the group-level. The long-standing conceptual gap between these two organisational levels will be addressed using innovative animal behaviour experiments, computer modelling and embodied testing of theory in a robot swarm. The expected outc ....Ant-inspired rules for self-assembly in swarm robotics and complex systems. This project aims to investigate how ants use self-assembly to build bridges and chains, joining their bodies using simple rules at the individual-level to build complex structures at the group-level. The long-standing conceptual gap between these two organisational levels will be addressed using innovative animal behaviour experiments, computer modelling and embodied testing of theory in a robot swarm. The expected outcomes of the project include new models for understanding self-assembly in complex systems and new control algorithms for robot swarms. The project should provide significant benefits such as programming to allow robot swarms to autonomously self-assemble useful structures that enhance their operational capabilities.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120100019
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Miniaturisation: sensory limitations and navigational competence. Body size in most animals correlates with behavioural competence, brain capacity and sensory receptors. But since the navigational challenges faced by animals both big and small are similar, this project aims to identify the sensory and behavioural costs of miniaturisation and the strategies animals have evolved to cope with it.
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.