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
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
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.
Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for ....Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for implementation in miniature robotic systems which will allow them to navigate autonomously in complex environments even when GPS positioning is denied. Such capabilities will expand the operational domain and potential applications for small autonomous vehicles while improving our knowledge of insect locomotion.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.
Early stress experiences and stress resilience in pigs. Animal stress has substantial implications on animal productivity, health and welfare of farm animals and thus farm profitability. This project aims to examine the stress resilience in pigs. Modern pig farming is a major source of food, providing substantial nutritional, social and economic benefits in Australia and worldwide. Animal welfare is of increasing concern to the public, consumers and pork producers, and stress vulnerability is an ....Early stress experiences and stress resilience in pigs. Animal stress has substantial implications on animal productivity, health and welfare of farm animals and thus farm profitability. This project aims to examine the stress resilience in pigs. Modern pig farming is a major source of food, providing substantial nutritional, social and economic benefits in Australia and worldwide. Animal welfare is of increasing concern to the public, consumers and pork producers, and stress vulnerability is an animal health and production problem in the life of the commercial pig. This project will generate new knowledge on early life management to endow stress resilience in pigs, with expected benefits for animal welfare, farm productivity and profitability.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
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
Becoming expert navigators with tiny brains: Learning in desert ants. Desert ants with tiny brains learn to use their surrounding visual landscape to navigate. This project investigates in detail how they do that in a few carefully orchestrated trips around their nest called learning walks. Desert ants are known now to use magnetic cues to orient during their learning walks. The project also probes the role that magnetic cues play in the ants’ learning, as well as the sensory basis of the percep ....Becoming expert navigators with tiny brains: Learning in desert ants. Desert ants with tiny brains learn to use their surrounding visual landscape to navigate. This project investigates in detail how they do that in a few carefully orchestrated trips around their nest called learning walks. Desert ants are known now to use magnetic cues to orient during their learning walks. The project also probes the role that magnetic cues play in the ants’ learning, as well as the sensory basis of the perception of magnetic cues. Geomagnetic cues in the area of the nest will be artificially manipulated to test how ants use this cue. Probing the use of magnetic cues has potential benefits for projects of artificial autonomous navigation in situations when visual cues are unavailable, such as exploring a deep mine.
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