Target detection in three-dimensional optic flow. This project aims to understand the behavioural, neural, and computational mechanisms underlying the visualisation of moving targets. Insects have poorer eyesight and smaller brains than humans, but can chase small targets at high speed. This project will use intracellular electrophysiology, information content analysis and model development to decipher the underlying neural tuning mechanisms of hoverflies, which could suggest advanced computatio ....Target detection in three-dimensional optic flow. This project aims to understand the behavioural, neural, and computational mechanisms underlying the visualisation of moving targets. Insects have poorer eyesight and smaller brains than humans, but can chase small targets at high speed. This project will use intracellular electrophysiology, information content analysis and model development to decipher the underlying neural tuning mechanisms of hoverflies, which could suggest advanced computational optimisation and miniaturisation. The project may generate algorithms for rapid and reliable information extraction from large, noisy inputs, useful for developing unmanned vehicles and in Big Data analysis. The results could be useful in developing anti-collision control systems in vehicles using less computational power.Read moreRead less
How the brain generates robust behaviour in noisy sensory environments. This project aims to investigate the origins of variability in the control of movements. This project expects to generate new knowledge in the area of sensory and motor neuroscience by determining how variability in the activity of sensory and motor neurons accounts for variability in the initiation and control of eye movements. Expected outcomes of this project include international collaboration, development of new methods ....How the brain generates robust behaviour in noisy sensory environments. This project aims to investigate the origins of variability in the control of movements. This project expects to generate new knowledge in the area of sensory and motor neuroscience by determining how variability in the activity of sensory and motor neurons accounts for variability in the initiation and control of eye movements. Expected outcomes of this project include international collaboration, development of new methods for imaging neural activity in vivo, and refinement of theories concerning the cause and implications of noise in the brain. This should provide significant benefits such as a better understanding of why our movements are variable, and whether it is desirable or possible to minimise this variability. Read moreRead less
Colour visual processing by honeybees: solutions for decision making in complex environments. Honeybees are a cost and time efficient animal model for testing how information is processed in a miniature brain containing less than 0.01% of the number of cells found in a human brain. Bees use their ultraviolet, blue and green colour vision to efficiently find flowers in complex environments. This project investigates how colour information is processed by bees, and develops computer models to eval ....Colour visual processing by honeybees: solutions for decision making in complex environments. Honeybees are a cost and time efficient animal model for testing how information is processed in a miniature brain containing less than 0.01% of the number of cells found in a human brain. Bees use their ultraviolet, blue and green colour vision to efficiently find flowers in complex environments. This project investigates how colour information is processed by bees, and develops computer models to evaluate how novel solutions might be applicable for robotic vision. The model also allows for testing of how environmental factors, like changes in climate, might affect the way in which bees choose to visit certain flower types, including plants that have important environmental and economic impacts.Read moreRead less
Organization and Plasticity of Visual Processing in a Miniature Brain. To recognise objects a brain must have an internal representation of most likely object appearance. Two ways in which brains may posses this information include a hard wired template system, and/or the neuroplasticity to learn novel objects. Recent investigations on honeybee vision show that this animal can learn to recognise very difficult objects, although currently we do not know how the miniaturised bee brain manages thes ....Organization and Plasticity of Visual Processing in a Miniature Brain. To recognise objects a brain must have an internal representation of most likely object appearance. Two ways in which brains may posses this information include a hard wired template system, and/or the neuroplasticity to learn novel objects. Recent investigations on honeybee vision show that this animal can learn to recognise very difficult objects, although currently we do not know how the miniaturised bee brain manages these tasks. This project will reveal changes that occur in the processing of visual objects by the bee's brain with increasing experience, with potential applications including robotics or building interfaces between sensors and biological systems.Read moreRead less
Bio-inspired Sniffer chips. This project will combine recent advances in neuroscience of olfaction, together with novel microelectronic fabrication technologies, to develop a miniature electronic nose microsystem with superior selectivity, stability, sensitivity and response time. Applications include national security, environment monitoring or medical diagnosis.
Discovery Early Career Researcher Award - Grant ID: DE180100344
Funder
Australian Research Council
Funding Amount
$383,551.00
Summary
Neural integration of feedforward and feedback circuits for decision-making. The aim of this project is to discover how cells in the brain combine different types of information to allow decisions to be made. This project will focus on the part of the brain that integrates multiple sources of information to guide choices to accomplish behavioural goals. Using novel electrophysiological and engineering techniques, this project intends to measure the influence of sensory and cognitive information ....Neural integration of feedforward and feedback circuits for decision-making. The aim of this project is to discover how cells in the brain combine different types of information to allow decisions to be made. This project will focus on the part of the brain that integrates multiple sources of information to guide choices to accomplish behavioural goals. Using novel electrophysiological and engineering techniques, this project intends to measure the influence of sensory and cognitive information relayed by other brain areas, and to determine how this correlates with behaviour. The intended outcome of this project is a new understanding of how information is processed in brain cells. This should benefit the development of neural engineering devices.Read moreRead less
Deep Downunder: designing a deep-sea exploration and discovery capability for Australia. Exploration of the deep-sea with the modern technologies to be developed by Deep-Downunder is a first for Australia. We aim to explore and discover life at depths from 50-3000m off The Great Barrier Reef, around the seamounts of Lord Howe Island and Tasmania and in the deep canyons of WA and SA. We expect to discover new species, hope for a glimpse of giant squid at home and will answer specific questions on ....Deep Downunder: designing a deep-sea exploration and discovery capability for Australia. Exploration of the deep-sea with the modern technologies to be developed by Deep-Downunder is a first for Australia. We aim to explore and discover life at depths from 50-3000m off The Great Barrier Reef, around the seamounts of Lord Howe Island and Tasmania and in the deep canyons of WA and SA. We expect to discover new species, hope for a glimpse of giant squid at home and will answer specific questions on Australia's ocean biology, fisheries and biotechnology never before approachable. To be effective guardians of Australian waters we must learn what lies in the depths we can't see from a boat.Read moreRead less
Vision and remote sensing: using nature's technology to examine the health of The Great Barrier Reef and Moreton Bay. We aim to use what is known and what we will discover about animals visual systems to examine environmental health on The Great Barrier Reef and Moreton Bay. Technology and knowledge from 8 university departments, 4 industry partners, and 7 international collaborators will be combined to both learn and provide information. The innovative aspect of our approach is to examine the w ....Vision and remote sensing: using nature's technology to examine the health of The Great Barrier Reef and Moreton Bay. We aim to use what is known and what we will discover about animals visual systems to examine environmental health on The Great Barrier Reef and Moreton Bay. Technology and knowledge from 8 university departments, 4 industry partners, and 7 international collaborators will be combined to both learn and provide information. The innovative aspect of our approach is to examine the world with the eyes of birds, fish and invertebrates. Tricks animals employ to solve visual tasks will be implemented at scales of instrumentation from hand-held to remote sensing and used to address problems such as coral reef bleaching.Read moreRead less
The neuronal bases of consciousness and attention. Why and how do some electrical activities in the brain make us see, hear and feel pain? Why other neural activities remain non-conscious? This project will utilise visual illusions combined with a range of state-of-the-art neuroimaging techniques to understand what kind of neuronal mechanisms underlie attention and consciousness.
Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical ....Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical tools adopted from deep learning. By explaining the physiological properties of higher-level neurons in terms of hierarchical networks, the project expects to address long standing questions in neuroscience, and provide insights on biological hierarchical computation.Read moreRead less