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
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
Oscillations as a mechanism for neural communication. The project aims to answer how billions of cells in the brain can work together to allow us to perceive the world. By using novel electrophysiological and engineering techniques, the project tests if a brain signal called the local field potential provides a way for different areas in the brain to communicate. The hypothesis is that the local field potential is used by cells to synchronise their activity to be most effective. This project wou ....Oscillations as a mechanism for neural communication. The project aims to answer how billions of cells in the brain can work together to allow us to perceive the world. By using novel electrophysiological and engineering techniques, the project tests if a brain signal called the local field potential provides a way for different areas in the brain to communicate. The hypothesis is that the local field potential is used by cells to synchronise their activity to be most effective. This project would be a paradigm shift in how we currently understand how the brain works. Expected outcomes include answering long held questions about how we see and perceive the world. This should provide significant benefit to fields such as computer vision and the development of neural engineering devices.Read moreRead less
Neural origins of conscious perception in no-report paradigms. This project aims to test two highly influential theories of consciousness. The project will be the first to test critical experimental conditions, where neural activities are recorded in humans and novel measures of causality are computed, which allows us to distinguish the two theories. The intended outcomes will provide significant benefits by bringing us closer to solve the mind-body problem. These outcomes can contribute to the ....Neural origins of conscious perception in no-report paradigms. This project aims to test two highly influential theories of consciousness. The project will be the first to test critical experimental conditions, where neural activities are recorded in humans and novel measures of causality are computed, which allows us to distinguish the two theories. The intended outcomes will provide significant benefits by bringing us closer to solve the mind-body problem. These outcomes can contribute to the development of engineering and clinical devices that utilise objective measures of consciousness.Read moreRead less