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
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
Building a visual world: how brain circuits create and use representations. This project aims to demonstrate the presence, computation, and use of an invariant representation for texture structure. The proposed approach is interdisciplinary and combines image analysis, electrophysiology, optogenetics and computational modelling.
Expected outcomes of this project include learning how neurons encode properties of natural images, defining a novel computational tool for analysis of textures, and ne ....Building a visual world: how brain circuits create and use representations. This project aims to demonstrate the presence, computation, and use of an invariant representation for texture structure. The proposed approach is interdisciplinary and combines image analysis, electrophysiology, optogenetics and computational modelling.
Expected outcomes of this project include learning how neurons encode properties of natural images, defining a novel computational tool for analysis of textures, and new knowledge of how multiple brain areas work together to represent the visual world. This should provide significant benefits for the development of artificial visual systems, and impact on brain research broadly by increasing the number of tools available to predict complex representations at the cellular level.Read moreRead less
Understanding how the primate brain processes visual information. Being able to see is a crucial aspect of our daily lives, which happens so effortlessly that it tends to be taken for granted. In comparison with other animals and artificial systems, the primate visual cortex is unsurpassed in its capacity to interpret complex and dynamic environments, in a manner that is fast and computationally robust. Discovering how this happens in terms of interactions between cells in the brain can help us ....Understanding how the primate brain processes visual information. Being able to see is a crucial aspect of our daily lives, which happens so effortlessly that it tends to be taken for granted. In comparison with other animals and artificial systems, the primate visual cortex is unsurpassed in its capacity to interpret complex and dynamic environments, in a manner that is fast and computationally robust. Discovering how this happens in terms of interactions between cells in the brain can help us design more efficient artificial systems capable of vision. This in turn can have profound implications for the creation of new technologies such as artificial eyes, autonomous robots, and intelligent sensors, and may also result in future benefits for medical science.Read moreRead less