Discovery Early Career Researcher Award - Grant ID: DE190100136
Funder
Australian Research Council
Funding Amount
$385,288.00
Summary
The influence of naturalistic context on visual short-term memory. This project aims to understand visual short-term memory in natural visual environments using a combination of behavioural and brain data. Visual short-term memory is thought to be critical to complex cognitive tasks such as learning and problem solving, but how low-level image context and high-level semantic information influence short-term memory is poorly understood. This project will use advanced computational image processin ....The influence of naturalistic context on visual short-term memory. This project aims to understand visual short-term memory in natural visual environments using a combination of behavioural and brain data. Visual short-term memory is thought to be critical to complex cognitive tasks such as learning and problem solving, but how low-level image context and high-level semantic information influence short-term memory is poorly understood. This project will use advanced computational image processing tools, neuro-imaging, and psychophysical experiments to provide a comprehensive analysis of short-term memory in naturalistic images. The expected outcome is a better understanding of the neural bottlenecks that limit short-term memory, and a model that predicts memory constraints in natural visual environments.Read moreRead less
How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the m ....How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the motion of multiple moving objects such as crowded city footpaths and busy roads. The results will improve our understanding of failures to see moving objects in challenging viewing conditions (for example, high density traffic), and inform work in the design of autonomous driving and augmented reality display systems.Read moreRead less
Linking human brain structure to function with ultra-high resolution fMRI. This project will examine the structure and function of the sensory cortex of the human brain using ultra-high resolution functional magnetic resonance imaging (7 Tesla MRI). The project pushes new boundaries for resolution with ultra-high field MRI (7 Tesla) and, as such, will advance techniques for the acquisition, analysis, and computational modelling of high-resolution fMRI brain imaging, providing detail of the funct ....Linking human brain structure to function with ultra-high resolution fMRI. This project will examine the structure and function of the sensory cortex of the human brain using ultra-high resolution functional magnetic resonance imaging (7 Tesla MRI). The project pushes new boundaries for resolution with ultra-high field MRI (7 Tesla) and, as such, will advance techniques for the acquisition, analysis, and computational modelling of high-resolution fMRI brain imaging, providing detail of the functional organisation of the sensory cortex at a level never previously possible in the living human brain. This will provide new understanding of the neural-level networks that underpin attention and touch perception in the human brain.Read moreRead less
‘Super-human’ colour vision: how does it improve animal visual performance? Colour vision enables animals to find food, attract mates and avoid predators. Many animals, including fish, birds and insects, have ‘super-human’ colour vision systems and process colour using 4 or 5 spectral channels, instead of our 3. Yet we do not know how information is combined across these different channels to achieve colour vision. This project will develop new technology to measure UV vision in a range of anima ....‘Super-human’ colour vision: how does it improve animal visual performance? Colour vision enables animals to find food, attract mates and avoid predators. Many animals, including fish, birds and insects, have ‘super-human’ colour vision systems and process colour using 4 or 5 spectral channels, instead of our 3. Yet we do not know how information is combined across these different channels to achieve colour vision. This project will develop new technology to measure UV vision in a range of animal taxa, and show how animals with 4 or 5 spectral channels integrate or partition visual information to perceive colour. The Fellowship will provide new biological models for the development of next-generation multispectral cameras used in medical, military, security and remote sensing applications.Read moreRead less
Neural plasticity in older adult human vision. This project aims to expand our understanding of age related changes in brain function, specifically plasticity. The project will increase knowledge of the role of an inhibitory neurotransmitter GABA in visual plasticity. Expected outcomes include new knowledge regarding the regulation of brain function in adulthood, enabling future research and planning for societal benefit to older Australia.
Discovery Early Career Researcher Award - Grant ID: DE180100433
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Cortical layer specific functional imaging of the human brain. This project aims to record layer specific cortical activity in humans by leveraging ultra-high field magnetic resonance imaging. It expects to yield robust techniques for the general analysis of neuroimaging-based, layer-specific measurements. This project will progress the fields of cognitive neuroscience and neuroimaging as well as bring the field of neuroimaging closer to that of neurophysiology and thus facilitate collaboration ....Cortical layer specific functional imaging of the human brain. This project aims to record layer specific cortical activity in humans by leveraging ultra-high field magnetic resonance imaging. It expects to yield robust techniques for the general analysis of neuroimaging-based, layer-specific measurements. This project will progress the fields of cognitive neuroscience and neuroimaging as well as bring the field of neuroimaging closer to that of neurophysiology and thus facilitate collaboration among researchers.Read moreRead less
The brain in real-time: predicting the present, reconstructing the past. This proposal aims to understand how the brain compensates for its own internal delays to function in real-time. Because it takes time for information from the senses to reach the brain, it takes time for us to become aware of an event that occurs in the outside world. This project will use an innovative combination of techniques to study how prediction and reconstruction mechanisms work together in the brain. Expected outc ....The brain in real-time: predicting the present, reconstructing the past. This proposal aims to understand how the brain compensates for its own internal delays to function in real-time. Because it takes time for information from the senses to reach the brain, it takes time for us to become aware of an event that occurs in the outside world. This project will use an innovative combination of techniques to study how prediction and reconstruction mechanisms work together in the brain. Expected outcomes of this project include a fundamental understanding of how we function in the present. This should provide significant benefits, such as an important theoretical advance in our understanding of how conscious awareness is realised in the brain, placing Australia at the cutting edge.Read moreRead less
The secret of tiny hand movements to feel and manipulate objects. This study aims to reveal some of the fundamental sensory mechanisms underlying the uniquely human ability to manipulate objects and use tools. Signals from touch receptors are crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. Yet we know little about how such sensory information is obtained and how it is used for the motor control. By analysing hand moveme ....The secret of tiny hand movements to feel and manipulate objects. This study aims to reveal some of the fundamental sensory mechanisms underlying the uniquely human ability to manipulate objects and use tools. Signals from touch receptors are crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. Yet we know little about how such sensory information is obtained and how it is used for the motor control. By analysing hand movements during object manipulation and recording sensory signals from single human nerve fibres we will investigate how certain types of movement shape richness of available sensory information. This knowledge will facilitate the development of next generation sensory-controlled prosthetics and robotic manipulators.Read moreRead less
Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outco ....Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outcome is a new understanding of the brain as an effective behavioural control system. This will benefit systems and comparative neuroscience. Our findings may also inspire solutions for robotic systems that must operate autonomously in remote and challenging environments such as disaster relief or exploration.Read moreRead less