A role for sleep in optimising attention. All animal brains are prediction machines, which allows even tiny flies to effectively navigate complex environments. To predict what will happen next is important for guiding attention, but also for detecting anything surprising. This project aims to understand how prediction is optimized by sleep in Drosophila flies. We aim to use electrophysiology and calcium imaging to map visual prediction error signals across the fly brain, and then determine how g ....A role for sleep in optimising attention. All animal brains are prediction machines, which allows even tiny flies to effectively navigate complex environments. To predict what will happen next is important for guiding attention, but also for detecting anything surprising. This project aims to understand how prediction is optimized by sleep in Drosophila flies. We aim to use electrophysiology and calcium imaging to map visual prediction error signals across the fly brain, and then determine how genetically controlled delivery of sleep regulates the quality and distribution of these signals. This knowledge will benefit our understanding of how brains balance a capacity for prediction versus surprise, by examining how evolution has solved this difficult problem in the smallest brains.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
‘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
Discovery Early Career Researcher Award - Grant ID: DE200101468
Funder
Australian Research Council
Funding Amount
$413,614.00
Summary
Context matters: from sensory processing to decision making. Contextual modulation refers to prominent changes in the processing of information in brain and perception caused by interactions across space and time. Over the past two decades, an enormous amount of work has shown that spatial contextual effects occur throughout the sensory processing hierarchy. However, there has been little work examining how temporal context effects affect information processing and operate for high-level attribu ....Context matters: from sensory processing to decision making. Contextual modulation refers to prominent changes in the processing of information in brain and perception caused by interactions across space and time. Over the past two decades, an enormous amount of work has shown that spatial contextual effects occur throughout the sensory processing hierarchy. However, there has been little work examining how temporal context effects affect information processing and operate for high-level attributes of stimuli as well as interactions of self and environment. The project aims to fill this gap to further understand the nature and mechanisms of temporal contextual modulation on sensory information processing, perception, perceptual judgement and decision making at cellular, circuit and cognitive levels.Read moreRead less
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
Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an in ....Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an increased understanding of neural mechanisms underlying sensory selectivity, the development of novel techniques, and enhanced capacity for interdisciplinary collaborations. The project will provide significant knowledge as the developed biomimetic algorithms should be applicable for increased performance in drones or other unmanned vehicles.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
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