Using shape change for object perception: human and artificial vision. This project aims to examine the steps taken by the visual system to code the shape of objects, including those that change shape over time. The project seeks to employ experiments assessing human vision and machine learning techniques to examine these codes and, in particular, focus on the advantages of a system that exaggerates shape change over time. Expected outcomes include an improved shape code based on superior human ....Using shape change for object perception: human and artificial vision. This project aims to examine the steps taken by the visual system to code the shape of objects, including those that change shape over time. The project seeks to employ experiments assessing human vision and machine learning techniques to examine these codes and, in particular, focus on the advantages of a system that exaggerates shape change over time. Expected outcomes include an improved shape code based on superior human performance that can have many applications in automated visual systems. This project can directly benefit the animation industries where the creation of realistic movement of humans and animals remains a computationally intensive challenge.Read moreRead less
Melanopsin function in humans. This project aims to understand melanopsin signalling in humans. A newly discovered retinal ganglion cell class expresses the melanopsin photopigment. Melanopsin signalling controls neural functions for light dependent image formation and non-image forming processes. Many of these are unknown in humans. This project will use a 5-primary photostimulator to define how melanopsin controls these processes in humans. The outcomes are expected to advance understanding of ....Melanopsin function in humans. This project aims to understand melanopsin signalling in humans. A newly discovered retinal ganglion cell class expresses the melanopsin photopigment. Melanopsin signalling controls neural functions for light dependent image formation and non-image forming processes. Many of these are unknown in humans. This project will use a 5-primary photostimulator to define how melanopsin controls these processes in humans. The outcomes are expected to advance understanding of human vision. This could provide avenues for using light to increase active participation in society and improve health and well-being, and strategies to assess human vision and the body’s internal clock.Read moreRead less
Vision and lighting in the age of melanopsin. This project aims to develop innovative new technologies, which will advance understanding of the effects of light on human behavior mediated via the recently discovered melanopsin photopigment in the eye. The project expects to create a cutting-edge visual display technology, which will deliver the foundation knowledge of melanopsin shapes visual perception. The project will redefine current knowledge of human vision and provide a practical lighting ....Vision and lighting in the age of melanopsin. This project aims to develop innovative new technologies, which will advance understanding of the effects of light on human behavior mediated via the recently discovered melanopsin photopigment in the eye. The project expects to create a cutting-edge visual display technology, which will deliver the foundation knowledge of melanopsin shapes visual perception. The project will redefine current knowledge of human vision and provide a practical lighting solution to suit the biological needs of humans, especially in relation to the human body’s internal (circadian) clock. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100790
Funder
Australian Research Council
Funding Amount
$419,308.00
Summary
Understanding how the brain combines sensory information. The ease with which we perceive the external world belies the complexity involved in integrating different sensory inputs. How does the brain achieve this fundamental operation? The project will address this question using a multidisciplinary approach that combines computational modelling, brain imaging, and psychophysical techniques. The expected outcomes of the project are a better understanding of how people perceive the world through ....Understanding how the brain combines sensory information. The ease with which we perceive the external world belies the complexity involved in integrating different sensory inputs. How does the brain achieve this fundamental operation? The project will address this question using a multidisciplinary approach that combines computational modelling, brain imaging, and psychophysical techniques. The expected outcomes of the project are a better understanding of how people perceive the world through optimal integration of sensory cues. In addition to advancing basic scientific knowledge, the findings will illuminate perceptual anomalies in normally developing children and will provide a foundation for reducing a debilitating side effect of virtual reality systems known as ‘cybersickness’.Read moreRead less
The rules governing combined rod and cone photoreceptor signalling in visual pathways. The research program investigates vision at dim (mesopic) light levels where rod and cone photoreceptors simultaneously transmit visual information. The interaction between rod and cone signals is not trivial because their different amplitudes, timings and delays significantly change the perceptual qualities of our visual experience. The research addresses fundamental questions about how the retina and brain i ....The rules governing combined rod and cone photoreceptor signalling in visual pathways. The research program investigates vision at dim (mesopic) light levels where rod and cone photoreceptors simultaneously transmit visual information. The interaction between rod and cone signals is not trivial because their different amplitudes, timings and delays significantly change the perceptual qualities of our visual experience. The research addresses fundamental questions about how the retina and brain integrate disparate signals from the rods and cones to produce a homogenous visual percept. New psychophysical and electroretinographic paradigms will independently control the retinal photoreceptors to resolve the long standing problem of how noise modifies signalling and information flow between the retina and visual cortex.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
Pathways to social cohesion and social change: opinion-based groups and the dynamic formation of identities. This project will update the understanding of political conflict by exploring groups based around shared opinions. It will show that groups are likely to be more successful in their political campaigns when they tie their causes to national and other positive identifies.
Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual bra ....Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual brain representations. It is anticipated that the results will significantly advance the field of cognitive neuroscience by providing a novel empirical framework for understanding how brain representations are predictive of behaviour.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