Can the Relational Account predict search in multiple-element displays? . This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly d ....Can the Relational Account predict search in multiple-element displays? . This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly due to a re-shaping and narrowing of the target template. These are both ground-breaking discoveries that have not been described before. Work on this project promises to lead to important theoretical breakthroughs, resolve current discrepancies in the literature and advance methods of Cognitive Psychology and Neuroscience.Read moreRead less
Understanding the role of mental imagery in cognition and behaviour. This project aims to develop objective physiological methods to measure mental imagery, uncover its brain mechanisms using neuroimaging and show how it biases cognition. It has long been suspected that mental imagery biases cognition, visual working memory and perception. However, showing this has been difficult due to a lack of measurement techniques. Here this is overcome by developing novel assay technologies and applying th ....Understanding the role of mental imagery in cognition and behaviour. This project aims to develop objective physiological methods to measure mental imagery, uncover its brain mechanisms using neuroimaging and show how it biases cognition. It has long been suspected that mental imagery biases cognition, visual working memory and perception. However, showing this has been difficult due to a lack of measurement techniques. Here this is overcome by developing novel assay technologies and applying them to the extremes of imagery, Aphantasia (no imagery) and Hyperphantasia (strong and vivid imagery). Expected outcomes include new measurement tools for generations of scientists, understanding the brain mechanisms of imagery and showing how our cognition (memory, risk, investing) is biased by mental imagery. Read moreRead less
Neurobiological mechanisms of the interaction between pain and sleep. The project aims to reveal the brain mechanisms behind the interaction between such fundamental biological phenomena as sleep and pain. This highly interdisciplinary project expects to deliver significant insights into how poor sleep changes the brain to increase pain sensitivity in healthy adults, by combining novel lab-based mechanistic sleep and pain manipulations and naturalistic longitudinal observation. The rich multimod ....Neurobiological mechanisms of the interaction between pain and sleep. The project aims to reveal the brain mechanisms behind the interaction between such fundamental biological phenomena as sleep and pain. This highly interdisciplinary project expects to deliver significant insights into how poor sleep changes the brain to increase pain sensitivity in healthy adults, by combining novel lab-based mechanistic sleep and pain manipulations and naturalistic longitudinal observation. The rich multimodal dataset generated by the project will be made publicly available to enhance research transparency and international collaboration. This should provide significant benefits, ultimately opening up ways to improve quality of life and wellbeing of the Australian population.
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Discovery Early Career Researcher Award - Grant ID: DE230100608
Funder
Australian Research Council
Funding Amount
$457,810.00
Summary
Characterising brain networks of intelligence through information tracking. For intelligent behaviour, the human brain needs to engage several processes including sensory, memory and motor processes. How it does this is one of the most significant questions in cognitive neuroscience. This project characterises the neural networks of human intelligence by advancing and building on the most recent advances in neuroimaging analyses. It will determine the interaction of different brain processes by ....Characterising brain networks of intelligence through information tracking. For intelligent behaviour, the human brain needs to engage several processes including sensory, memory and motor processes. How it does this is one of the most significant questions in cognitive neuroscience. This project characterises the neural networks of human intelligence by advancing and building on the most recent advances in neuroimaging analyses. It will determine the interaction of different brain processes by developing novel connectivity methods that track the flow of information through the brain with high temporal and spatial accuracy. The outcomes will be fundamental insights into the mechanisms of human intelligence and new connectivity analysis software that will have wide application in brain research.Read moreRead less
A statistical decision theory of cognitive capacity. This project aims to investigate the limited capacity of the human cognitive system to form representations of the things in the world around us and to make decisions about them in real time. Its goal is to provide an integrated theory of cognitive capacity based on the statistical properties of cognitive representations and the decision processes that act on them. Its expected outcome will be a unified metric for cognitive capacity that will ....A statistical decision theory of cognitive capacity. This project aims to investigate the limited capacity of the human cognitive system to form representations of the things in the world around us and to make decisions about them in real time. Its goal is to provide an integrated theory of cognitive capacity based on the statistical properties of cognitive representations and the decision processes that act on them. Its expected outcome will be a unified metric for cognitive capacity that will allow us to quantify how cognitive load affects the speed and accuracy of decision making. It will benefit the design and evaluation of high workload real-time decision systems and will contribute to the selection and training of users of such systems.
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Subcortical control of human reaching? This project will test a radical new hypothesis about how the human brain generates visually guided behaviour. Conventional thinking assumes that visuomotor control of limb movements occurs exclusively within the cerebral cortex. However, the project team’s recent observations of extremely rapid visually guided muscle activity strongly imply that the human brain controls reaching movements via more primitive midbrain and brainstem structures. The project’s ....Subcortical control of human reaching? This project will test a radical new hypothesis about how the human brain generates visually guided behaviour. Conventional thinking assumes that visuomotor control of limb movements occurs exclusively within the cerebral cortex. However, the project team’s recent observations of extremely rapid visually guided muscle activity strongly imply that the human brain controls reaching movements via more primitive midbrain and brainstem structures. The project’s hypotheses challenge long-standing ideas about the functional organisation of the human brain and may have wide-ranging implications for the design of human-machine interfaces as well as training protocols in rehabilitation, industry, and sport.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
A new perspective on how we learn motor skills: two adaptation classes? The capacity to adapt and acquire movement skills is essential for success in almost every aspect of our lives. This project will test the idea that there are two fundamentally distinct classes of motor learning processes in the brain that are driven by different error types. Using brain recordings, robotic perturbation of movement, and novel variations of classical learning paradigms, the project aims to reveal the neurocom ....A new perspective on how we learn motor skills: two adaptation classes? The capacity to adapt and acquire movement skills is essential for success in almost every aspect of our lives. This project will test the idea that there are two fundamentally distinct classes of motor learning processes in the brain that are driven by different error types. Using brain recordings, robotic perturbation of movement, and novel variations of classical learning paradigms, the project aims to reveal the neurocomputational properties of these proposed adaptation classes across a range of sensorimotor learning paradigms. The knowledge gained from this project may identify new strategies for adapting movements that are widely applicable to industry, defence, sport, and health.Read moreRead less
Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes incl ....Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes include benchmark data from a novel paradigm for studying perceptual decisions and behavior and a model which can explain and predict human scheduling. This project aims to benefit industry by allowing for the simulation of information prioritisation by human agents in complex environments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100201
Funder
Australian Research Council
Funding Amount
$460,806.00
Summary
Learning how we learn: linking inhibitory brain circuits to motor learning. Understanding the relationship between brain activity and human behaviour is a fundamental question in neuroscience. This project aims to contribute to this question by using cutting-edge brain stimulation techniques to demonstrate causal relationships between inhibitory brain circuit activity and motor learning. This project expects to generate fundamental knowledge about the relationship between the brain and behaviour ....Learning how we learn: linking inhibitory brain circuits to motor learning. Understanding the relationship between brain activity and human behaviour is a fundamental question in neuroscience. This project aims to contribute to this question by using cutting-edge brain stimulation techniques to demonstrate causal relationships between inhibitory brain circuit activity and motor learning. This project expects to generate fundamental knowledge about the relationship between the brain and behaviours. Eventually, this may contribute to the development of optimised training protocols in healthy populations such as school children, recreational and elite athletes, medical and military personnel, and ageing adults, as well as the development of brain stimulation interventions to improve motor learning.Read moreRead less