Target detection in visual clutter. The interdisciplinary nature of the project will offer a stimulating environment for training a postdoctoral worker in the hot topic of computational neuroscience. While computationally expensive solutions to moving target detection in clutter have been implemented using conventional engineering, this project will offer insight into the efficiency of the biological brain (with benefit of millions of years of evolution towards compact, economical and optimal so ....Target detection in visual clutter. The interdisciplinary nature of the project will offer a stimulating environment for training a postdoctoral worker in the hot topic of computational neuroscience. While computationally expensive solutions to moving target detection in clutter have been implemented using conventional engineering, this project will offer insight into the efficiency of the biological brain (with benefit of millions of years of evolution towards compact, economical and optimal solutions). The results will assist development of efficient artificial intelligence. It will also assist our ongoing collaborations with defence partners to develop and apply algorithms in artificial vision systems. Read moreRead less
How feedback can impair recognition judgments and undermine border security, criminal investigations, educational testing, and medical screening. If a customs officer learns that they have missed an explosive device while screening luggage, will this affect their judgment? In many scenarios, a person receives feedback about their recognition memory performance and has to try again without having another chance to study the material. Almost no research has examined the effects of feedback on reco ....How feedback can impair recognition judgments and undermine border security, criminal investigations, educational testing, and medical screening. If a customs officer learns that they have missed an explosive device while screening luggage, will this affect their judgment? In many scenarios, a person receives feedback about their recognition memory performance and has to try again without having another chance to study the material. Almost no research has examined the effects of feedback on recognition in the absence of opportunity for further study. This is problematic because many vitally important recognition decisions lack such opportunity. Using various scenarios (face recognition, security screening, multiple-choice testing, and medical screening) this project will demonstrate that feedback affects recognition performance differently depending on the nature of the recognition decision.Read moreRead less
Optimal strategies for collaborative visual search. The ability of individual operators to search for and detect targets is a weak link in many military, medical, and industrial operations. Teams of operators, however, can perform well even when individuals do not. This project aims to investigate a promising new eye-tracking technique, gaze-linking, that helps searchers collaborate efficiently by allowing each to know where the other is looking. This research builds on mathematical models of in ....Optimal strategies for collaborative visual search. The ability of individual operators to search for and detect targets is a weak link in many military, medical, and industrial operations. Teams of operators, however, can perform well even when individuals do not. This project aims to investigate a promising new eye-tracking technique, gaze-linking, that helps searchers collaborate efficiently by allowing each to know where the other is looking. This research builds on mathematical models of information processing to identify strategies that optimise gaze-linked collaboration, and is expected to develop principles for training gaze-linked searchers. Gaze-linking offers a promising, and potentially economical, technique for improving human performance, increasing efficiency and safety in a variety of tasks.Read moreRead less
Developing a generative transformational theory of visual perception. This project will develop and test a generative, transformational computer model of visual perception, based on fractal encoding. This uses a powerful similarity metric to select transformations, that, when applied to image elements, generate a replica of the image. The model can detect and analyse structure in regular and semi-regular images, even when embedded in noise. This approach provides an explanation for several perce ....Developing a generative transformational theory of visual perception. This project will develop and test a generative, transformational computer model of visual perception, based on fractal encoding. This uses a powerful similarity metric to select transformations, that, when applied to image elements, generate a replica of the image. The model can detect and analyse structure in regular and semi-regular images, even when embedded in noise. This approach provides an explanation for several perceptual phenomena and illusions. It can reconcile opposed theories of perception and provide a unifying perspective on perception and cognition. Practical applications include the automatic recognition of objects in imagery and the detection of structure in complex data.Read moreRead less
Developing an integrative theoretical account of some basic mechanisms and limiting factors in human perception and cognition. The principal factors limiting cognitive performance are widely considered to be information processing speed, working memory capacity, and the effective control of cognitive processes. The proposed programme aims to develop and test a unifying theory relating these to two of the most basic achievements of the brain - discrimination and identification. This will help us ....Developing an integrative theoretical account of some basic mechanisms and limiting factors in human perception and cognition. The principal factors limiting cognitive performance are widely considered to be information processing speed, working memory capacity, and the effective control of cognitive processes. The proposed programme aims to develop and test a unifying theory relating these to two of the most basic achievements of the brain - discrimination and identification. This will help us to understand the underlying basis of differences and changes in cognitive performance. The outcomes have implications for the design, analysis and interpretation of studies of perception, judgement, memory and intelligence. The research also has applied relevance to neuropsychology, information handling and the design of system interfaces.Read moreRead less
Plasticity of gastrointestinal vagal afferents. The aim of this project is to identify how leptin modulates specific subtypes of vagal afferent within the gut and the plasticity of this system under different dietary conditions. This proposed project will substantially increase understanding of the interactions between leptin, known to influence food intake, and vagal afferent satiety signals. It will also increase understanding of how these interactions alter in obesity and ultimately provide t ....Plasticity of gastrointestinal vagal afferents. The aim of this project is to identify how leptin modulates specific subtypes of vagal afferent within the gut and the plasticity of this system under different dietary conditions. This proposed project will substantially increase understanding of the interactions between leptin, known to influence food intake, and vagal afferent satiety signals. It will also increase understanding of how these interactions alter in obesity and ultimately provide targets and/or concepts for the pharmacotherapy of obesity.Read moreRead less
Central pathways regulating visceral pain. This project aims to investigate the neural pathways within the spinal cord and brain processing colorectal pain perception. The project aims to identify the spinal cord neurons relaying colorectal signalling into the brain and the influence of descending modulation from the brainstem upon these pathways. The outcomes will greatly benefit fundamental understanding of the central pathways processing visceral pain.
Left of centre: Attentional distortions in the mental representation of space in healthy and clinical populations. Stroke patients cost the Australian economy $1.3bn pa in addition to their social burden, but effective diagnosis and rehabilitation is impeded by a lack of fundamental research into the cognitive and neural mechanisms that underlie attentional disorders. Our research will provide significant new insights into how the brain deploys attention in external and imagined space and will l ....Left of centre: Attentional distortions in the mental representation of space in healthy and clinical populations. Stroke patients cost the Australian economy $1.3bn pa in addition to their social burden, but effective diagnosis and rehabilitation is impeded by a lack of fundamental research into the cognitive and neural mechanisms that underlie attentional disorders. Our research will provide significant new insights into how the brain deploys attention in external and imagined space and will lead to more effective management and treatment of stroke victims. Our new test of attentional disorders is independent of a patient's inability to see or move and will enable more effective diagnosis. Our research provides the fundamental knowledge base for our discipline and is vital for developing the next generation of Australia's cognitive neuroscientists. Read moreRead less
Who should join the suspect in a police photo array? The traditional police line-up often produces inaccurate decisions, with witnesses failing to pick the culprit or picking an innocent suspect. Surprisingly, despite all the scientific advances with respect to the collection of eyewitness evidence, there is absolutely no objective basis for selecting the ‘fillers’ to accompany the suspect in the line-up. Guidelines merely suggest the fillers should not be too similar or too dissimilar to the su ....Who should join the suspect in a police photo array? The traditional police line-up often produces inaccurate decisions, with witnesses failing to pick the culprit or picking an innocent suspect. Surprisingly, despite all the scientific advances with respect to the collection of eyewitness evidence, there is absolutely no objective basis for selecting the ‘fillers’ to accompany the suspect in the line-up. Guidelines merely suggest the fillers should not be too similar or too dissimilar to the suspect. However, the fillers are likely to have a crucial influence on decision accuracy. This project aims to remedy this striking deficiency by developing and testing a flexible and universally applicable methodology for photo array composition that will optimise judgmental discriminability and curtail bias.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