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
Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical ....Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical tools adopted from deep learning. By explaining the physiological properties of higher-level neurons in terms of hierarchical networks, the project expects to address long standing questions in neuroscience, and provide insights on biological hierarchical computation.Read moreRead less
Understanding and Modelling Insect Motion Vision. The interdisciplinary project proposed will offer a stimulating environment for research/training into computational neuroscience, an attractive area for aspiring scientists. We have already demonstrated the feasibility of transferring physiology into applications, and expect this project to deliver functional motion vision models and devices. Our proposed work will have an impact beyond the advancement of neuro-physiology as knowledge gained is ....Understanding and Modelling Insect Motion Vision. The interdisciplinary project proposed will offer a stimulating environment for research/training into computational neuroscience, an attractive area for aspiring scientists. We have already demonstrated the feasibility of transferring physiology into applications, and expect this project to deliver functional motion vision models and devices. Our proposed work will have an impact beyond the advancement of neuro-physiology as knowledge gained is applicable in a range of areas, with applications in miniature unmanned vehicles and collision avoidance detectors in defence and civilian roles. Our project could also assist in the development of artificial intelligence and as a basis for designing implantable artificial eyes.Read moreRead less