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those described by which offer a promising architecture for modelling population-level neural interactions. Prior work has emphasized rate-based codes due to their relative simplicity; our approach will
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planning and execution architecture for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work
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for transportation. The objects of study will include urban furniture products and other applications in the architecture and construction sectors, which can benefit from the in-situ production of large-scale
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to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly those described by which offer a promising architecture for modelling
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sciences; Architecture, building, planning and design; Arts, humanities and social sciences; Business and economics; Education; Engineering; Environment; Health; Information technology and computer
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: Current study Study area: Agricultural and veterinary sciences; Architecture, building, planning and design; Arts, humanities and social sciences; Business and economics; Education; Engineering; Environment
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(43) Computing and information systems (0) Engineering (29) Architecture and built environment (12) Agriculture and environmental studies (16) Health services and support (51) Medicine (51) Nursing (47
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: Domestic students Study stage type: Current study Study area: Agricultural and veterinary sciences; Architecture, building, planning and design; Arts, humanities and social sciences; Business and economics
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, Graduate research Student type: Domestic students Study stage type: Current study Study area: Agricultural and veterinary sciences; Architecture, building, planning and design; Arts, humanities and social
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: Undergraduate, Honours, Graduate coursework, Graduate research Student type: Domestic students Study stage type: Current study Study area: Agricultural and veterinary sciences; Architecture, building, planning