The neural dynamics of real-time processing in the brain. The aim of this project is to investigate a new model for predictive coding of sensory processing in the brain in which the brain compensates for the time delays in neural transmission by maintaining a real-time temporal alignment of the neural activity. This results in a representation of sensory information that is aligned in time across the cortex, offering a new fundamental principle for how the brain functions in a highly dynamic wor ....The neural dynamics of real-time processing in the brain. The aim of this project is to investigate a new model for predictive coding of sensory processing in the brain in which the brain compensates for the time delays in neural transmission by maintaining a real-time temporal alignment of the neural activity. This results in a representation of sensory information that is aligned in time across the cortex, offering a new fundamental principle for how the brain functions in a highly dynamic world whose outcomes would provide a deeper understanding of brain function. It could also have profound significance for artificial intelligence and brain-inspired technologies, as well as benefit neural sensory prostheses and brain-machine interfaces.Read moreRead less
Building a visual world: how brain circuits create and use representations. This project aims to demonstrate the presence, computation, and use of an invariant representation for texture structure. The proposed approach is interdisciplinary and combines image analysis, electrophysiology, optogenetics and computational modelling.
Expected outcomes of this project include learning how neurons encode properties of natural images, defining a novel computational tool for analysis of textures, and ne ....Building a visual world: how brain circuits create and use representations. This project aims to demonstrate the presence, computation, and use of an invariant representation for texture structure. The proposed approach is interdisciplinary and combines image analysis, electrophysiology, optogenetics and computational modelling.
Expected outcomes of this project include learning how neurons encode properties of natural images, defining a novel computational tool for analysis of textures, and new knowledge of how multiple brain areas work together to represent the visual world. This should provide significant benefits for the development of artificial visual systems, and impact on brain research broadly by increasing the number of tools available to predict complex representations at the cellular level.Read moreRead less