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probably fair to say that an artificial neural network can perform better than a human in any environment it has complete knowledge of. These developments however impose growing demand on our computing
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Reporting to Profs Annina Schmid and David Bennett. The post holder is a member of the Neural Injury Group and the Neuromusculoskeletal Health and Science Lab with responsibility for contributing
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Neural Injury Group and the Neuromusculoskeletal Health and Science Lab with responsibility for contributing to a multi-lab MRC-funded research project aiming to develop advance humanised pain models
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contribute primarily to developing and analysing Cortically-Embedded Recurrent Neural Networks (CERNNs) that simulate large-scale neural dynamics during cognitive tasks. These models integrate species-specific
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Reporting to Profs Annina Schmid and David Bennett. The post holder is a member of the Neural Injury Group and the Neuromusculoskeletal Health and Science Lab with responsibility for contributing
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Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical