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Review of Professor Edmund Rolls' Book, "Brain Computations: What and How"

Professor Edmund T Rolls' book, Brain Computations: What and How, has now been reviewed in Brain, where it has been described as "the first complete attempt to summarize our current knowledge about computation in the brain". The book considers what is computed in each brain system; and how it is computed. The reviewer considers that this book may provide a grand unifying theory, with biologically plausible models of brain computations. The book review, and information about Brain Computations: What and How (Rolls 2021) Oxford University Press are available here.

Tue 10 May 2022, 09:47 | Tags: People Applied Computing

Emeritus Professor Roland Wilson – Celebration and Memorial

Colleagues, friends, family and former students of Professor Roland Wilson gathered last Friday to celebrate his life and to inaugurate a bench in his memory. The bench is located outside the Department, surrounded by daisies at this time of year, overlooking the lake and the fountains.

Roland's son and daughter toured the Department and visited one of the research groups which is building on Roland’s intellectual legacy under the leadership of his former PhD student Nasir Rajpoot (now a Professor in the Department). Dr Abhir Bhalerao, also a former student and close colleague of Roland, said a few words about Roland's contribution to our community and his lasting importance to us. Head of Department Professor Yulia Timofeeva cut a ribbon on the bench before we all returned to the common room to share memories and anecdotes.

Although an emotional occasion for many of us, it was very nice to be able to gather together again after the restrictions of the last two years and to remember Roland and his legacy.

Roland's Bench

Thu 05 May 2022, 15:38 | Tags: People Highlight Applied Computing

TIA paper on prediction of colon cancer mutations and DNA mismatch repair deficiency

A team of TIA researchers have published their study on a new deep learning algorithm that can pick up the molecular pathways and development of key mutations causing colorectal cancer more accurately than existing methods, meaning patients could benefit from targeted therapies with quicker turnaround times and at a lower cost. The research was funded by the UK Medical Research Council (MRC) and conducted in collaboration with colleagues at the UHCW NHS Trust, University of Nottingham and WHO IARC. The study has just been published in the prestigious Lancet Digital Health journal.

Thu 21 Oct 2021, 10:03 | Tags: Research Applied Computing

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