LSI Doctoral Training Centres - Neuroinformatics and computational neuroscience

Lead Research Organisation: University of Edinburgh
Department Name: Sch of Informatics


Students in the DTC will perform multidisciplinary research at the interface between EPS and neuroscience. Specific thematic research areas to be covered include: I) Computational neuroscience: analytical and computational models to gain quantitative understanding of the computations performed by the nervous system. 2) Clinical imaging algorithms and tools: advanced data analysis, such as machine learning and Bayesian approaches to improve diagnosis based on imaging techniques such as human MRI. 3) Software systems and applications: to develop intelligent computer interfaces and software that deal better with real-life data using neuroscience insights. 4) Cognitive science: to study and analyse human cognitive processes in computational terms. 5) Neuro-robotics and VLSI: to build better hardware using findings from neuroscience, e.g. robots that work under natural conditions. These areas are supported by a large number of staff with strong research programmes and many interdisciplinary centres across the university.The impact of neuroinformatics is rapidly growing, with extensive benefits to basic science, health, and technology. There is a critical need for a centre delivering multidisciplinary training in neuroinformatics and computational neuroscience. The UK is a world leader in computer science and neuroscience research, yet there is only limited PhD training available that links these areas. A specialized doctoral training centre will allow the UK to capitalize on these strengths.


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