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Research into Ageing: Categorical Decisions in the Ageing Human Brain.

We aim to develop new tools for cognitive ageing research by combining methods from mathematics, computer science, psychology, and neuroscience. In particular, we will combine advanced mathematical approaches (i.e. machine learning) for the analysis of biological data (behavioural performance, functional brain activations) with multimodal brain imaging techniques (structural MR, functional MRI, EEG) and behavioural methods. This integration of advanced measurement and analysis methods will allow us to develop new sensitive tools for studying the variability of cognitive ageing across individuals from rapid decline to sustained high levels of performance. Our methods and findings will provide new insights in understanding life-long learning and cortical plasticity and will be potentially useful for early diagnosis and intervention in normal and pathological ageing.

BRAINfest 2017

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