The group focuses on designing and evaluating machine-learning algorithms and pipelines. The application areas include mental health and psychiatric disorders as well as basic understanding of brain structure, function and development.
More: Applied Machine Learning …
The group aims to further our understanding of how the brain contributes to human behaviour. The group investigates cognitive and affective processes and their associations with brain activity, connectivity and morphology.
More: Behavioural Neuroscience …
The aim of the group is to identify, validate and integrate novel neuroimaging and digital biomarkers that can be applied for early detection and treatment evaluation of changes in brain organization in advanced age as well as in neurological and psychiatric diseases.
More: Biomarker Development …
The group investigates the relationship between variability of structural and functional brain organization and individual differences in experience, information processing and behavior.
More: Brain Variability …
The primary focus of the Data & Platforms group is to build and share robust, open, and reproducible environments/services that are tailored to the needs of neuroimaging researchers.
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The group primarily aims to derive, validate and investigate mathematical models of neuronal networks based on empirical data.
More: Mathematical Neuroscience …
The group "Psychoinformatics" focuses on the interface of neuroscience, psychology and computer science and the combination of classical experimental methodology with machine learning methods.
More: Psychoinformatics …
