Miss Katharina Zuhlsdorff


I am interested in the application of deep learning to neuroscientific data - specifically, I use multimodal neuroimaging and behavioural datasets to study drug addiction and impulsivity. I aim to relate behavioural endophenoypes to changes in brain structure and neural circuit development. My long term goal is to apply this work in order to study these conditions in humans.

Furthermore, I use reinforcement learning models to study rodent behaviour and identify how behaviour differs between groups, for example between high and low impulsive animals.

Research Focus


Drug addiction


Machine Learning

Computational Neuroscience

Psychiatric disorders

Clinical conditions


Attention deficit hyperactivity disorder

Depressive disorders

Obsessive compulsive disorder


Behavioural analysis

Computational modelling

Deep Learning, Reinforcement Learning

Magnetic resonance imaging (MRI)


No collaborators listed

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