Dr Katharina Zühlsdorff

Interests

I am interested in the neural basis of reinforcement learning and cognitive flexibility in relation to depression and other psychiatric disorders. I use multimodal neuroimaging and behavioural datasets in my research and aim to translate findings from rodents to humans. I employ reinforcement learning and machine learning algorithms.

Research Focus

Keywords

Drug addiction

Neuroimaging

Machine Learning

Computational Neuroscience

Psychiatric disorders

Clinical conditions

Addiction

Attention deficit hyperactivity disorder

Depressive disorders

Obsessive compulsive disorder

Equipment

Behavioural analysis

Computational modelling

Deep Learning, Reinforcement Learning

Magnetic resonance imaging (MRI)

Collaborators

No collaborators listed

Associated News Items


    Publications

    2022

    K Zühlsdorff, JW Dalley, TW Robbins, S Morein-Zamir (2022), “Cognitive flexibility: neurobehavioural correlates of changing one's mind” Cerebral Cortex

    S Kayhanian, JP Funnell, K Zühlsdorff, I Jalloh (2022), “Modelling success after perinatal post-haemorrhagic hydrocephalus: a single-centre study” Child's Nervous System

    2021

    Jones JA, Zuhlsdorff K, Dalley JW. (2021), “Neurochemical substrates linked to impulsive and compulsive phenotypes in addiction: a preclinical perspective.” J Neurochem doi: 10.1111/jnc.15380

    Zühlsdorff K, Rabideau CM (2021), “Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans” Med-NeurIPS