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  • Keyword: machine learning

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  • Dr Yashar Ahmadian
    Our broad interest is in understanding how large networks of neurons, e.g. those in the cerebral cortex, process sensory inputs and give rise to our perception and cognitive functions through their collective dynamics and learning on multiple tim...
  • Vasiliki Chatzi
    I am interested in applying statistical and machine learning approaches to build models that can characterise psychiatric symptoms/disorders. During my PhD I developed a novel pipeline for biomarker identification in schizophrenia using neuroimagi...
  • Dr Yuxing Fang
    My research interest includes using neuroscientific techniques such as EEG/MEG and fMRI studies in conjunction with natural language processing techniques to investigate how the human brain processes language.
  • Zoubin Ghahramani Professor Zoubin Ghahramani
    My current research interests include Bayesian approaches to machine learning, artificial intelligence, statistics, information retrieval, bioinformatics, and computational motor control. Statistics provides the mathematical foundations for handli...
  • Dr Tobias Goehring
    My focus lies on improving the perception of speech for people with hearing loss in everyday life, especially in difficult listening situations with interfering background sounds. I combine techniques from Engineering, Auditory Neuroscience and Ma...
  • Dr Hamid Karimi-Rouzbahani
    With an interest in method development for neuroimaging analysis (EEG, MEG and fMRI) using machine learning, I pursue three main questions in cognitive neuroscience: How does the human brain support visual perception? How is information transfer...
  • Dr Marwa Mahmoud
    My research interests lie in the field of social signal processing and human behaviour understanding, which includes expressions of emotions or medical conditions. My research draws on computer vision, machine learning, Human Computer Interaction ...
  • Setareh Rahimi
    I am developing and applying novel multidimensional connectivity methods for Electro-/Magneto-Encephalography (EEG/MEG) research. I apply these methods to the domain of semantic cognition to find out how semantic representation and control regions...
  • Miss Katharina Zuhlsdorff
    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 ...

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