Professor of Computational Neuroscience
- Director, OHBA
- Group Leader, Wellcome Centre for Integrative Neuroimaging (WIN)
My research focuses on the development of new machine learning methods for analysing neuroimaging data, including functional MRI and MEG/EEG data. This allows novel questions to be asked about the function and dysfunction of the human brain.
As well as being Director of OHBA, I am a Professor of Computational Neuroscience, a Group Leader in the Wellcome Centre for Integrative Neuroimaging (WIN), and a Senior Visiting Fellow with the Department of Engineering Science, where I collaborate with the Institute of Biomedical Engineering.
Interpretable many-class decoding for MEG.
Csaky R. et al, (2023), Neuroimage, 282
Group-level Brain Decoding with Deep Learning
Csaky R. et al, (2023), Human Brain Mapping
Mapping Interictal Activity in Epilepsy Using Hidden Markov Modelling: A Magnetoencephalography Study
Seedat Z. et al, (2022), Human Brain Mapping