Professor of Computational Neuroscience
- Head of Analysis, OHBA
- Associate 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 Head of Analysis and Associate Director at OHBA, I am also 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.
Mapping Interictal Activity in Epilepsy Using Hidden Markov Modelling: A Magnetoencephalography Study
Seedat Z. et al, (2022), Human Brain Mapping
Data and model considerations for estimating time-varying functional connectivity in fMRI
Ahrends C. et al, (2022), NeuroImage, 252
Multi-dynamic Modelling Reveals Strongly Time-varying Resting fMRI Correlations
Pervaiz U. et al, (2022), Medical Image Analysis