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.
Microstates and power envelope hidden Markov modeling probe bursting brain activity at different timescales
Coquelet N. et al, (2022), NeuroImage, 247, 118850 - 118850
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data.
Farahibozorg S-R. et al, (2021), Neuroimage
Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics.
Quinn AJ. et al, (2021), J Neurophysiol