Mark Woolrich
DPhil MEng
Professor of Computational Neuroscience
- Director, OHBA
- Group Leader, Wellcome Centre for Integrative Neuroimaging (WIN)
Prof. Mark Woolrich's research focuses on the development of machine learning and artificial intelligence (AI) 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, he is 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 he collaborates with the Institute of Biomedical Engineering.
Recent publications
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Post-Task Responses following Working Memory and Movement are Driven by Transient Spectral Bursts with Similar Characteristics
Journal article
Coleman S. et al, (2024), Human Brain Mapping
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The GLM-spectrum: A multilevel framework for spectrum analysis with covariate and confound modelling
Journal article
Quinn AJ. et al, (2024), Imaging Neuroscience, 2, 1 - 26
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osl-dynamics, a toolbox for modeling fast dynamic brain activity.
Preprint
Gohil C. et al, (2024)