Mark Woolrich
Affiliations: | 1999-2002 | University of Oxford, Oxford, United Kingdom |
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Parents
Sign in to add mentor| Michael Brady | grad student | 1999-2002 | Oxford (E-Tree) |
| Stephen Smith | grad student | 1999-2002 | Oxford |
Children
Sign in to add trainee| SungJun Cho | grad student | ||
| Richard Krisztian Csaky | grad student | 2020- | Oxford |
| Andrew Quinn | post-doc | Oxford | |
| Diego Vidaurre | post-doc | Oxford |
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Publications
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| Tang CW, Zich C, Quinn AJ, et al. (2024) Post-stroke upper limb recovery is correlated with dynamic resting-state network connectivity. Brain Communications. 6: fcae011 |
| Gohil C, Huang R, Roberts E, et al. (2024) osl-dynamics, a toolbox for modeling fast dynamic brain activity. Elife. 12 |
| Rossi C, Vidaurre D, Costers L, et al. (2023) A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes. Communications Biology. 6: 1079 |
| Csaky R, van Es MWJ, Jones OP, et al. (2023) Interpretable many-class decoding for MEG. Neuroimage. 282: 120396 |
| Bijsterbosch JD, Farahibozorg SR, Glasser MF, et al. (2023) Evaluating functional brain organization in individuals and identifying contributions to network overlap. Biorxiv : the Preprint Server For Biology |
| Csaky R, van Es MWJ, Jones OP, et al. (2023) Group-level brain decoding with deep learning. Human Brain Mapping |
| Masaracchia L, Fredes F, Woolrich MW, et al. (2023) Dissecting unsupervised learning through hidden Markov modelling in electrophysiological data. Journal of Neurophysiology |
| Castaldo F, Páscoa Dos Santos F, Timms RC, et al. (2023) Multi-modal and multi-model interrogation of large-scale functional brain networks. Neuroimage. 277: 120236 |
| Lanskey JH, Kocagoncu E, Quinn AJ, et al. (2022) New Therapeutics in Alzheimer's Disease Longitudinal Cohort study (NTAD): study protocol. Bmj Open. 12: e055135 |
| Portoles O, Qin Y, Hadida J, et al. (2022) Modulations of local synchrony over time lead to resting-state functional connectivity in a parsimonious large-scale brain model. Plos One. 17: e0275819 |