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Mark W Woolrich

Showing results (81-90 of 147) with videos related to

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Neuroimage|March 19, 2017
Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG dataGustavo Deco, Joana Cabral, Mark W Woolrich, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
The Gaussian-linear hidden Markov model: A Python packageDiego Vidaurre, Laura Masaracchia, Nick Y Larsen, et al.
Imaging Neuroscience (Cambridge, Mass.)|April 6, 2026
Canonical Hidden Markov Model Networks for studying M/EEGChetan Gohil, Rukuang Huang, Cameron Higgins, et al.
Nature Communications|March 7, 2019
Metastable brain wavesJames A Roberts, Leonardo L Gollo, Romesh G Abeysuriya, et al.
Neuroimage|August 27, 2021
Hierarchical modelling of functional brain networks in population and individuals from big fMRI dataSeyedeh-Rezvan Farahibozorg, Janine D Bijsterbosch, Weikang Gong, et al.
Elife|January 29, 2024
osl-dynamics, a toolbox for modeling fast dynamic brain activityChetan Gohil, Rukuang Huang, Evan Roberts, et al.
Neuroimage|October 27, 2019
Post-stimulus beta responses are modulated by task durationDaisie O Pakenham, Andrew J Quinn, Adam Fry, et al.
Neuroimage|December 9, 2008
Bayesian analysis of neuroimaging data in FSLMark W Woolrich, Saad Jbabdi, Brian Patenaude, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
The GLM-spectrum: A multilevel framework for spectrum analysis with covariate and confound modellingAndrew J Quinn, Lauren Z Atkinson, Chetan Gohil, et al.
Neuroimage|January 10, 2012
Task-driven ICA feature generation for accurate and interpretable prediction using fMRIEugene P Duff, Aaron J Trachtenberg, Clare E Mackay, et al.
Pageof 15

Showing results (81-90 of 147) with videos related to

Sort By:
Pageof 15
Neuroimage|March 19, 2017
Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG dataGustavo Deco, Joana Cabral, Mark W Woolrich, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
The Gaussian-linear hidden Markov model: A Python packageDiego Vidaurre, Laura Masaracchia, Nick Y Larsen, et al.
Imaging Neuroscience (Cambridge, Mass.)|April 6, 2026
Canonical Hidden Markov Model Networks for studying M/EEGChetan Gohil, Rukuang Huang, Cameron Higgins, et al.
Nature Communications|March 7, 2019
Metastable brain wavesJames A Roberts, Leonardo L Gollo, Romesh G Abeysuriya, et al.
Neuroimage|August 27, 2021
Hierarchical modelling of functional brain networks in population and individuals from big fMRI dataSeyedeh-Rezvan Farahibozorg, Janine D Bijsterbosch, Weikang Gong, et al.
Elife|January 29, 2024
osl-dynamics, a toolbox for modeling fast dynamic brain activityChetan Gohil, Rukuang Huang, Evan Roberts, et al.
Neuroimage|October 27, 2019
Post-stimulus beta responses are modulated by task durationDaisie O Pakenham, Andrew J Quinn, Adam Fry, et al.
Neuroimage|December 9, 2008
Bayesian analysis of neuroimaging data in FSLMark W Woolrich, Saad Jbabdi, Brian Patenaude, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
The GLM-spectrum: A multilevel framework for spectrum analysis with covariate and confound modellingAndrew J Quinn, Lauren Z Atkinson, Chetan Gohil, et al.
Neuroimage|January 10, 2012
Task-driven ICA feature generation for accurate and interpretable prediction using fMRIEugene P Duff, Aaron J Trachtenberg, Clare E Mackay, et al.
Pageof 15