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Martin A Lindquist

Showing results (31-40 of 149) with videos related to

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Neuroimage|January 1, 2021
Evaluating phase synchronization methods in fMRI: A comparison study and new approachesHamed Honari, Ann S Choe, Martin A Lindquist
Computational Statistics & Data Analysis|September 1, 2020
Sparse Principal Component based High-Dimensional Mediation AnalysisYi Zhao, Martin A Lindquist, Brian S Caffo
Neuroimage|March 16, 2007
Modeling state-related fMRI activity using change-point theoryMartin A Lindquist, Christian Waugh, Tor D Wager
Frontiers in Computational Neuroscience|November 8, 2013
Detecting functional connectivity change points for single-subject fMRI dataIvor Cribben, Tor D Wager, Martin A Lindquist
Biorxiv : the Preprint Server for Biology|February 23, 2026
Cortical maps diverge, representations converge along cortical hierarchyBogdan Petre, Martin A Lindquist, Tor D Wager
Brain Stimulation|April 20, 2017
Response variability of different anodal transcranial direct current stimulation intensities across multiple sessionsClaudia Ammann, Martin A Lindquist, Pablo A Celnik
Biostatistics (Oxford, England)|October 22, 2019
A functional mixed model for scalar on function regression with application to a functional MRI studyWanying Ma, Luo Xiao, Bowen Liu, et al.
Neuroimage|September 8, 2009
Change point estimation in multi-subject fMRI studiesLucy F Robinson, Tor D Wager, Martin A Lindquist
Journal of Multivariate Analysis|March 24, 2025
Graph-constrained Analysis for Multivariate Functional DataDebangan Dey, Sudipto Banerjee, Martin A Lindquist, et al.
Neuroimage|December 31, 2022
A machine learning based approach towards high-dimensional mediation analysisTanmay Nath, Brian Caffo, Tor Wager, et al.
Pageof 15

Showing results (31-40 of 149) with videos related to

Sort By:
Pageof 15
Neuroimage|January 1, 2021
Evaluating phase synchronization methods in fMRI: A comparison study and new approachesHamed Honari, Ann S Choe, Martin A Lindquist
Computational Statistics & Data Analysis|September 1, 2020
Sparse Principal Component based High-Dimensional Mediation AnalysisYi Zhao, Martin A Lindquist, Brian S Caffo
Neuroimage|March 16, 2007
Modeling state-related fMRI activity using change-point theoryMartin A Lindquist, Christian Waugh, Tor D Wager
Frontiers in Computational Neuroscience|November 8, 2013
Detecting functional connectivity change points for single-subject fMRI dataIvor Cribben, Tor D Wager, Martin A Lindquist
Biorxiv : the Preprint Server for Biology|February 23, 2026
Cortical maps diverge, representations converge along cortical hierarchyBogdan Petre, Martin A Lindquist, Tor D Wager
Brain Stimulation|April 20, 2017
Response variability of different anodal transcranial direct current stimulation intensities across multiple sessionsClaudia Ammann, Martin A Lindquist, Pablo A Celnik
Biostatistics (Oxford, England)|October 22, 2019
A functional mixed model for scalar on function regression with application to a functional MRI studyWanying Ma, Luo Xiao, Bowen Liu, et al.
Neuroimage|September 8, 2009
Change point estimation in multi-subject fMRI studiesLucy F Robinson, Tor D Wager, Martin A Lindquist
Journal of Multivariate Analysis|March 24, 2025
Graph-constrained Analysis for Multivariate Functional DataDebangan Dey, Sudipto Banerjee, Martin A Lindquist, et al.
Neuroimage|December 31, 2022
A machine learning based approach towards high-dimensional mediation analysisTanmay Nath, Brian Caffo, Tor Wager, et al.
Pageof 15