Brain kernel: A new spatial covariance function for fMRI data-Reference-Cited by-同舟云学术

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Brain kernel: A new spatial covariance function for fMRI data

Published:2021-12 Issue: Volume:245 Page:118580
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Wu Anqi,Nastase Samuel A.,Baldassano Christopher A.,Turk-Browne Nicholas B.,Norman Kenneth A.,Engelhardt Barbara E.,Pillow Jonathan W.

Funder

Princeton University

National Science Foundation

McKnight Foundation

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference52 articles.

1. Machine learning for neuroimaging with scikit-learn;Abraham;Front Neuroinform,2014

2. Function in the human connectome: task-fmri and individual differences in behavior;Barch;Neuroimage,2013

3. Laplacian eigenmaps for dimensionality reduction and data representation;Belkin;Neural Comput,2003

4. Regularized estimation of large covariance matrices;Bickel;The Annals of Statistics,2008

5. Mapping anterior temporal lobe language areas with fmri: a multicenter normative study;Binder;Neuroimage,2011

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1. Optimizing cognitive neuroscience experiments for separating event- related fMRI BOLD responses in non-randomized alternating designs;Frontiers in Neuroimaging;2023-04-17

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