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Computational Linguistics and Information Processing

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**[https://www.biorxiv.org/content/10.1101/2021.08.01.454687v1 Paper]
**[https://www.biorxiv.org/content/10.1101/2021.08.01.454687v1 Paper]
**Tutorial TBD
**Tutorial TBD
*SPM for fMRI
**[https://andysbrainbook.readthedocs.io/en/latest/SPM/SPM_Overview.html SPM Analysis]; read Poldrack first!
**[https://andysbrainbook.readthedocs.io/en/latest/PM/PM_Overview.html SPM Parametric Modulation]
**[https://andysbrainbook.readthedocs.io/en/latest/Stats/Stats_Overview.html Stats for fMRI]
*Nilearn for fMRI
*Nilearn for fMRI
**[https://nilearn.github.io/stable/glm/index.html#glm GLM analysis]  
**[https://nilearn.github.io/stable/glm/index.html#glm GLM analysis]  
**[https://nilearn.github.io/stable/auto_examples/00_tutorials/plot_decoding_tutorial.html Decoding]
**[https://nilearn.github.io/stable/auto_examples/00_tutorials/plot_decoding_tutorial.html Decoding]
*SPM for fMRI
 
**Link to tutorial
*More: [https://www.nitrc.org/top/toplist.php?type=downloads NITRC]
*More: [https://www.nitrc.org/top/toplist.php?type=downloads NITRC]



Revision as of 17:27, 25 August 2022

This is a repository that is updated periodically with resources to analyze continuous, naturalistic neuroimaging data with computational tools. It is split into three sections:

Datasets
EEG/MEG/fMRI
Toolkits & Tutorials
For neuroimaging data analysis
Relevant Background
Selected papers, podcasts, talks, course videos, books


Datasets

Toolkits


Relevant Background