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Computational Linguistics and Information Processing

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**[https://data.donders.ru.nl/collections/di/dccn/DSC_3011085.05_995?1 Link]
**[https://data.donders.ru.nl/collections/di/dccn/DSC_3011085.05_995?1 Link]
**[https://www.nature.com/articles/s41597-022-01382-7 Data paper]
**[https://www.nature.com/articles/s41597-022-01382-7 Data paper]
*Mother of unification studies (MOUS) MEG/fMRI
*Mother of unification studies (MOUS) MEG/fMRI (Dutch)
**[https://data.donders.ru.nl/collections/di/dccn/DSC_3011020.09_236?0 Link]
**[https://data.donders.ru.nl/collections/di/dccn/DSC_3011020.09_236?0 Link]
**[https://www.nature.com/articles/s41597-019-0020-y]
**[https://www.nature.com/articles/s41597-019-0020-y]
*LPP EEG
*LPP EEG (26 languages)
**Data collection underway
**Data collection underway
**[https://aclanthology.org/2020.lincr-1.6/ Data paper]
**[https://aclanthology.org/2020.lincr-1.6/ Data paper]

Revision as of 17:13, 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

  • Eelbrain for EEG/MEG
    • Link
    • Paper
  • Nilearn for fMRI
    • Link to GLM tutorial
  • SPM for fMRI
    • Link to tutorial
  • More: NITRC


Relevant Background