CogNeuro: Difference between revisions
Computational Linguistics and Information Processing
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*MASC-MEG (English) | *MASC-MEG (English) | ||
**[https://osf.io/ag3kj/ Link] | **[https://osf.io/ag3kj/ Link] | ||
**[https://arxiv.org/abs/2208.11488 | **[https://arxiv.org/abs/2208.11488 Preprint] | ||
*10 hour within-participant MEG narrative (English) | *10 hour within-participant MEG narrative (English) | ||
**[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] |
Revision as of 17:16, 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
- LPP-fMRI corpus (English, Chinese, French)
- Narratives fMRI corpus (English)
- NBD fMRI corpus (Dutch)
- Alice fMRI (English)
- Alice EEG (English)
- Appleseed MEG (English)
- MASC-MEG (English)
- 10 hour within-participant MEG narrative (English)
- Mother of unification studies (MOUS) MEG/fMRI (Dutch)
- LPP EEG (26 languages)
- Data collection underway
- Data paper
Toolkits
- Eelbrain for EEG/MEG
- Nilearn for fMRI
- SPM for fMRI
- Link to tutorial
- More: NITRC
Relevant Background
- Papers:
- Brennan, J. (2016). Naturalistic sentence comprehension in the brain. Language and Linguistics Compass, 10(7), 299-313. Link
- Hamilton, L. S., & Huth, A. G. (2020). The revolution will not be controlled: natural stimuli in speech neuroscience. Language, cognition and neuroscience, 35(5), 573-582. Link
- Hale, J. T., Campanelli, L., Li, J., Bhattasali, S., Pallier, C., & Brennan, J. R. (2022). Neurocomputational models of language processing. Annual Review of Linguistics, 8, 427-446. Link
- Podcasts
- Talks:
- Books:
- Course videos: