CogNeuro: Difference between revisions
Computational Linguistics and Information Processing
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;Datasets: EEG/MEG/fMRI | ;Datasets: EEG/MEG/fMRI | ||
;Toolkits & Tutorials :For neuroimaging data analysis | ;Toolkits & Tutorials :For neuroimaging data analysis | ||
;Relevant | ;Relevant Background:Selected papers, podcasts, talks, course videos, books | ||
Revision as of 15:59, 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)
- Link
- Data paper
- Narratives fMRI corpus
- Link
- Data paper
- NBD fMRI corpus
- Link
- Data paper
- Alice fMRI (English)
- Link to whole brain
- Link to ROIs
- Data paper
- Alice EEG (English)
- Link
- Data paper
- Appleseed MEG
- Link
- Paper
- MASC-MEG
- Link
- Paper
- MUC MEG/fMRI
- Link
- Paper
- LPP EEG
- Paper
Toolkits
- Eelbrain for EEG/MEG
- Link
- Paper
- Nilearn for fMRI
- Link to GLM tutorial
Relevant Papers/Podcast/Videos
- Naturalistic sentence comprehension
- The revolution will not be controlled
- Neurocomputational Models of Language Processing
- Cognitive Neuroscience of Language book
- Poldrack book for fMRI analysis
- Neural Bases of Language course videos
- Nancy Kanwisher The Human Brain course
- Brain Inspired podcast with Brennan
- Brain Inspired podcast with Ev Federenko & Emily Bender
- Nancy TED talk