CogNeuro

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

Naturalistic fMRI/EEG/MEG

Toolkits & Tutorials

For neuroimaging data analysis

Relevant Background

Selected papers, podcasts, talks, course videos, books

Datasets

• LPP-fMRI corpus (English, Chinese, French)
  • Link
  • Preprint; Scientific Data paper in press
• Narratives fMRI corpus (English)
  • Link
  • Data paper
• NBD fMRI corpus (Dutch)
  • Link
  • Data paper
• Alice fMRI (English)
  • Link to whole brain data
  • Link to ROIs
  • Data paper
• Alice EEG (English)
  • Link
  • Data paper
• Appleseed MEG (English)
  • Link
  • Paper
• MASC-MEG (English)
  • Link
  • Preprint
• 10 hour within-participant MEG narrative (English)
  • Link
  • Data paper
• Mother of unification studies (MOUS) MEG/fMRI (Dutch)
  • Link
  • Data paper
• LPP EEG (26 languages)
  • Data collection underway
  • Data paper

Toolkits

• Eelbrain for EEG/MEG analysis (Python)
  • Link
  • Paper
  • Tutorial TBD
• SPM for fMRI analysis (Matlab)
  • SPM Analysis; read Poldrack first!
  • SPM Parametric Modulation
  • Stats for fMRI
• fMRI image viewer (for figures)
  • FSLeyes
  • Mango
• Nilearn for fMRI (Python)
  • GLM analysis
  • Decoding
  • Plotting Brain Images
• Neuroscount
  • Link
• 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
  • Brain Inspired 047: David Poeppel - Wrong in interesting ways
  • Brain Inspired 053: Jonathan Brennan - Linguistics in Minds and Machines
  • Brain Inspired 144: Emily Bender & Ev Federenko - Large Language Models
• Talks:
  • Nancy Kanwisher's TED talk: A Neural Portrait of the Human Mind
  • Jonathan Brennan: Building bridges between computation and implementation for natural language understanding
  • Laura Gwilliams: Towards a mechanistic account of speech comprehension
• Books:
  • Russel Poldrack: Handbook of Functional MRI Analysis
  • Steven Luck: An Introduction to the Event-Related Potential Technique
  • David Kemmerer: Cognitive Neuroscience of Language
  • Jonathan Brennan: Language and the Brain - A Slim Guide to Neurolinguistics
  • Giosuè Baggio: Neurolinguistics
• Course videos:
  • Neural Bases of Language through NYU
  • The Human Brain course through MIT