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

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
• SPM for fMRI
  • Link to tutorial
• More: NITRC

Relevant Background

• Papers:
  • Naturalistic sentence comprehension
  • The revolution will not be controlled
  • Neurocomputational Models of Language Processing
• 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's 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