Resources for 2024 Summer School on AI and Cognitive Neuroscience
Russ Poldrack
All code available at
https://github.com/poldrack/AI_in_CogNeuro.
All code shared under an MIT License. All other materials shared under a CC-BY license unless otherwise noted.
Lectures
1: What is "AI" and where did it come from?
2: What questions can we ask using AI/ML methods?
3: AI tools for fMRI analysis
4: Foundation models for fMRI
5: Alignment of AI models and neural data
6: AI-assisted coding
7: Doing reproducible research in the context of AI
Jupyter notebooks
Note: some of these notebooks are rather messy!
data_setup_haxby.ipynb
decoding_haxby.ipynb
cv_variability.ipynb
perceptron.ipynb
predicting_rare_things.ipynb
assessing_performance.ipynb
leakage.ipynb
response_estimation.ipynb
Reports for Haxby Subject 1
fMRIPrep report
MRIQC anatomical report
MRIQC functional report
Example group reports for OpenNeuro ds000030
MRIQC group anat example
MRIQC group BOLD example