Materials for AI in Cognitive Neuroscience Summer School, 2024
Repositories
poldrack Repositories
Advanced Normalization Tools in Python
Materials for advanced Jupyter session
testing demo
An open-source book on building better code for science using AI
A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.
Markdown-formatted Creative Commons licenses
analyses of Genetics of Brain Structure (GOBS) dataset
analysis of IID data
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
code and data from Latent Structure modeling paper
Monte Carlo Reference-based Consensus Clustering
Simulations of the MID task
Materials that correspond with mixed models youtube series on mumfordbrainstats
data preparation for MultiTask project
NeuroSynth core tools