Notes from a lab meeting talk on how to structure, build, and upload a Python package to PyPI, with an example from my own code.
Using the squared Mahalanobis distance, which is chi-squared distributed under multivariate normality, to compare connectivity fingerprints between one cortical region and every other region, with Ledoit-Wolf covariance estimates and a check that the empirical distances follow the expected distribution.
Translating, rotating, and warping an MRI slice with OpenCV, as a first step toward simulating head motion.