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mne-python Contributions

PR #13710 – Add Epoch Quality Example(How-To Guide for Identifying Artifactual Epochs)
Merged: Apr 2026

Added a Sphinx-gallery how-to example demonstrating per-epoch outlier scoring using peak-to-peak amplitude, variance, and kurtosis — inspired by FASTER (Nolan et al., 2010) and Delorme et al. (2007)
Used the EEGBCI dataset with two thresholds (0.6 and 0.3) to demonstrate the quality-quantity trade-off, with epoch plots at each threshold to make artifacts visually prominent
Structured as a diataxis-aligned how-to guide per maintainer feedback, assuming prior MNE knowledge and leading with the task goal
Added footcite references to doc/references.bib following MNE documentation standards
Incorporated multi-round feedback from three reviewers (larsoner, tsbinns, CarinaFo), iterating on dataset choice, threshold selection, channel visibility, and example structure

PR #13729 – Add Python–R Interoperability Example using rpy2
Merged: Mar 2026

Added a Sphinx-gallery example demonstrating a mass-univariate t-test using Python and R (via rpy2)
Showed full interoperability: NumPy → R conversion, executing R functions, retrieving results back into Python
Integrated rpy2 into documentation dependencies and updated CI to install R
Resolved cross-platform build issues via CircleCI configuration (R + system libraries)
Incorporated maintainer feedback: moved to stats module, improved ROI selection and ERP window, expanded rpy2 explanations
Ensured successful documentation build with all CI checks passing

PR #13570 – Add Optional Channel Name Overlay to plot_alignment
Merged: Feb 2026