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Roadmap
github-actions[bot] edited this page Apr 28, 2026
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The detailed task sheets live under
doc/dev-notes/
in the main repo. This page is the high-level summary.
- New libraries:
mna(analysis container.mna/.mnx),ml(ONNX Runtime + Python training bridge),sts(statistical testing — clusters, permutation, TFCE, Ledoit-Wolf). - New inverse methods: CMNE (Contextual MNE), MxNE, Gamma-MAP.
- DSP: multitaper PSD/TFR, CSD, Extended Infomax ICA, bipolar re-referencing, channel derivations.
- Connectivity: directed measures Granger, DTF, PDC with shared MVAR backbone.
- Source-space cluster permutation tests + TFCE.
- sEEG / iEEG: stereotactic depth-electrode visualization, contact localization, MRI volume slicing.
- MNE Inspect UI overhaul — native menu bar, dock widgets, Loaded Files panel, recent projects, WASM compatibility.
- MNE Scan now uses MNA/MNX as its project storage format (was: ad-hoc XML).
- MNE-C CLI parity — 82 command-line tools, complete coverage of the original MNE-C utility suite.
- WASM Progressive Web App deployment.
- Lossless MNA/MNX round-trip (forward-compatible
extrasfields).
Tracking sheet: doc/dev-notes/v2.3.0-requirements.md
-
mne-mnaPython package (deferred from 2.2) — pip-installable Python loader for.mna/.mnx, joint publication with MNE-Python. - NeuralSet interoperability (deferred from 2.2) — Meta's NeuralSet format released April 2026; event-table import, BIDS importer, segmenter op, Chain export.
- Continued performance sweeps via the code-optimization prompt.
-
mne_analyzeplugin parity (Sections H/M/L inoptimization-requirements.md).
- File a feature request: https://github.com/mne-tools/mne-cpp/issues/new/choose
- Discuss design: https://github.com/mne-tools/mne-cpp/discussions
- Submit a PR against
staging: see Release process
MNE-CPP — BSD-3-Clause licensed · Maintained by the MNE-CPP authors · Website · API · Source
Edit this wiki via
doc/wiki/— direct edits in the GitHub UI are overwritten on next push tomain.