Release v3.1.1

Release Date: October 20, 2026

A patch release. Install the new desktop app; it downloads the matching image (idossha/ti-toolbox:v3.1.1) on its next start. Update both together: the image carries the server the app talks to. Projects, saved scenes and results from v3.1.0 open unchanged; subjects that use one of the four corrected EEG caps need that cap re-applied (see Fixed).

Additions

  • The EEG caps panel. Turn it on in Settings ▸ Extensions ▸ EEG caps. Pick a subject, tick the caps you want and press Apply selected: each cap is placed on the subject’s existing head model exactly as charm does at the end of a head-model build, in a few seconds, without rebuilding the head model. You can also add your own MNI cap CSV to the project. The table shows which caps are on the subject and when each was applied, and asks before replacing one. Click a net to see it on the subject’s scalp with each electrode’s spacing and distance to the scalp, a warning when electrodes collapse onto each other, and an optional second net to compare. See EEG Caps.

Fixed

  • GSN-HydroCel-128, BioSemi-64, BioSemi-128 and BioSemi-256 caps: these four caps were in the wrong coordinate frame, so a head model built with them had their central electrodes collapsed onto one point, leaving a hole in the net (43 electrodes of the GSN-HydroCel-128). They are now in MNI space and sit on the head. A head model built before this release keeps the wrong positions: open EEG caps, tick the affected cap and press Apply selected (choose Replace and rerun when asked) — or Re-apply all — for each subject that uses it. Simulations and optimizations that used one of these nets should be re-run afterwards. Other nets are unchanged.
  • Simulation report: the report of a simulation was not written, for every subject, with matmul: Input operand 1 has a mismatch in its core dimension 0. It is written again; simulation outputs are unchanged.

The full list is in the Changelog.

Desktop App (v3.1.1): macOS Intel · macOS Apple Silicon · Windows · Linux AppImage · Linux deb

Other:

  • Docker Image: docker pull --platform linux/amd64 idossha/ti-toolbox:v3.1.1
  • Source Code: GitHub Repository

For installation instructions, see the Installation Guide.

Getting Help

See Troubleshooting for known issues, or GitHub Discussions for help.