Version 1.11.0.dev36+gf7cab3af2 (development) (2025-08-19)#

Bugfixes#

Handle scenario where an Eyelink recording switched from binocular to monocular mode during a trial by Scott Huberty (#12847)
Fix bug with mne.io.read_raw_egi() where info["dev_head_t"] was an identity matrix instead of None, by Eric Larson. (#13112)
Fix bug with mne.open_report() not working with old saved files, by Eric Larson. (#13341)
Restore clipping=3 in plot() (which was mistakenly changed to 1.5) to reduce excessive clipping of raw data, by Clemens Brunner. (#13354)
Make read_raw_eyelink() work with ASCII files collected with Eye Event Mode set to “HREF” by Scott Huberty. (#13357)
model parameter of mne.decoding.LinearModel will not be modified, use model_ attribute to access the fitted model. To be compatible with all MNE-Python versions you can use getattr(clf, "model_", getattr(clf, "model")) The provided model is expected to be a supervised predictor, i.e. classifier or regressor (or sklearn.multiclass.OneVsRestClassifier), otherwise an error will be raised. by Gennadiy Belonosov. (#13361)
Fix the check in mne.make_forward_solution() that all MEG sensors are outside a spherical BEM model, by Marijn van Vliet (#13371)
Ensure auto-computed plot scalings are always non-zero, by Daniel McCloy. (#13376)

Changed “enhancement” to “new feature” in the contributing guide as enhancement is not a recognized change type, by Shristi Baral (#13373)