v1.1.0

This release introduces the ICLabel classifier, which automatically labels independent components (ICs) as brain, muscle, eye, heart, line noise, channel noise, or other. To use this feature, the current dataset must include both a montage and an ICA solution. The classifier can then be accessed via Tools → Label ICs…, which opens a dialog displaying the category probabilities for each IC. From this dialog, users can also visualize IC properties and auto-select components for exclusion based on customizable probability thresholds (for example, automatically selecting all ICs labeled as "eye" with a probability greater than 0.9).

Additional improvements include the ability to save the command history directly to a Python script, as well as exporting channel properties to a CSV file.

As always, this release also includes numerous bug fixes and stability improvements.