v0.5.5

This release adds basic support for NIRS data (loading of NIRX files, conversion to optical density and haemoglobin) as well as the possibility to concatenate data sets. There are also some major changes under the hood, such as support for PySide2 (in addition to PyQt5), a complete refactoring of I/O into its own subpackage, and the return to multiprocessing. MNELAB can now also open BrainVision data with data files not restricted to .eeg extensions (sometimes .dat is also used).

v0.5.3

This release contains an important fix for conda users on macOS - the GUI will now always be rendered properly. Furthermore, the history feature includes more commands, and MNELAB properly renders hi-res icons. Under the hood, we now use Pebble instead of multiprocessing because this works better with conda installations.

v0.5.2

This bugfix release fixes an issue that could prevent Linux and macOS users from starting MNELAB.

v0.5.1

This release fixes a bug that could prevent Linux and Windows users from installing MNELAB via pip install mnelab.

v0.5.0

This release improves XDF support by squashing some bugs and adding a new dialog to inspect XDF meta information (File - Show Information). Furthermore, the About dialog now shows the installed version numbers of all required and optional dependencies. Finally, users on macOS finally get to see MNELAB in the menu bar.

v0.4.0

This release adds support for exporting data to BrainVision EEG/VHDR/VMRK (requires pybv). There is now an export submenu to make it easier to see which export formats are supported. On the import side, MNELAB can now load Elekta Neuromag FIF.GZ, Neuroscan CNT, EGI Netstation MFF, and Nexstim eXimia NXE file formats. There is a new option to crop raw (continuous) data. MNELAB now has its own logo (shown e.g. in the About dialog).

v0.3.0

This release fixes a few bugs and adds the following new features. First, MNELAB sports a toolbar. The command history can now be shown from the View menu - use this to paste your analysis into a script for reproducibility. Finally, bad channels can be interpolated.

v0.2.0

This release adds support for epoching continuous data. In addition, it is now possible to apply an ICA solution to data (to zero out selected components for example) and convert annotations to events (often required for epoching). This release also fixes numerous bugs/crashes. Finally, this is the first release with contributions from others - thanks a lot! For more details please read the project's CHANGELOG.md.

v0.1.0

This is the initial release of MNELAB. Many things already work, but you will probably find that many other things are still missing - please provide feedback by opening an issue on GitHub.