Orange3-MNE 1.0.13

Electrophysiological data processing widgets for Orange 3 based on the MNE for Python library.

MNE Widgets for Orange 3 (Orange3-MNE)

Orange3-MNE is a python package, that provides methods from MNE for Python for Orange 3 in a form of widgets, to allow for electrophysiological data processing.

Note: This library was created as a part of the master's thesis to show that it is possible to use Orange 3 as a workflow management system for electrophysiological data processing. The widgets' functionality was verified on three existing experiments. Nevertheless, the library requires further development.

Installation

The installation process is quite straightforward, first we need to install the Orange 3 tool:

Note: If you have Orange 3 already installed, you can skip this step.

    virtualenv orange          # Create a virtual environment
    ./orange/Scripts/activate  # Activate the environment (source ./orange/Scripts/activate for linux)
    pip install Orange3 PyQt5  # Install Orange 3 and PyQt library

Then it is possible to install the library using one of the following methods.

Pip Method

   pip install Orange3-MNE

GUI Method

1. Run Orange: python -m Orange.canvas
2. In Orange navigate to Options -> Add-ons
3. Click on Add more... and enter the package name: Orange3-MNE
4. Confirm the settings and Orange will install the library
5. Restart Orange and the electrophysiological data processing library will be available

User's guide

The documentation on how to use Orange 3 is available on its homepage.

The documentation to widgets in this library can be found here, and here.

Change Log

1.0.13

• Updated MNE version to 1.1.1, keras to 2.10.0, and tensorflow to 2.10.0

1.0.12

• Updated MNE version to 0.20.7 which resolves matplotlib problem