MATLAB kernel for Jupyter

To run MATLAB code within Jupyter notebooks, set up the MATLAB kernel in your environment.

Prerequisites

Ensure you have MATLAB R2025b installed (required for Python 3.12+ compatibility).
Your conda environment should be using Python 3.12.

Activate your environment:

conda activate neurowaves-lab-documentation

Install Jupyter and the MATLAB kernel:

conda install notebook jupyter_client
pip install matlab_kernel

Install the MATLAB Engine for Python. Navigate to your MATLAB installation folder (for example C:\Program Files\MATLAB\R2025b\extern\engines\python) and install the engine:
```
cd "C:\Program Files\MATLAB\R2025b\extern\engines\python"
python -m pip install .
```

Two kernels are available in Jupyter:

Matlab: starts a new, independent MATLAB session for the notebook.
Matlab (Connection): connects to an already running MATLAB instance, allowing you to share the workspace.

To use the Connection kernel:

In your standalone MATLAB command window, run:
```
matlab.engine.shareEngine
```
In Jupyter, select the Matlab (Connection) kernel. You can now access variables from your standalone MATLAB session using commands like who or simply by typing the variable name.