|Logo| ``laMEG``: laminar inference with MEG ============================================ Introduction ------------ Toolbox for laminar inference with MEG, powered by FreeSurfer (https://surfer.nmr.mgh.harvard.edu/fswiki) and SPM (https://github.com/spm/) for **Python 3.7**. The source code of the project is hosted on Github at the following address: https://github.com/danclab/laMEG To get started, follow the `installation instructions `_. For guidelines on MRI sequences, head-cast construction, and co-registration, see the `wiki `_ Available modules ----------------- Here is a list of the modules available in ``laMEG``: .. currentmodule:: lameg .. toctree:: :maxdepth: 1 .. autosummary:: :caption: laMEG ~lameg.invert ~lameg.laminar ~lameg.simulate ~lameg.surf ~lameg.util ~lameg.viz Tutorials ---------------- A collection of tutorials is available: .. toctree:: :maxdepth: 2 auto_tutorials/index Operating system ---------------- * Windows: Tested on WSL (using Ubuntu 24.04.1), follow instructions `here `_ * Mac: May work, not tested * Linux: Tested on Ubuntu and Debian Requirements ---------------- * `FreeSurfer v6.0 `_ * Python version 3.7 * Anaconda (or miniconda) * git * curl Installation ---------------- 1. Install git and curl if needed:: sudo apt-get install git curl 2. Create a conda environment:: conda create -n python=3.7 replacing ```` with the name of the environment you would like to create (i.e. 'lameg', or the name of your project) 3. Activate the environment:: conda activate replacing ```` with name of the environment you created. 4. Install FreeSurfer, following the instructions `here `_ 5. To install ``laMEG``, run:: pip install lameg This also installs SPM standalone and Matlab runtime, which can take some time depending on your connection speed. 6. Before using, deactivate and reactivate the environment for changes to environment variables to take effect:: conda deactivate conda activate 7. If you want to run the tutorials, download and extract the `test data `_ Indices and tables ------------------ * :ref:`genindex` * :ref:`modindex` * :ref:`search` Funding ------- *Supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme grant agreement 864550, and a seed grant from the Fondation pour l'Audition.* |ERC| |FPA| .. |Logo| image:: https://github.com/danclab/laMEG/blob/main/lameg/assets/logo.png?raw=true :alt: laMEG :width: 200 .. |ERC| image:: https://github.com/danclab/laMEG/blob/main/lameg/assets/erc_logo.jpg?raw=true :alt: ERC :height: 100 .. |FPA| image:: https://github.com/danclab/laMEG/blob/main/lameg/assets/fpa_logo.png?raw=true :alt: FPA :height: 100