laMEG
: laminar inference with MEG#
Introduction#
Toolbox for laminar inference with MEG, powered by FreeSurfer (https://surfer.nmr.mgh.harvard.edu/fswiki) and SPM (spm/) for Python 3.7.
The source code of the project is hosted on Github at the following address: danclab/laMEG
To get started, follow the installation instructions in the README.
Operating system#
Windows: not supported by FreeSurfer
Mac: may work, but not tested
Linux: yes
Available modules#
Here is a list of the modules available in laMEG
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This module provides tools for the coregistration, and source reconstruction of MEG data using SPM (Statistical Parametric Mapping). |
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This module provides tools for performing laminar analysis of MEG signals. |
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This module provides a set of tools for handling and manipulating surface mesh data. |
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This module provides tools for converting and visualizing data. |
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This module facilitates the simulation of MEG data using the Statistical Parametric Mapping (SPM) toolbox. |
Tutorials#
A collection of tutorials is available:
Indices and tables#
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.