EEG/MEG Source Connectivity Toolbox
Project description
SCoT is a Python package for EEG/MEG source connectivity estimation.
Obtaining SCoT
Use the following command to fetch the sources:
git clone –recursive https://github.com/scot-dev/scot.git scot
The flag –recursive tells git to check out the numpydoc submodule, which is required for building the documentation.
Documentation
Documentation is available online at http://scot-dev.github.io/scot-doc/index.html.
Dependencies
Required: numpy, scipy
Optional: matplotlib, scikit-learn
Examples
To run the examples on Linux, invoke the following commands inside the SCoT main directory:
PYTHONPATH=. python examples/misc/connectivity.py
PYTHONPATH=. python examples/misc/timefrequency.py
etc.
Note that you need to obtain the example data from https://github.com/SCoT-dev/scot-data. The scot-data package must be on Python’s search path.
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