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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.

Release History

Release History

This version
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0.1.3

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0.1.2

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0.1.1

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0.1.0

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
scot-0.1.3-py2.py3-none-any.whl (54.9 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Aug 12, 2015

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