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Framework of Information Theory for Electrophysiological data and Statistics

Project description


Documentation | Installation | Usage example | List of functions | Cite Frites


Frites is a Python toolbox for assessing information-theorical measures on human and animal neurophysiological data (M/EEG, Intracranial). The aim of Frites is to extract task-related cognitive brain networks (i.e modulated by the task). The toolbox also includes directed and undirected connectivity metrics such as group-level statistics. Frites documentation is available online at


Run the following command into your terminal to get the latest stable version :

pip install -U frites

You can also install the latest version of the software directly from Github :

pip install git+

For developers, you can install it in develop mode with the following commands :

git clone
cd frites
python develop
# or : pip install -e .


The main dependencies of Frites are :

In addition to the main dependencies, here’s the list of additional packages that you might need :


See acknowledgments

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