https://github.com/brainets/frites

Framework for Information Theoretical analysis of Electrophysiological data and Statistics
https://github.com/brainets/frites

brainhack brainhack-marseille brainweb cluster-based electrophysiological-data ffx functional-connectivity gaussian-copula group-level information-theory institut-neurosciences-timone neurophysiological-data rfx statistics

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Framework for Information Theoretical analysis of Electrophysiological data and Statistics

• Host: GitHub
• URL: https://github.com/brainets/frites
• Owner: brainets
• License: bsd-3-clause
• Created: 2019-10-09T08:56:55.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-09-17T14:40:25.000Z (3 months ago)
• Last Synced: 2024-09-17T18:19:44.398Z (3 months ago)
• Topics: brainhack, brainhack-marseille, brainweb, cluster-based, electrophysiological-data, ffx, functional-connectivity, gaussian-copula, group-level, information-theory, institut-neurosciences-timone, neurophysiological-data, rfx, statistics
• Language: Python
• Homepage: https://brainets.github.io/frites/
• Size: 412 MB
• Stars: 76
• Watchers: 11
• Forks: 20
• Open Issues: 8
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE
  • Citation: CITATION.cff

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README

        
.. figure::  https://github.com/brainets/frites/blob/master/docs/source/_static/logo_desc.png

    :align:  center

Frites

======

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.. _Documentation: https://brainets.github.io/frites/

.. |Documentation| replace:: **Documentation**

.. _Installation: https://brainets.github.io/frites/install.html

.. |Installation| replace:: **Installation**

.. _Usage: https://brainets.github.io/frites/auto_examples/index.html

.. |Usage| replace:: **Usage example**

.. _API: https://brainets.github.io/frites/api/index.html

.. |API| replace:: **List of functions**

.. _Cite: https://brainets.github.io/frites/overview/ovw_cite.html

.. |Cite| replace:: **Cite Frites**

|Documentation|_ | |Installation|_ | |Usage|_ | |API|_ | |Cite|_

Description

===========

`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 https://brainets.github.io/frites/

.. figure::  https://github.com/brainets/frites/blob/master/docs/source/_static/network_framework.png

    :align:  center

Installation

============

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

.. code-block:: shell

    pip install -U frites

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

.. code-block:: shell

    pip install git+https://github.com/brainets/frites.git

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

.. code-block:: shell

    git clone https://github.com/brainets/frites.git

    cd frites

    python setup.py develop

    # or : pip install -e .

Dependencies

++++++++++++

The main dependencies of Frites are :

* `Numpy `_

* `Scipy `_

* `MNE Python `_

* `Xarray `_

* `Joblib `_

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

* `Numba `_ : speed up the computations of some functions

* `Dcor `_ for fast implementation of distance correlation

* `Matplotlib `_, `Seaborn `_ and `Networkx `_ for plotting the examples

* Some example are using `scikit learn `_ estimators

Acknowledgments

===============

See `acknowledgments `_