PyPhi¶

PyPhi is a Python library for computing integrated information.

If you use this software in your research, please cite the paper:

Mayner WGP, Marshall W, Albantakis L, Findlay G, Marchman R, Tononi G. (2018)

PyPhi: A toolbox for integrated information theory.

PLOS Computational Biology 14(7): e1006343.

https://doi.org/10.1371/journal.pcbi.1006343

An illustrated tutorial on how Φ is calculated is available as a supplement to the paper.

To report issues, use the issue tracker on the GitHub repository. Bug reports and pull requests are welcome.

For general discussion, you are welcome to join the pyphi-users group.

Installation¶

To install the latest stable release, run

pip install pyphi

To install the latest development version, which is a work in progress and may have bugs, run

pip install "git+https://github.com/wmayner/pyphi@develop#egg=pyphi"

Tip

For detailed instructions on how to install PyPhi on macOS, see the Detailed installation guide for macOS.

Note

Windows users: PyPhi is only supported on Linux and macOS operating systems. However, you can run it on Windows by using the Anaconda Python distribution and installing PyPhi with conda: conda install -c wmayner pyphi

Usage and Examples

Conventions

Configuration