Welcome to phyid’s documentation!

ΦID – Integrated Information Decomposition

Overview

phyid is a Python library developed to facilitate the computation of Integrated Information Decomposition (ΦID) for both continuous and discrete data. It serves as an equivalent to the original MATLAB toolbox, allowing researchers and enthusiasts to leverage Python’s extensive ecosystem for analyzing complex systems and neural data.

Installation

The library will be available for installation via pip. You can install the latest version using the following command:

pip install git+https://github.com/Imperial-MIND-lab/integrated-info-decomp.git

Citation

If you use phyid in your research, please cite the following papers:

• Mediano, Rosas, et al. (2025) Toward a unified taxonomy of information dynamics via Integrated Information Decomposition. PNAS. https://doi.org/10.1073/pnas.242329712

• Luppi, et al. (2022) A synergistic core for human brain evolution and cognition. Nature Neuroscience 25, 771–782. https://doi.org/10.1038/s41593-022-01070-0

Contents

• Reference API
  • phyid.calculate - calculate PhiID
  • phyid.measures - measures
  • phyid.utils - utilities

Indices and tables

• Index

• Module Index

• Search Page