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Toolbox for quantifying phase transitions in neural data

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Development Status: 3 - Alpha. Some features still need to be added and tested.

EDGE OF PY

Package for assessing the distance to criticality in brain dynamics.

Features

  • Avalanche criticality measures
    • Avalanche detection
    • Avalanche distribution plotting
    • Power law fitting (via powerlaw)
    • Deviation from criticality coefficients (DCC)
    • Shape collapse error
    • Shew's kappa
    • Avalanche reprtoire size and diversity
    • Branching ratios
    • Susceptibility
    • Fano factor
  • Edge of chaos measures
    • 0-1 chaos tested
    • Lambda max (Dahmen et al., 2019)
  • Edge of synchrony measures
    • Pair correlation function (PCF)
    • Phase lag index (PLI)
    • Phase lag entropy (PLE)
    • Global lability index (GLI)
    • Phase-locking avalanche detection

Installation

Install edgeofpy by running:

pip3 install edgeofpy

Documentation

Coming soon.

Requirements

  • Python 3.7 or later
  • numpy
  • scipy
  • matplotlib
  • powerlaw
  • neurokit2

License

The project is licensed under the Apache 2.0 license.

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Toolbox for quantifying phase transitions in neural data

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