fooof

FOOOF: Fitting Oscillations & One-Over F

FOOOF is a fast, efficient, physiologically-informed model to parameterize neural power spectra, characterizing both the aperiodic & periodic components.

The model conceives of the neural power spectrum as consisting of two distinct components:

1) an aperiodic component, reflecting 1/f like characteristics, modeled with an exponential fit, with 2) band-limited peaks, reflecting putative oscillations, and modeled as Gaussians

The module includes:

• Code for applying models to parameterize neural power spectra
• Plotting functions for visualizing power spectra, model fits, and model parameters
• Analysis functions for examining model components and parameters
• Utilities for Input/Output management, data management and analysis reports
• Simulation code for simulating power spectra for methods testing

More details are available on the documentation site.

Documentation: https://fooof-tools.github.io/

If you use this code in your project, please cite:

Haller M, Donoghue T, Peterson E, Varma P, Sebastian P, Gao R, Noto T, Knight RT, Shestyuk A, Voytek B (2018) Parameterizing Neural Power Spectra. bioRxiv, 299859. doi: https://doi.org/10.1101/299859

A full description of the method and approach is available in this paper.

Direct Paper Link: https://www.biorxiv.org/content/10.1101/299859v1