fooof 1.0.0rc2

Fitting Oscillations & One-Over F (FOOOF)

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 FOOOF codebase includes:

• Code for applying models to parameterize neural power spectra

• Plotting functions for visualizing power spectra, model fits, and model parameters

• Analysis functions for examing 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 on FOOOF tool and codebase 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/early/2018/04/11/299859