fitting oscillations & one-over f
Project description
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:
- an aperiodic component, reflecting 1/f like characteristics, modeled with an exponential fit, with
- 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
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