fitting oscillations & one-over f
Project description
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:
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 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
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