Metadata-Version: 2.1
Name: fooof
Version: 1.0.0rc3
Summary: fitting oscillations & one-over f
Home-page: https://github.com/fooof-tools/fooof
Author: The Voytek Lab
Author-email: voyteklab@gmail.com
Maintainer: Thomas Donoghue
Maintainer-email: tdonoghue.research@gmail.com
License: Apache License, 2.0
Download-URL: https://github.com/fooof-tools/fooof/releases
Project-URL: Documentation, https://fooof-tools.github.io/fooof/
Project-URL: Bug Reports, https://github.com/fooof-tools/fooof/issues
Project-URL: Source, https://github.com/fooof-tools/fooof
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:
        
        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
        
Keywords: neuroscience,neural oscillations,power spectra,1/f,electrophysiology
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Provides-Extra: plot
Provides-Extra: tests
Provides-Extra: all
