Table of Contents¶
- API Documentation
- Frequently Asked Questions
- Table of Contents
- What is FOOOF?
- What is meant by ‘aperiodic’ activity?
- What is meant by ‘periodic’ activity?
- Why should I parameterize power spectra?
- Why is it important to measure aperiodic activity?
- Why call it ‘aperiodic’? Why not call it ‘1/f’ or ‘noise’, etc?
- Why are spectral peak used as evidence of periodic activity?
- What if there is no peak? Is there no periodic activity?
- How should peaks be interpreted? Are they equivalent to oscillations?
- Why is parameterizing neural power spectra different from other methods?
- What data modalities can be used for parameterizing neural power spectra?
- Are there settings for the fitting algorithm?
- How should algorithm settings be chosen?
- What frequency range should the model be fit on?
- If I am interested in a particular oscillation band, should I fit a small range?
- What does the ‘aperiodic’ component of the signal reflect?
- Does it matter how power spectra are calculated?
- Can this be applied to task or trial based analyses?
- Is there a time resolved version?
- Why is it called FOOOF?
- How do I cite this method?
- References
- Table of Contents
- Glossary
- Reference and Reporting Information
- Code Changelog
- Tutorial
- Examples
- Motivations