# Parameterizing neural power spectra into periodic and aperiodic components

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/parameterizing-neural-power-spectra-into-periodic-and-aperiodic-components/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thomas Donoghue,Matar Haller,Erik Peterson,Paroma Varma,Priyadarshini Sebastian,Richard Gao,Torben Noto,Antonio H. Lara,Joni D. Wallis,Robert T. Knight,Avgusta Y. Shestyuk,Bradley Voytek |
| Citations | 2,442 |
| DOI | 10.1038/s41593-020-00744-x |
| Fields | Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/8106550 |
| OpenAlex ID | https://openalex.org/W3110151578 |
| PMID | 33230329 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Bradley Voytek](https://scholariq.org/researchers/bradley-voytek/)

## Paper primary topic

- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)

## Paper topics

- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [Memory and Neural Mechanisms](https://scholariq.org/topics/memory-and-neural-mechanisms/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.