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Robust estimation of 1/f activity improves oscillatory burst detection
Neural oscillations often occur as transient bursts with variable amplitude and frequency dynamics. Quantifying these effects is important for understanding brain–behaviour relationships, especially in continuous datasets. To robustly measure bursts, rhythmical periods of oscillatory activity must b...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828710/ https://www.ncbi.nlm.nih.gov/pubmed/36161675 http://dx.doi.org/10.1111/ejn.15829 |