Due to a production error, information regarding code availability was not included. The Data availability statement has now been corrected to state:
“The raw data supporting the conclusions of this article will be made available by the corresponding authors, upon reasonable request. Free source code with a Python implementation of the methods can be found at: https://github.com/TransylvanianInstituteOfNeuroscience/OscillationDetection.”
The publisher apologizes for this mistake. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
neural oscillations, burst, detection, quantification, time-frequency spectrum, superlets
Citation
Frontiers Production Office (2024) Erratum: Sharp detection of oscillation packets in rich time-frequency representations of neural signals. Front. Hum. Neurosci. 18:1397042. doi: 10.3389/fnhum.2024.1397042
Received
06 March 2024
Accepted
06 March 2024
Published
18 March 2024
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
18 - 2024
Updates
Copyright
© 2024 Frontiers Production Office.
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Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.