Figures
Oscillatory phase estimate across an intact suprachiasmatic nucleus.
Phase estimation is a critical tool for analyzing oscillatory signals. However, for oscillatory signals in the brain, invasive measurement techniques have the potential to alter oscillatory dynamics. Here we show the results of a new phase estimation technique that can be applied to data from intact neural tissue. Yao et al 2025
Image Credit: Yao et al.
Citation: (2025) PLoS Computational Biology Issue Image | Vol. 21(3) March 2025. PLoS Comput Biol 21(3): ev21.i03. https://doi.org/10.1371/image.pcbi.v21.i03
Published: March 31, 2025
Copyright: © 2025 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Phase estimation is a critical tool for analyzing oscillatory signals. However, for oscillatory signals in the brain, invasive measurement techniques have the potential to alter oscillatory dynamics. Here we show the results of a new phase estimation technique that can be applied to data from intact neural tissue. Yao et al 2025
Image Credit: Yao et al.