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. 2022 Jul 6;607(7918):330–338. doi: 10.1038/s41586-022-04915-7

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© The Author(s) 2022, corrected publication 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — Raster of spontaneous neuronal activity (grey screen) for an example session. a, Running speed, pupil size and mean activity of the 10% of excitatory cells (ECs) with most negative principal component weights (oscillation). b, Raster of EC activity, sorted by weight on the first principal component of their activity. c, Raster of the activity of inhibitory cells (ICs), grouped and coloured by subtype. The three columns on the right show an expanded view of the time windows marked in a, illustrating three behavioural states. These rasters show all recorded ECs (413 cells) and molecularly identified ICs (117 cells) in this session (94 ICs not matched to in situ transcriptomics are not shown; note the different scale bars for ECs and ICs). Neuronal activity was z-scored and then smoothed with a 1-s boxcar window.

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