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. 2021 Jul 21;12:4444. doi: 10.1038/s41467-021-24393-1

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© The Author(s) 2021

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. 3 — a Simulated reinstatement analysis. Models trained during encoding predicted the serial position (top) or category (bottom) of the upcoming recall. b Decoding performance from reinstated patterns of neural activity within each network. Top, the serial position model revealed transient context reinstatement within the PM network. Bottom, the category decoding model revealed greater content reinstatement within the AT than the PM network. Significant differences in reinstatement between the two networks are indicated in black. Red lines highlight timepoints with above chance decoding, p < 0.05, FWER corrected (two-sided permutation t test). c Relationship between network reinstatement and organization of recall sequences along temporal and categorical dimensions. Each point denotes an individual subject. Top, greater context reinstatement in the PM network was associated with increased temporal organization. Bottom, greater content reinstatement in the AT network was associated with greater category organization. Uncorrected p values from two-sided Student’s t tests are displayed (b, c), after averaging over significant timepoints (FWER corrected, b). For all tests, n = 69 subjects (indicated by points in c). Shaded regions denote mean ± 1 SEM. Source data are provided as a Source Data file.