Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Jan 10;13:44. doi: 10.1038/s41467-021-27724-4

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 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/.

PMC Copyright notice

Fig. 6 — a Our model predicts that changes in noise correlations at intermediate lateral distances are driven by changes of the correlation length L. When the correlation length decreases (L_att < L_ctl), the model predicts a robust reduction of noise correlations at intermediate distances (across columns, purple background) when changes at zero distance are vanishing (crimson line). Over short distances (within the column, orange background), noise correlations progressively decrease with distance. b When the correlation length increases (L_att > L_ctl), our model predicts an increase of noise correlations at intermediate distances when changes at zero distance are vanishing (green line). In both cases (a, b), the spatial profile of noise-correlation changes is not uniform, and sizable changes are predicted to occur at intermediate lateral distances. c The balanced network model with fluctuations around a single global fixed point predicts uniform changes in noise correlations at all distances (black line)³¹. d In two-phase recordings, changes in noise correlations during attention depend on the RF-center distance. The magnitude of noise-correlation changes is vanishingly small at zero distance and progressively increases at longer distances. With increasing RF-center distance, noise correlations decrease in superficial layers (crimson). Data for single columns (crimson dots - data, line - linear regression, n = 2544 MU pairs) are shown along with an approximate value of changes in noise correlation between neurons in different columns recorded with a Utah array (black dot). Error bars represent SEM. e Same as d for deep layers in two-phase recordings (n = 3064 MU pairs). With increasing RF-center distance, noise correlations show a moderate increasing trend with borderline statistical effect. f Same as d, e for one-phase recordings. Changes in noise correlations during attention do not depend on the RF-center distance in superficial (crimson) and deep (green) layers (superficial layers n = 920 MU pairs; deep layers n = 1448 MU pairs). Source data are provided as a Source Data file.