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

. 2023 Feb 13;14:673. doi: 10.1038/s41467-023-36346-x

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

© The Author(s) 2023

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. 3 — A Example of the average glomerular responses of a WT mouse to the 16 mixtures of the training set and responses to 16 mixtures of the test set with 4-methylanisole as the novel background. B Estimated weights of SVM with linear kernel and logistic linear classifiers trained using the training set for the example. C Output produced by multiplying the weights w_i of the logistic linear classifier and adding the constant bias term w₀ with the glomeruli activation. Each row represents the output produced by a given combination of target odor and contextual background odor from the training set (blue squares) or the test set (red squares). Correct performance consisted of positive responses for go stimuli and negative responses for no-go stimuli. D Performance of the logistic regressor calculated on data from 6 WT mice, 32 recording sessions on the test set, with the performance of each recording day using 100 instantiations of each of the responses of the test set using Eq. (1). Error bars are s.e.m. and p-values were calculated using a two-tailed t-test. E Same as C but using the SVM weights. F Performance of the SVM for the data from 6 WT mice, 32 recording sessions. Data are presented as mean values ± s.e.m. and p-values were calculated using a two-tailed t-test. G Example of a matrix of dot products between the 16 training set mixtures and the 16 test set mixtures used for calculating the NNC. Each target odor appeared mixed with each of the four contextual background odors. For each mixture in the test set, the red squares indicate the location of the most similar mixture from the training set. If the valence (go or no-go) of the target odor in the test mixture matched the valence of the most similar mixture (Nearest Neighbor), the trial was considered correct. H The performance of the NNC for novel background odors for 6 WT mice, 32 recording sessions. Data are presented as mean values ± s.e.m. and p-values were calculated using a two-tailed t-test.