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. 2023 May 30;17:1111908. doi: 10.3389/fnbeh.2023.1111908

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Copyright © 2023 Chen, Zhang, Fang, Zhang, Bal, Zhou, Rock, Padilla-Coreano, Keyes, Zhu, Li, Komiyama, Tye and Lu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Behavioral clusters can be differentiated by unique combinations of features. (A, C) Illustrate the heatmaps of averaged feature values utilized for individual and social behavioral clusters, respectively. M1 refers to the reference mouse and M2 refers to the non-reference mouse in the dyad. (B, D) Show the mutual information between cluster assignment and each feature for individual and social behavioral clusters, respectively. A higher mutual information score indicates that the feature plays a crucial role in distinguishing specific clusters.