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. Author manuscript; available in PMC: 2023 Nov 16.
Published in final edited form as: Neuron. 2022 Sep 20;110(22):3789–3804.e9. doi: 10.1016/j.neuron.2022.08.022

Figure 5. Behavioral segmentation of novelty responses using MoSeq.

Figure 5.

A. MoSeq workflow. B. Top, syllable usage across all approach bouts on N1 in all mice. Bottom, fraction of syllable usage at retreat (−1s to 1s). C. Syllable usage in novel object group. D. Top, example image series and superimposed images (full videos in Video S1 and S2). Bottom, spatial expression. E. Syllable usage in each group. Top, time-course (mean ± SEM). Bottom, total syllable expression (novel object vs unexpected familiar object, p=4.9×10−4, syllable 79; p=4.9×10−4, syllable 14, n=9 animals for each; sham vs ablation, p=0.010, syllable 79; p=0.030, syllable 14, n=17 animals for each, K-S test). Expression of both syllables decreased over time (−0.10/min, p=6.8×10−15, F-statistic 9.0; syllable 79; −0.07/min, p=2.0×10−12, F-statistic 7.2, syllable 14, linear regression with time and animals in the novel object group, degree of freedom 215). F. Left, fractional expression of each syllable after syllable 79. Right, fraction of syllable 14 expression following syllable 79 expression (p=0.72, n=17 animals for each, t-test). See also Figure S3.