ArticleCommunications biology2020
Temporal structure of mouse courtship vocalizations facilitates syllable labeling.
Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.Scientific reports · 2025Article
- Courtship behaviour reveals temporal regularity is a critical social cue in mouse communication.eLife · 2023Article
- Cortical circuits modulate mouse social vocalizations.Science advances · 2023Article
- Rodent ultrasonic vocal interaction resolved with millimeter precision using hybrid beamforming.eLife · 2023Article
- Differences in temporal processing speeds between the right and left auditory cortex reflect the strength of recurrent synaptic connectivity.PLoS biology · 2022Article
- TrackUSF, a novel tool for automated ultrasonic vocalization analysis, reveals modified calls in a rat model of autism.BMC biology · 2022Article
- Maternal immune activation alters the sequential structure of ultrasonic communications in male rats.Brain, behavior, & immunity - health · 2021Article
- Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires.eLife · 2021Article
- LMT USV Toolbox, a Novel Methodological Approach to Place Mouse Ultrasonic Vocalizations in Their Behavioral Contexts-A Study in Female and Male C57BL/6J Mice and inFrontiers in behavioral neuroscience · 2021Article
- Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires.PLoS computational biology · 2020Article
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4 authors.
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Abstract
Mice emit sequences of ultrasonic vocalizations (USVs) but little is known about the rules governing their temporal order and no consensus exists on the classification of USVs into syllables. To address these questions, we recorded USVs during male-female courtship and found a significant temporal structure. We labeled USVs using three popular algorithms and found that there was no one-to-one relationships between their labels. As label assignment affects the high order temporal structure, we developed the Syntax Information Score (based on information theory) to rank labeling algorithms based on how well they predict the next syllable in a sequence. Finally, we derived a novel algorithm (Syntax Information Maximization) that utilizes sequence statistics to improve the clustering of individual USVs with respect to the underlying sequence structure. Improvement in USV classification is crucial for understanding neural control of vocalization. We demonstrate that USV syntax holds valuable information towards achieving this goal.
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