ArticleeLife2021
Analysis of ultrasonic vocalizations from mice using computer vision and machine learning.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of sex differences in neonatal rodent ultrasonic vocalizations and the implication for the preclinical maternal immune activation model.Biology of sex differences · 2025Pooled it
- Frequency-dependent cerebellar circuits independently gate social vocalizations and movement.iScience · 2026Article
- Disruption of ultrasonic vocalizations with systemic administration of the non-competitive N-methyl-D-aspartate receptor antagonist MK-801 in adult male mice.The international journal of neuropsychopharmacology · 2026Article
- Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross-Species Technology Transfer.Veterinary medicine and science · 2026Review
- Lipopolysaccharide-induced systemic inflammation alters courtship ultrasonic vocalizations in male mice.Brain, behavior, & immunity - health · 2026Article
- A deep neural network for automatic prediction of mouse behavior from ultrasonic vocalizations emitted during social interaction test.Scientific reports · 2026Article
- Sensory nerve-derived signaling coordinates oropharyngeal structural organization that supports suckling and vocalization in neonatal mice.Nature communications · 2026Article
- Self-vocalizations activate the developing auditory cortex via an intracortical pathway.Science advances · 2026Article
- Simultaneous Recordings of Neuronal Activities, Pup Calls, and Maternal Behaviors in Lactating Mice.eNeuro · 2026Article
- Activity-dependent development of vocal circuits in the neonatal rodent forebrain.EMBO reports · 2026Article
- Maternal experience alters brain-wide representation of infant cries.bioRxiv : the preprint server for biology · 2026Article
- Npas4 regulates synaptic development in the patch/striosome compartment and early affective vocalization in neonatal mice.Molecular brain · 2026Article
- Tbx1 heterozygosity in the oligodendrocyte lineage shifts myelinated axon composition in the mouse fimbria without behavioral impairments.Molecular brain · 2026Article
- Frequency-dependent cerebellar circuits independently gate social vocalizations and movement.bioRxiv : the preprint server for biology · 2026Article
- Article
- Neonatal social communication and single genes predict the variability of post-pubertal social behavior in a mouse model of paternal 15q11-13 duplication.Research square · 2026Article
- Erratic Maternal Care Induces Avoidant-Like Attachment Deficits in a Mouse Model of Early Life Adversity.eNeuro · 2025Article
- Differential genetic background control state-dependent courtship ultrasonic vocalizations in mice.Neurogenetics · 2025Article
- Oxytocin signaling regulates maternally directed behavior during early life.Science (New York, N.Y.) · 2025Article
- Hidden in plain sound: the scientific potential of house mouse squeaks.Biology letters · 2025Review
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5 authors.
Funding
Abstract
Mice emit ultrasonic vocalizations (USVs) that communicate socially relevant information. To detect and classify these USVs, here we describe VocalMat. VocalMat is a software that uses image-processing and differential geometry approaches to detect USVs in audio files, eliminating the need for user-defined parameters. VocalMat also uses computational vision and machine learning methods to classify USVs into distinct categories. In a data set of >4000 USVs emitted by mice, VocalMat detected over 98% of manually labeled USVs and accurately classified ≈86% of the USVs out of 11 USV categories. We then used dimensionality reduction tools to analyze the probability distribution of USV classification among different experimental groups, providing a robust method to quantify and qualify the vocal repertoire of mice. Thus, VocalMat makes it possible to perform automated, accurate, and quantitative analysis of USVs without the need for user inputs, opening the opportunity for detailed and high-throughput analysis of this behavior.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.