A deep neural network for automatic prediction of mouse behavior from ultrasonic vocalizations emitted during social interaction test.

Alessandro Gnutti, Marika Premoli, Chia-Hao Kao, Pierangelo Migliorati, Riccardo Leonardi, Sara Anna Bonini

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Alessandro Gnutti *Department of Information Engineering, University of Brescia, Brescia, Italy. alessandro.gnutti@unibs.it.

Marika Premoli *Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

Chia-Hao KaoDepartment of Information Engineering, University of Brescia, Brescia, Italy.

Pierangelo MiglioratiDepartment of Information Engineering, University of Brescia, Brescia, Italy.

Riccardo LeonardiDepartment of Information Engineering, University of Brescia, Brescia, Italy.

Sara Anna BoniniDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of ultrasonic vocalizations (USVs) is fundamental as they represent a primary form of communication in mice, offering valuable insights into their social behaviors and underlying neural processes. This study introduces the first deep learning system designed to predict mouse behavior using only USVs as input. Applied to both wild-type (WT) and p50 knockout (KO) transgenic mice that present behavioral deficits, our results reveal a clear correlation between mouse communication and behavior. We also observed asymmetric cross-genotype generalization: models trained on WT USVs generalize to KO mice, whereas models trained on KO data fail to generalize to WT, suggesting differences in the distribution of spectrotemporal patterns between genotypes.

Indexed as

Behavior, AnimalDeep LearningNeural Networks, ComputerSocial InteractionVocalization, AnimalAnimalsMiceMice, KnockoutUltrasonicsAutomatic predictionCorrelation studyDeep-neural-network classifierMouse behaviorMouse communicationUltrasonic vocalizations

Identifiers

PMID42457787

DOI10.1038/s41598-026-59401-1

PMCPMC13554235

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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.