2024
Neurons for infant social behaviors in the mouse zona incerta
Li Y, Liu Z, Santana G, Capaz A, Doumazane E, Gao X, Renier N, Dietrich M. Neurons for infant social behaviors in the mouse zona incerta. Science 2024, 385: 409-416. PMID: 39052814, DOI: 10.1126/science.adk7411.Peer-Reviewed Original ResearchConceptsInfant social behaviorSocial behaviorZona incertaSomatostatin-expressing neuronsNeural basisInfant behaviorBehavioral distressEmotional developmentMaternal presenceNeural activity manipulationFacilitation of learningBrain centersSocial interactionPopulations of neuronsInfant mouse brainPreweaning miceMouse brainNeuronsInfantsMiceActive manipulationBehaviorMothersDistressIncertaSqueakOut: Autoencoder-based segmentation of mouse ultrasonic vocalizations.
Santana GM, Dietrich MO. SqueakOut: Autoencoder-based segmentation of mouse ultrasonic vocalizations. BioRxiv 2024 PMID: 38712291, DOI: 10.1101/2024.04.19.590368.Peer-Reviewed Original Research
2021
Deficiency of the paternally inherited gene Magel2 alters the development of separation‐induced vocalization and maternal behavior in mice
Ortiz G, Santana GM, Dietrich MO. Deficiency of the paternally inherited gene Magel2 alters the development of separation‐induced vocalization and maternal behavior in mice. Genes Brain & Behavior 2021, 21: e12776. PMID: 34812568, PMCID: PMC9744533, DOI: 10.1111/gbb.12776.Peer-Reviewed Original ResearchConceptsOrigin-specific mannerGenomic imprintingMouse developmentPaternal genesMammalian offspringDeficient offspringLoss of Magel2Specific mannerGene Magel2GenesOffspring resultsMAGEL2Combined expressionOffspringAltered behaviorSeparation-induced vocalizationsVocal behaviorExpressionMammalsPostnatal developmentGrowthImprintingPup growthAnalysis of ultrasonic vocalizations from mice using computer vision and machine learning
Fonseca A, Santana GM, Ortiz G, Bampi S, Dietrich MO. Analysis of ultrasonic vocalizations from mice using computer vision and machine learning. ELife 2021, 10: e59161. PMID: 33787490, PMCID: PMC8057810, DOI: 10.7554/elife.59161.Peer-Reviewed Original ResearchConceptsMachine learning methodsUser-defined parametersDimensionality reduction toolComputer visionComputational visionMachine learningUser inputAudio filesLearning methodsDifferential geometry approachData setsGeometry approachProbability distributionRelevant informationVisionReduction toolRobust methodSoftwareFilesLearningClassificationInformationSetNeedTool