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Vargas, C. D. M.

Publications and source records attributed to Vargas, C. D. M..

2 recordsLinked to original sources

A Functional and Non-Homuncular Representation of the Larynx in the Primary Motor Cortex of Mice, a Vocal Non-Learner

Vocalization is a complex behavior ranging from fully innate to advanced vocal learning. Vocal learning species possess a vocal primary motor cortex (M1) region that makes direct projections to brainstem vocal motor neurons, which are thought to facilitate learning and fine modulation of vocalizations. Surprisingly, a similar, albeit sparse, direct projection from M1 was found in mice. Mice produce ultrasonic vocalizations (USV) which appear to be mostly innate. Modulation of these USVs is impacted by lesions to this M1 region, but genetic ablation of the cortex leads to few, if any, changes to USVs. It remained unclear whether M1 has any control over the vocal organ in a vocal non-learning species. In the current study, we found that stimulation in different parts of M1 in mice can generate contractions in laryngeal and jaw muscles, with different latencies suggestive of both direct and indirect projections to brainstem vocal motor neurons. Viral tracing reveals both single- and double-labeled populations of cortical neurons that simultaneously innervate laryngeal, jaw, and forelimb motor circuits. Chemical lesions reveal that an anterolateral orofacial region of M1 regulates the number of syllables in vocal sequences. Our results provide evidence that M1 in a vocal non-learner has some influence on vocal musculature, consistent with the continuum hypothesis of vocal learning. They also reveal that the representations of muscles for different behaviors across mouse M1 are more intermixed than previously considered. We discuss how these results impact hypotheses on the evolution of cortical vocal control and motor cortex organization.

neuroscience↗

Analysis of Mouse Vocal Communication (AMVOC): A deep, unsupervised method for rapid detection, analysis, and classification of ultrasonic vocalizations

Some aspects of the neural mechanisms underlying mouse ultrasonic vocalizations (USVs) are a useful model for the neurobiology of human speech and speech-related disorders. Much of the research on vocalizations and USVs is limited to offline methods and supervised classification of USVs, hindering the discovery of new types of vocalizations and the study of real-time free behavior. To address these issues, we developed AMVOC (Analysis of Mouse VOcal Communication) as a free, open-source software to analyze and detect USVs in both online and offline modes. When compared to hand-annotated ground-truth USV data, AMVOCs detection functionality (both offline and online) has high accuracy, and outperforms leading methods in noisy conditions, thus allowing for broader experimental use. AMVOC also includes the implementation of an unsupervised deep learning approach that facilitates discovery and analysis of USV data by clustering USVs using latent features extracted by a convolutional autoencoder and isimplemented in a graphical user interface (GUI), also enabling users evaluation. These results can be used to explore the vocal repertoire space of the analyzed vocalizations. In this way, AMVOC will facilitate vocal analyses in a broader range of experimental conditions and allow users to develop previously inaccessible experimental designs for the study of mouse vocal behavior.

animal behavior and cognition↗