Animal Vocal Communication and Behavior

The paper examines if alpaca hums encode individual identity through acoustic features and finds spectro-temporal features provide more accurate classification than MFCC.

The paper identifies the posterior insula as a brain region encoding vocal expression and reception in socially interacting mice, showing context-dependent activity patterns.

This study shows that reducing PLXNA1 in mouse motor cortex layer 5 neurons increases projections to vocal motor neurons and expands vocal abilities.

The paper analyzes acoustic communication rhythms across 98 species, finding that vocalization rhythms are conserved around a 3Hz optimum, suggesting a universal neural constraint.

This study examines how canary songs change syntactically and acoustically during the mating season, revealing non-random trends in order and disorder across individuals.

This study shows that millisecond-scale spike timing codes for vocal acoustics exist throughout songbird vocal development, contradicting the hypothesis that rate-based coding transitions to timing-based coding during learning.

The paper analyzes neural activity in marmoset frontal cortex during natural vocal behaviors using a GLM model, finding distributed functional organization rather than distinct subfield specialization.

The paper identifies a 200% expansion of orofacial motor cortical projections to auditory and midbrain regions in singing mice, suggesting a mechanism for vocal behavior evolution.

This study shows marmoset monkeys use active sampling in vocal interactions to gain information about their social environment, outperforming a vocal accommodation model.

This study examines the daily vocalization patterns of Saipan Reed Warblers, finding they sing throughout daylight without dawn or evening choruses.

This study shows that reducing inhibition in a premotor area of adult zebra finches can restore vocal plasticity and allow new syllables to be added to their song after the critical period.

This study reports an adult male gibbon producing female-specific great-calls, suggesting reduced testosterone levels may allow for cross-sex song production in gibbons.

This study examines the ontogeny of sound production in Danionella cerebrum, finding that click production begins in the second month of life and increases in abundance and structure over the next one to two months.

The paper shows female tungara frogs avoid mating with males infected by chytridiomycosis by discriminating their less attractive mating calls.

The paper introduces MAARU, a low-cost, open-source multichannel acoustic recorder for spatial ecosystem monitoring, demonstrating its accuracy in localizing sounds and improving species identification.

The paper documents coordinated vocalizations in male African elephants during group departures, suggesting active leadership and consensus among closely bonded individuals.

The paper examines individual-specific associations between behavioral events and song notes in budgerigars, finding both unique and universal patterns in their vocal sequences.

The paper compares timing entropy in human speech and courtship songs of three species, finding similar entropy maximization patterns.

The paper examines how emotional vocalizations affect neurochemical release and behavior in the amygdala of mice, showing sex- and estrus-state-dependent differences in acetylcholine and dopamine release.

This study investigates alarm calls in Gekko gecko, revealing distinct call types and laryngeal biomechanics, suggesting G. gecko as a model for understanding vertebrate vocal evolution.

The paper develops a model to analyze vocal turn-taking in marmoset monkeys and identifies key factors influencing this behavior, showing similar patterns in meerkats.

This study identifies universal low-frequency temporal features in vocalizations across species, showing they span a common acoustic space and predict future time courses.

This study shows that maternal behavior affects vocal practice, syllable repertoire size, and mature syllable production in greater sac-winged bat pups.

ARBUR is a machine learning system that clusters rat ultrasonic vocalizations and detects social behaviors, revealing communication patterns and novel findings in social interactions.

The paper links neuronal intrinsic properties to learned song structure in zebra finches through a network model showing how rebound excitation enables sequence representation.

AVN is a deep learning pipeline for analyzing zebra finch songs, providing interpretable features and comparing song phenotypes across experiments and developmental stages.

The paper analyzes audio evidence from seven Ivory-billed Woodpecker expeditions and identifies a 587 Hz pattern in kent sounds, suggesting the species may still exist.

This study measures auditory development in zebra finches and finds that hatchlings have significantly lower hearing sensitivity than adults, challenging the idea of early parent-offspring vocal communication in embryos.

The paper investigates neuronal responses in marmoset medial prefrontal cortex area 32 to complex sounds, finding that over half of neurons respond to conspecific vocalizations and show dynamic activity patterns.

SqueakOut is a lightweight autoencoder for segmenting mouse ultrasonic vocalizations from spectrograms, achieving a Dice score of 90.22.