A computational model of the neuronal network that recognizes mating signals reveals network properties that support and constrain behavioral diversity in a species group.

The genetic and behavioral diversity of the zebra finch, both in the wild and in captivity, make it well-suited for neuroethological studies of vocal learning, culture, and social bonding.

Songbirds can use arbitrary visual cues to immediately, flexibly and adaptively control syntax of learned song vocalizations in a manner that parallels human cognitive control over syllable sequencing in speech.

A machine learning model, TweetyNet, make it possible to scale up annotation of birdsong across individual birds, days of song, and species.

The nematode worm C. elegans consumes familiar bacterial species more rapidly than it does novel ones, and this preference for familiarity is mediated by a pair of serotonergic neurons.

DAS is a universal tool for segmenting and identifying acoustic signals in single and multi channel recordings robustly, reliably, and at low latency.

Auditory experience of a species-specific courtship song in developing Drosophila tunes adult song perception and resultant sexual behavior more selective.

The auditory periphery of Ormia ochracea does not allow for spatial release from masking.

The atomic resolution cryo-EM structure of somatostatin receptor 2 (SSTR2) provides insights into the mechanism by which SSTRs recognize their ligands and will serve as a platform to develop selective agonists and therapeutics.

People’s neural activity travels between a small number of brain states based on what they are thinking and paying attention to.