A microphone array enables the vocal contribution of each socially interacting individual to be quantified, and reveals that vocalizations are exchanged between the sexes during mouse courtship.

Computer simulations of interaural time difference decoders show that heterogeneous tuning of binaural neurons leads to accurate sound localization in natural environments.

The accuracy of the Hybrid Vocalization Localizer (HyVL) brings a revolution to the study of social vocalizations of rodents and other animals, where vocalizations often occur in close proximity, and will empower downstream analysis of sequence and semantic analyses.

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

Human brain has incorporated natural statistics of spatial cues to the neural code supporting perception of sound location.

Principal neurons of the brainstem nucleus comparing sound level at the two ears do not have the slow response properties previously attributed to them, but are instead specialized for fast weighing of excitation and inhibition.

A theoretical model that uses maximally informative spectrotemporal features to classify vocalizations, trained solely on natural guinea pig vocalizations, predicts guinea pig behavioral performance in classifying natural as well as spectrotemporally manipulated vocalizations.

In light of the mysteries underlying the biphonic nature of Tuvan throat song, information from multiple modalities is combined to explain how this remarkable phenomenon is achieved biomechanically.

For perceptual inference, human observers do not estimate sensory uncertainty instantaneously from the current sensory signals alone, but by combining past and current sensory inputs consistent with a Bayesian learner.

Precisely sequenced patterns of neuronal activity associated with the production of a skilled behavior begin and end as part of orchestrated activity across functionally diverse populations of cortical premotor neurons.