A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity information.

Abstract figure legend Using large datasets of neural responses to diverse sounds recorded across four stages of the mouse auditory system (depicted and colour-coded on the left), offset responses oc...

The entire auditory system downstream of the cochlea features pronounced offset responses, which follow the termination of sounds. Because of their ubiquity, it is still an unsolved question whether o...

Scientific Data - A large annotated dataset of vocalizations by common marmosets

Responses to local and global violations in sound sequences are prediction errors and not simply the consequence of stimulus-specific adaptation.

A neocortical–entorhinal–hippocampal network model based on grid cell states recapitulates experimental results and reconciles the spatial, associative and episodic memory roles of the hippocampus.

Oby, Degenhart, Grigsby and colleagues used a brain–computer interface to challenge monkeys to override their natural time courses of neural activity. They found the time courses to be highly robust, ...

The auditory system transforms temporal information in sounds into spatial information for rapid associations with decisions.