Intermediate acoustic-to-semantic representations link behavioral and neural responses to natural sounds.

ABSTRACT: Recognizing sounds implicates the cerebral transformation of input waveforms into semantic representations. Although past research identified the superior temporal gyrus (STG) as a crucial cortical region, the computational fingerprint of these cerebral transformations remains poorly characterized. Here, we exploit a model comparison framework and contrasted the ability of acoustic, semantic (continuous and categorical) and sound-to-event deep neural network representation models to predict perceived sound dissimilarity and 7 T human auditory cortex functional magnetic resonance imaging responses. We confirm that spectrotemporal modulations predict early auditory cortex (Heschl's gyrus) responses, and that auditory dimensions (for example, loudness, periodicity) predict STG responses and p

SUBMITTER: Giordano BL 

PROVIDER: S-EPMC10076214 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature