A hierarchy of processing complexity and timescales for natural sounds in the human auditory cortex.

ABSTRACT: Efficient behavior is supported by humans' ability to rapidly recognize acoustically distinct sounds as members of a common category. Within the auditory cortex, critical unanswered questions remain regarding the organization and dynamics of sound categorization. We performed intracerebral recordings during epilepsy surgery evaluation as 20 patient-participants listened to natural sounds. We then built encoding models to predict neural responses using sound representations extracted from different layers within a deep neural network (DNN) pretrained to categorize sounds from acoustics. This approach yielded accurate models of neural responses throughout the auditory cortex. The complexity of a cortical site's representation (measured by the depth of the DNN layer that produced the best mod

SUBMITTER: Rupp KM 

PROVIDER: S-EPMC12067213 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature