Vocalization categorization behavior explained by a feature-based auditory categorization model.

ABSTRACT: Vocal animals produce multiple categories of calls with high between- and within-subject variability, over which listeners must generalize to accomplish call categorization. The behavioral strategies and neural mechanisms that support this ability to generalize are largely unexplored. We previously proposed a theoretical model that accomplished call categorization by detecting features of intermediate complexity that best contrasted each call category from all other categories. We further demonstrated that some neural responses in the primary auditory cortex were consistent with such a model. Here, we asked whether a feature-based model could predict call categorization behavior. We trained both the model and guinea pigs (GPs) on call categorization tasks using natural calls. We then teste

SUBMITTER: Kar M 

PROVIDER: S-EPMC9633061 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature