A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex.

ABSTRACT: The auditory pathway consists of multiple stages, from the cochlear nucleus to the auditory cortex. Neurons acting at different stages have different functions and exhibit different response properties. It is unclear whether these stages share a common encoding mechanism. We trained an unsupervised deep learning model consisting of alternating sparse coding and max pooling layers on cochleogram-filtered human speech. Evaluation of the response properties revealed that computing units in lower layers exhibited spectro-temporal receptive fields (STRFs) similar to those of inferior colliculus neurons measured in physiological experiments, including properties such as sound onset and termination, checkerboard pattern, and spectral motion. Units in upper layers tended to be tuned to phonetic fe

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC6386396 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature