Auditory midbrain coding of statistical learning that results from discontinuous sensory stimulation.

ABSTRACT: Detecting regular patterns in the environment, a process known as statistical learning, is essential for survival. Neuronal adaptation is a key mechanism in the detection of patterns that are continuously repeated across short (seconds to minutes) temporal windows. Here, we found in mice that a subcortical structure in the auditory midbrain was sensitive to patterns that were repeated discontinuously, in a temporally sparse manner, across windows of minutes to hours. Using a combination of behavioral, electrophysiological, and molecular approaches, we found changes in neuronal response gain that varied in mechanism with the degree of sound predictability and resulted in changes in frequency coding. Analysis of population activity (structural tuning) revealed an increase in frequency classi

SUBMITTER: Cruces-Solis H 

PROVIDER: S-EPMC6065201 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature